SaaS, Field Service Technology & Business Automation Leaders to Watch in 2026

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Field Service Technology &

Generative AI Examples: How These Companies are Shaping the Next Tech Revolution

Business Automation Leaders to Watch in 2026

Pg. 46 The World’s Top Manufacturing Companies Across Every Industry

CEO of Solvrix

SCOTT Building Better Systems by Solving the Right Problems

TERRELL

EDITOR’S Note

Automating Ambition: The Architects of Tomorrow’s Field Service Revolution

Dear Readers, Every industry reaches a point where technology stops being a convenience and becomes the foundation of how work gets done. Field service and business automation are living through that shift right now, as software moves from the back office to the front line, connecting people, projects and information in ways that once seemed impossible. This issue, “SaaS, Field Service Technology & Business Automation Leaders to Watch in 2026,” celebrates the founders and chief executives turning that shift into lasting change for the businesses and communities they serve. On the cover is Scott Terrell, Founder and CEO of Solvrix, the company behind SolvPro. After nearly two decades working alongside contractors across construction, septic and wastewater industries, Scott built his career on solving real operational problems rather than chasing product ideas. That grounding led him to found WebTrax, then Solvrix, and eventually SolvPro, an all-inone field service management platform bringing scheduling, estimating, job costing, payments and communication into one connected system. His guiding principle, which he calls Profit Visibility, is simple: give business owners the right information while the job is still happening, so decisions can still change the outcome. SolvPro also offers a native bilingual experience, letting English-speaking offices and Spanish-speaking crews share real-time updates without relying on a single translator. For Scott, success is measured not in feature counts but in the moment a contractor admits the software should have existed five years earlier, and his focus remains on restraint as much as innovation, choosing carefully what not to build. Alongside him, this issue also features Gabriel Pinchev, Founder and CEO of FieldPulse; Stan Chia, Chief Executive Officer of Housecall Pro; Ara Mahdessian, Co-Founder and Chief Executive Officer of ServiceTitan; and Chris Carson, Founder and Global CEO of EchoTwin AI. Together, these leaders prove that the future of field service is not about adding more software, but about giving people clarity, confidence and time back in their day. As automation grows more capable, the businesses that thrive will be those built by leaders who never lost sight of the people doing the work. This issue is a tribute to that balance, and to the vision it takes to build it. Sincerely,

SIMRAN KHAN Managing Editor

Credits Publisher Archana Ghule Editor-in-Chief Vikram Suryawanshi Managing Editor Simran Khan Project Editor Shadab Mestri ™

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10. Scott Terrell

18. Ara Mahdessian 28. Chris Carson 42. Gabriel Pinchev 54. Stan Chia

Articles 22.

Corporate Travel Management Innovation

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Generative AI Examples: How These Companies are Shaping the Next Tech Revolution

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The World’s Top Manufacturing Companies Across Every Industry

Content

Profiles

SaaS, Field Service Technology & Business Automation Leaders to Watch in 2026 Scott Terrell

Ara Mahdessian

Founder and CEO of Solvrix

Co-Founder and Chief Executive Officer of ServiceTitan

www.solvrix.com

www.servicetitan.com

Chris Carson

Gabriel Pinchev

Founder and Global CEO of EchoTwin AI

Founder and CEO of FieldPulse

www.echotwin.ai

www.fieldpulse.com

Stan Chia Chief Executive Officer of Housecall Pro www.housecallpro.com

Cover Story

CEO of Solvrix

SCOTT TERRELL

Building Better Systems by Solving the Right Problems

10 | AUGUST 2026

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Cover Story

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or most construction and field service companies, the biggest challenge isn't simply a lack of software. It's managing the complexity of people, projects, and information. Every project involves moving people, equipment, schedules, customers, and information at the right time. When those pieces fall out of sync, even the best technology cannot keep operations on track. That reality has shaped Scott Terrell, Founder and CEO of Solvrix, the company behind SolvPro, for more than two decades. Before founding his software companies, Scott spent nearly two decades working with large manufacturers and the contractors they served across construction, septic, wastewater, and related industries. Much of his work centered on solving real operational problems – giving him a firsthand understanding of how information, people, and processes break down in the field. These experiences taught him that lasting improvements rarely begin with technology alone. “Technology doesn't fix broken processes,” he says. “It simply exposes them faster.”

Ethan Terrell Media Creator

The lesson became the foundation of his approach. About seventeen years ago, he founded WebTrax to develop enterprise SaaS applications tailored to organizations with complex operational needs. Years later, through Solvrix and ultimately SolvPro, he expanded that vision, bringing the same level of thoughtful software design to small and mid-sized service businesses that often operate without access to enterprise-grade tools. Unlike many founders who begin with a product idea, Scott built his career by solving business problems first. The software came later. Looking back, each chapter of his professional journey prepared him to build technology that fits the way people actually work instead of forcing people to adapt to the software. Today, that philosophy lives inside SolvPro, an allin-one field service management solution designed for contractors and service businesses. By bringing scheduling, estimating, work orders, change orders, job costing, customer communication, payments, reporting, and business intelligence into one connected system, the platform helps owners spend less time searching for information and more time managing profitable work. 12 | AUGUST 2026

Johnny Vargas Technical Sales, bi-lingual

Solving the Gap Between Work and Profit Many software products begin with a new feature or a market opportunity. SolvPro grew out of a pattern Scott could not ignore. During conversations with contractors and service business owners, he kept hearing the same frustration. Business was growing, crews were busy, and schedules were full. Yet when the work was done, owners often struggled to explain where the profits had gone. That recurring question pushed him to look beyond accounting reports. He found that lost profit usually started much earlier, in everyday communication. A change order went unrecorded. Material costs never reached the office. Labor hours exceeded the estimate. Teams assumed everyone had the same information, while language barriers between the office and the field made small misunderstandings even more costly. “Profit Visibility™ is about getting the right information to the right people while the job is still happening,” he says. “That’s when better decisions can still change the outcome.” Leading with Simplicity and Purpose Years of building enterprise software have shaped Scott’s leadership philosophy, but not in the way many might expect. While technology has changed dramatically, the principles guiding his work have remained remarkably consistent. Experience has shown him that the best product decisions begin by listening to customers who solve these operational challenges every day. “Customers understand the problem better than we ever will because they live it every day. Our job isn’t necessarily to build exactly what they ask for. Our job is to understand why they’re asking for it and find the simplest way to solve the underlying problem,” he says.

That perspective influences every decision his team makes. Rather than adding features to create longer product lists, they focus on making everyday work easier. He believes complexity may impress software companies, but simplicity earns the trust of customers. He has seen businesses invest heavily in platforms that looked powerful during a demonstration, only to watch employees return to whiteboards and text messages because the software was too difficult to use. For him, real innovation is measured by outcomes, not feature counts. When customers tell him, “I wish we’d had this five years ago,” he knows the team has succeeded. Bringing Order to Everyday Operations Ask Scott about the biggest operational challenge facing many field service companies, and he is quick to point out that it is not a lack of software. It is having too much of it. Scheduling lives in one application, estimates in another, invoices somewhere else, and spreadsheets fill the gaps. Meanwhile, work orders travel through text messages or sit folded inside a technician’s truck. “That’s not a technology strategy,” he says. “That’s organized chaos.” SolvPro was built to replace that fragmented approach with a single connected platform. It brings together scheduling, estimating, work orders, change orders, time tracking, job costing, customer communication, payments, reporting, and business intelligence so teams always work from the same information. One feature reflects his practical mindset. SolvPro offers a native bilingual experience that allows English-speaking office staff and Spanish-speaking field crews to work in their preferred language while sharing real-time information.

Being busy isn’t the same as being profitable. Profit doesn’t disappear because people aren’t working hard. It disappears because businesses lose visibility.

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Cover Story Instead of relying on one employee to translate every update, the platform helps every team member stay informed, aligned, and productive. Why Visibility Matters More Than Software Over the years, Scott has noticed a common misconception among growing businesses. When profits begin to shrink, or projects fall behind, many assume they need better software. In reality, the problem often runs much deeper. The real challenge is a lack of visibility into what is happening across the business while work is still in progress. For him, visibility extends far beyond financial reports. It means knowing when labor costs are exceeding estimates, whether change orders have been billed, if material expenses are climbing unexpectedly, and whether office staff and field crews are working from the same information. These small gaps often go unnoticed until they appear as lower profits at the end of a project, when the opportunity to correct them has already passed.

The platform also removes communication bottlenecks. Office staff and field crews share the same information in their preferred language, reducing confusion and unnecessary follow-up. The result is not only greater efficiency but also a workplace where every employee can contribute with confidence. Understanding the Weight Owners Carry For Scott, these challenges go beyond software. He has spent years around contractors and understands how much of the business owners carry in their heads – coordinating crews, answering customers, tracking changes, solving problems, and still wondering at the end of the day whether the jobs they completed actually made money. “The owners we work with aren’t afraid of hard work,” Scott says. “The problem is that eventually the business gets too big to keep everything in your head.” That perspective shapes how Scott approaches technology. The goal isn’t to give owners another system to manage. It’s to reduce uncertainty, give them confidence in what’s happening across their business, and let them focus on running it instead of constantly chasing information.

Instead of discovering overruns weeks later through accounting reports, business owners gain immediate visibility into when labor begins exceeding estimates, when materials push a project beyond budget, or when an unapproved change order threatens profitability. That real-time awareness is what Scott calls Profit Visibility™ — turning operational information into decisions while there is still time to change the outcome.

One excavation contractor described running his business as trying to keep dozens of moving parts organized in his head. Information was scattered across grease boards, sticky notes, emails, and text messages, forcing him to check multiple places every morning just to make sure nothing had been overlooked.

Turning Information into Better Decisions

“The hardest part wasn’t doing the work,” he explained. “It was constantly wondering if I was forgetting something. There’s always this weight on your shoulders.”

Scott believes the value of automation is not measured by how many tasks a platform can perform. It is measured by how quickly it helps business owners find answers. Reports have their place, but they often explain what has already happened. By then, the opportunity to correct a problem has usually passed. SolvPro approaches automation differently. Routine information is captured as employees complete their work instead of relying on someone to remember the details hours or days later. Combined with real-time data, that information gives owners an accurate picture of labor costs, job progress, and operational performance while projects are still underway. Decisions that once depended on month-end reports can now be made the same day. 14 | AUGUST 2026

After implementing SolvPro, that constant uncertainty began to disappear. Scheduling, work orders, notes, crew communication, photos, and job updates were finally connected in one place. Instead of searching for information, his team always knew where to find it, and he no longer worried about important details slipping through the cracks. “The stress just melts away,” he said. “When everything is in one place, you can finally stop trying to remember everything and start focusing on running the business.” For him, the biggest change wasn’t simply having better software. It was regaining confidence that every job, every customer, and every crew was moving forward with the right information at the right time.

My CPA friends love reports. Business owners love answers. Removing Communication as an Obstacle

Kai Stanton Sales Manager

Communication often appears to be a language problem, but Scott sees it differently. After years of working with contractors, he has found that the real challenge is making sure the right information reaches the right people at the right time. In many companies, one bilingual employee ends up translating work orders, customer requests, safety instructions, change orders, and phone calls. Over time, that person becomes the center of every conversation and an operational bottleneck. SolvPro was designed to eliminate that dependency. Office teams can work in English while field crews operate in Spanish, with work orders, notes, photos, checklists, and updates synchronized automatically across the platform. Everyone sees the same information without relying on a single translator to keep projects moving.

Cristina Escot Inside Sales, bi-lingual

By removing communication barriers, the platform reduces costly mistakes, improves productivity, and creates a smoother experience for both employees and customers. Instead of changing the way people naturally communicate, SolvPro ensures communication no longer stands in the way of getting the job done. The Discipline to Stay Focused Building software for established industries requires more than technical expertise. It also demands the ability to make difficult decisions that may not be popular in the moment. Scott has faced that challenge many times as customers suggested new features they believed would improve the platform. While many of those ideas had merit, he knew that adding every request could gradually make the product harder to use.

Wajahat Naeem Senior Engineer, Team Lead MIRRORREVIEW.COM | 15

Cover Story Over the years, Scott has learned that growth often depends as much on restraint as it does on innovation. Every new feature introduces another layer of complexity, and complexity can take attention away from the platform’s primary purpose. “Leadership isn’t just deciding what to build,” he says. “It’s having the discipline to decide what not to build.” That philosophy has helped keep SolvPro focused on solving its core challenge: giving business owners clearer visibility into their operations. By resisting unnecessary additions, Scott has ensured the platform remains practical, intuitive, and aligned with the needs of the people who use it every day. Measuring Success Beyond the Numbers Scott doesn’t define success solely by the usual milestones of product launches, user counts or transaction volumes, even though his companies have achieved all three. Across WebTrax, Solvrix, and SolvPro, he has spent more than two decades developing enterprise SaaS platforms for organizations throughout the United States. During that time, his team has modernized legacy systems, supported businesses ranging from small service companies to large enterprises, and managed millions of business transactions. Yet those accomplishments tell only part of the story. He is more proud of the experience his team has gained than the statistics they can report. When business owners move from relying on instinct to making decisions based on real-time operational data, they begin to understand their businesses in a completely different way. For him, that shift represents the most meaningful measure of success. It reflects the platform’s true purpose of helping companies operate with greater clarity, stronger control, and more predictable profitability. A Vision Shaped by Real-World Problems Scott’s entrepreneurial journey has never followed the traditional startup path. Instead, each venture has built on lessons learned from solving practical business challenges. WebTrax laid the foundation by helping enterprise organizations overcome complex operational issues and modernize the way they managed information. Years of working across industries revealed a recurring pattern: businesses were not falling behind because of a lack of effort. They were losing time and money because critical information remained scattered across disconnected systems. 16 | AUGUST 2026

“I didn’t come from the startup world,” he says. “I came from the world of solving real operational problems.” That experience led to the creation of Solvrix, which focuses on modernizing legacy platforms and reducing technical debt. SolvPro emerged as the next step in that evolution, bringing enterprise-level capabilities to small and mid-sized service businesses. His vision is simple. Contractors should have access to powerful technology that simplifies operations, improves decision-making, and lets them focus more on serving customers than searching for information. Looking Beyond the AI Conversation As artificial intelligence becomes a larger part of business software, Scott believes the conversation should shift from technology itself to the decisions it enables. In his view, the real value of AI is not in adding another feature to a platform but in helping business owners identify problems before those problems affect profitability. Scott believes the future of field service software is not simply automating routine work. It is building systems that recognize operational risks before managers do. Instead of asking business owners to search dashboards for answers, tomorrow’s platforms will surface exceptions automatically, identifying labor overruns, missing change orders, scheduling conflicts, and profitability risks before they become expensive surprises. This represents the next stage of operational intelligence, where software becomes less of a reporting tool and more of an operational advisor that reduces uncertainty and gives business owners greater confidence in every decision they make. Building Technology with Purpose After more than two decades of working with contractors and service businesses, Scott remains convinced that the biggest opportunities rarely come from building more technology. They come from understanding the people who use it. Entrepreneurs already work hard. What they need are fewer operational surprises, clearer visibility into their businesses, and the confidence to make better decisions before small issues become costly problems. That belief continues to guide every product his team develops. SolvPro was not created to add another application to a contractor’s toolbox. It was built to simplify operations, strengthen communication, and make profitability easier to understand while work is still underway.

“We don’t start with technology and look for a problem to solve,” he says. “We start with the problem and ask, ‘What can we build that makes someone’s day easier?’” Turning that vision into reality takes more than a single founder’s perspective; it requires a team with deep expertise across its own disciplines. Behind the platform is a dedicated group bringing decades of combined experience across customer service, software engineering, development, and the field trades themselves. By blending technical expertise with hands-on industry knowledge, the team helps ensure SolvPro is built around the realities of the people and businesses it serves. That philosophy, backed by a multidisciplinary team, continues to shape SolvPro’s long-term vision. Every solution begins by understanding a real operational problem before deciding what technology should do to solve it, and every innovation is measured by one standard: whether it helps people work smarter, communicate better, and build stronger companies. Scott believes contractors deserve the same operational intelligence long available to large enterprises, without the complexity that often comes with it. His vision is not simply to build another field service platform, but to help every contractor make faster, better-informed decisions with confidence. If successful, SolvPro will not be remembered for the software it built, but for changing how service businesses understand profitability itself.

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E

very trade has its paperwork, the invoices scrawled on a clipboard, the receipts stuffed into a shoebox on the passenger seat of a work truck, the late nights spent squaring numbers at a kitchen table long after the last job of the day is done. It is unglamorous, invisible labor, the kind that never makes it into a pitch deck, and for decades it was simply accepted as the cost of running a plumbing outfit or an HVAC company. Ara Mahdessian grew up watching that particular kind of exhaustion up close, and he built a company on the conviction that it did not have to be permanent. Ara is the Co-Founder and Chief Executive Officer of ServiceTitan, a role he has held continuously since June 2007, a stretch of more than nineteen years that has taken him from a Los Angeles startup to the head of a publicly traded software company. ServiceTitan today bills itself as the leading software platform for running a residential or commercial services business, and it is now used by more than 15,000 contractors, the electricians, roofers, landscapers, and HVAC technicians who keep the country's homes and buildings running. A Business Born at the Kitchen Table The origin of ServiceTitan is, fittingly, a story about paperwork. Ara, who grew up watching his father, a residential contractor, work long days in the field and long nights managing the business, watched his own family wrestle with the same shoeboxes of invoices and receipts that so many contracting families know intimately. He went on to study Management Science and Engineering at Stanford, and it was that collision, an engineer’s instinct for elegant systems meeting a childhood spent inside the chaos of small business bookkeeping, that eventually produced ServiceTitan. He built the company with his co-founder, Vahe Kuzoyan, out of Los Angeles, and its headquarters have remained in the region ever since. 20 | AUGUST 2026

What they built was deliberately comprehensive. ServiceTitan is not a single tool bolted onto a contractor’s existing workflow. It is, in the company's words, a cloud-based platform that combines scheduling, dispatch, invoicing, sales, marketing, reporting, and accounting integration into one system, incorporating what the company calls industry best practices so that a contractor does not have to reinvent operational wisdom on their own. The pitch was never simply “software for contractors.” It was a promise to make the entire back office of a trade business as modern, and as manageable, as any Silicon Valley company’s. The Investors Who Bet on the Trades That promise attracted serious capital. ServiceTitan has been backed by an unusually deep bench of institutional investors, including Bessemer Venture Partners, ICONIQ Capital, Battery Ventures, Index Ventures, T. Rowe Price, Dragoneer, Mucker Capital, and I2BF Capital. It is a list that reads more like the cap table of a consumer tech unicorn than a company selling scheduling software to plumbers, and that, in a sense, was the point. Ara’s argument, made consistently over more than a decade, was that the trades were an overlooked and underestimated market, one that Wall Street had simply never bothered to look at closely. That argument found its most public vindication on December 12, 2024, when ServiceTitan began trading on Nasdaq under the ticker TTAN. It has since marked that date each year as the Day of the Trades, a small ritual meant to signal that the industry itself, not just the company, had finally been noticed. Speaking the following year at ServiceTitan’s Pantheon 2025 conference in Anaheim, in front of a crowd the company put at more than 4,000 people, Ara told the room that Wall Street had “recognized what we've known all along,” an industry he described as underappreciated and overlooked for far too long.

A Warning Wrapped in Optimism Ara’s public remarks in that same address were not entirely triumphant. He used part of his keynote to deliver something closer to a warning about the pace of technological change, telling the audience plainly that “AI is coming for jobs.” It was a striking thing for a software CEO to say to a room full of the very customers his company depends on, and it reflected a theme that has run through his public commentary for some time: that the disruption automation brings to the trades is not hypothetical; it is already underway, and the contractors who adapt fastest will be the ones who benefit most. That tension, between selling automation and being honest about what automation displaces, sits at the center of how he talks about the company’s mission. He has framed the company’s job as being a steward for its customers’ success rather than simply a vendor, pledging continued investment in making ServiceTitan’s core and pro products as automated and meaningfully effective as possible, not merely more automated for automation’s sake. It is a distinction that matters enormously to an industry built on trust between a business owner and the tools they depend on to make payroll. What Watching Him Now Actually Means To place Ara Mahdessian on a list of leaders to watch in 2026 is, in one sense, almost redundant. He has already built the category. ServiceTitan is not an emerging player experimenting with field service software; it is the incumbent that other companies in this space are measured against, a public company with nearly two decades of operating history under his leadership in a sector that spent generations being ignored by technology investors.

But that is precisely why he belongs on this list. The leaders worth watching are not always the newest entrants. Sometimes they are the ones whose early bet has finally, publicly, paid off, and whose next decisions, about AI, about the next wave of contractors coming into the trades, will shape what the industry looks like for everyone following behind him. He has spent more than nineteen years building the case that the people who keep America's homes and businesses running deserve software as sophisticated as the work they do. In 2026, with ServiceTitan trading publicly and its founder still at the helm, that case looks less like an ambition and more like a fact already proven. MIRRORREVIEW.COM | 21

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CORPORATE TRAVEL

MANAGEMENT INNOVATION Go Zero-Touch in 2026 n 2026, corporate travel is moving toward zero-touch booking. AI can read a calendar invitation, create a trip plan that adheres to company rules, and send it for one-tap approval. This makes booking faster and easier while helping companies reduce costs, avoid travel issues, and manage expenses better.

I

The Global Business Travel Association expects global business travel spending to reach a record $1.71 trillion in 2026. It also estimates 1.84 billion business trips this year. Since spending is growing faster than the number of trips, companies need to manage every travel dollar carefully.

The Next Era of Business Travel

This pressure is driving new ideas in corporate travel management. Since it is already 2026 and CTM/platforms are actively testing or deploying this, change “could soon create” to “can now generate.” Present it as an active feature rather than a distant future prediction. Travel is becoming a way to save time, control costs, and support business growth.

Corporate travel once meant using three different websites. Employees had to compare prices manually and wait for a manager’s approval before booking a business trip. Today, that slow process is changing.

This shift toward automated travel, shared traveler data, and better cost control is changing what modern business travel providers offer. It is also changing the daily role of corporate travel managers.

» 01: Zero-Touch Mobility Systems How Zero Touch Corporate Travel Works Zero-touch corporate travel is a booking system that manages the entire trip through software. It handles everything from booking the trip to submitting the final expense report, without requiring the traveler to search or book manually. Corporate Travel Management (CTM), one of the larger corporate travel agencies in the industry, is already testing this workflow for routine trips. Its AI manages each step, from the first request through the final expense report.

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Here’s how it works. An executive accepts a meeting invite in Microsoft Teams or Outlook. The system checks the trip against company travel policies and searches flights and hotels from approved partners. It then shows one approved travel plan directly in the chat app. The traveler can confirm the booking with one tap on a phone or computer. There is no need to switch between websites or enter details manually. Researchers call this a “trust flywheel.” When travelers see that the system regularly finds good options that follow company rules, they stop using outside booking sites. This keeps more company travel spending within approved and trackable channels. This is also a key direction for modern travel technology. Many travel teams now see traditional booking portals as only a temporary solution. The industry is moving toward booking travel through the apps employees already use for work instead of making them visit a separate website.

» 02: Solving Data Fragmentation for Executive Trips What is Corporate Travel Management in 2026? Modern corporate travel management extends far beyond booking flights and hotels. It spans travel policies, budget allocations, compliance rules, duty of care, and the overall traveler experience. In the past, this information lived in disconnected systems. Expense platforms, hotel programs, ground transit providers, and travel services rarely communicate. By unifying these disparate tools into a single traveler profile, software can now anticipate logistical issues before they happen. For instance, if a flight is delayed, the system can automatically update ground transportation pickup times and send an alert to the hotel for a late check-in. This is predictive mobility in action. Personalization has quickly become a core benchmark for business travel software. A platform that merely processes transactions without learning from historical travel patterns is already obsolete. How Corporate Clients Manage Multiple Travelers on One Itinerary Unified data systems are equally vital for group logistics and multi-person trips. When a sales team heads to the same regional conference or client site, travel managers can view cumulative hotel occupancy, ground transfers, and spend in a single dashboard rather than tracking disjointed individual bookings.

» 03: Dynamic Policy and Cost Control Rate Engines That Adjust in Real Time Fixed travel policies often fail when prices suddenly rise. A set hotel limit or flight budget may look fine, but higher prices can lead to rejected bookings or out-of-policy purchases. 24 | AUGUST 2026

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26 | AUGUST 2026

For busy domestic flights booked less than two days before departure, fares can be nearly twice the average price. This gap is growing as flights become fuller. Dynamic pricing policies solve this by adjusting spending limits based on real-time demand, local events, and past booking trends. They help travelers stay within the overall travel budget. Unlike traditional travel programs that update limits only once or twice a year, these systems adjust spending as prices change. Many companies also use virtual corporate cards to automatically control spending when a booking is made. The system also helps manage travel problems and keep travelers safe. If a flight is delayed or a storm affects the trip, it can automatically find a suitable new flight, update the hotel, and record the change. In many cases, this happens before the traveler even gets a cancellation alert. AI use supports this trend. About 80% of business travelers already use generative AI to help plan trips. More than half are also comfortable letting AI handle the full process, from booking flights and hotels to submitting expense reports, according to FCM Travel research. For CFOs, this flexibility can save money. It also cuts costs caused by higher last-minute fares and the time employees spend changing bookings manually. Corporate Travel Managers Become Systems Auditors A New Role, Not a Smaller One None of this means companies no longer need travel managers. Their role is simply changing. In the past, travel managers spent much of their time checking policies and approving bookings manually. Now, automation handles much of this routine work, so managers focus more on checking how the AI makes decisions. They use data to monitor compliance instead of reviewing every booking. They also make sure the AI follows company policies and that its decisions can pass compliance checks. This requires new skills. Travel managers now use dashboards to track key numbers, such as off-policy bookings, booking times, and how quickly the system handles travel disruptions.

They also explain the results to company leaders. A good travel manager can show how AI reduces costs, improves service, and keeps travel policies on track. For this system to work, companies need three things: clean data, a gradual rollout that helps employees trust the new process, and clear reports showing exactly how much money the automation saves. Conclusion: Building a Scalable Mobility Framework Corporate travel management improves through small steps, not one big software purchase. First, bring all travel data into one traveler profile. Then, automate simple bookings that make up most business trips. Once the system is reliable, add flexible travel policies. Companies that automate too quickly without clean data often face more problems and exceptions.

Global business travel spending is expected to exceed $1.71 trillion this year and reach nearly $2 trillion by 2030. At the same time, old booking systems are becoming more costly. For business leaders, the key question is not whether to automate, but where to start. The best corporate travel programs combine AI-powered booking with reliable data and strong oversight. This helps companies cut costs, follow travel policies, and keep employees safe. It works for both simple, same-day flights and complex executive trips. Which part of your travel program should be automated first: regular domestic bookings, executive travel, or handling travel disruptions?

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CHRIS Architecting the AI-Powered Metropolis of Tomorrow

28 | AUGUST 2026

Founder and Global CEO l EchoTwin AI

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modern metropolis showcases remarkable human ingenuity, but its complex network of infrastructure, services, and regulations poses a growing challenge for urban managers. Amidst this complexity, a powerful force is emerging that promises to reshape the functioning of our cities: artificial intelligence. Leading this revolution is Chris Carson, the Founder and Global CEO of EchoTwin AI. His company is dedicated to a crucial aspect of urban operations: transforming automated compliance monitoring for smart cities. Imagine a future where AI and digital twin technologies work together seamlessly to create urban environments that are not only smarter but also demonstrably safer, more sustainable, and inherently resilient. This vision drives Chris and EchoTwin AI as they leverage intelligent automation to develop the cities of tomorrow. From the Front Lines to the Forefront of Innovation Chris’s journey to revolutionary leadership began in the United States Marine Corps. His service with the Fleet Antiterrorism Security Team (FAST) instilled discipline, strategic thinking, and core leadership skills that would later shape his entrepreneurial approach. This initial focus on security and problem-solving provided a strong foundation for his future endeavors in the technology sector. Following his military service, Carson pursued a PhD in Computer Vision at Waseda University in Japan. Additionally, his rigorous study in Japan broadened his perspective and deepened his understanding of the technology that now drives smart city advancements. Upon completing his degree Chris moved to Silicon Valley, the hub of technological innovation, to pursue his entrepreneurial dream. This move marked his transition from academic expertise to building impactful solutions. 30 | AUGUST 2026

At Silicon Valley, Carson established Hayden AI, a company specializing in mobile vision AI systems for automated traffic enforcement. This venture provided him with practical experience in the smart city domain, understanding the needs of municipalities and the challenges of deploying AI-powered solutions in urban environments. The insights and experience gained at Hayden AI were instrumental in laying the groundwork for the more comprehensive vision behind EchoTwin AI. EchoTwin AI: The Intelligent Nervous System for the Modern City Chris identified a core issue in the smart city sector. His conversations with city authorities revealed dissatisfaction with existing technology, often labeled AI, which failed to deliver expected results. This direct feedback highlighted a need for a more effective solution. In response, EchoTwin AI developed the CityWide platform. This innovative platform integrates AI, digital twin technology, and AIoT sensors to create a comprehensive urban management system. CityWide generates a dynamic digital model of a city that allows for continuous monitoring, analysis, and prediction. The technology tackles important urban challenges. To enhance infrastructure reliability, the platform uses AI-driven predictive models that can identify potential failures in roads and other assets before they happen. This allows for proactive maintenance, which helps prevent costly repairs and safety hazards. Additionally, the system includes automated change detection, which monitors modifications to infrastructure and generates reports for relevant agencies. In terms of operational efficiency, CityWide provides real-time situational awareness through AI-powered analytics, visualizing data on road conditions, waste and debris detection, and compliance status. The digital twin technology layers multiple urban data points, offering enhanced insights for city planning and informed decision-making. Compliance monitoring is another key area where EchoTwin AI is making significant strides. By leveraging real-time data from vehicles, robots, and drones, the platform automates the process of ensuring service, regulatory, and safety compliance for various urban operations and service providers.

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Additionally, CityWide tackles the increasing issue of waste and debris management. The platform employs AI algorithms to analyze data from municipal vehicles, identifying the buildup of waste and debris, which allows for quick responses and helps create cleaner urban environments.

This information is stored in the digital twin platform, where AI generates insights for city planners and maintenance teams. Additionally, the company is exploring the use of drones for incident validation and robotics for automated maintenance.

EchoTwin AI’s vision aligns with global trends in smart city development. Initiatives such as NEOM in Saudi Arabia, Dubai’s 2040 Urban Master Plan, and Paris 2050, along with advancements in mobility globally, inspire their approach to creating resilient, adaptable, and sustainable urban centers through technology.

The company evaluates success through a variety of metrics. These include operational improvements such as reduced compliance violations and lower maintenance costs. Safety metrics, like a decrease in road incidents, are also tracked, along with sustainability metrics, such as CO2 reduction. Additionally, feedback from city planners regarding system efficiency provides valuable insights.

Safety, Sustainability, and Resilience Powered by AI

Chris Carson’s Vision and the Future of EchoTwin AI

EchoTwin AI’s technology offers significant benefits, particularly in urban safety. For example, continuous monitoring of road infrastructure helps identify potential hazards such as potholes and debris, allowing authorities to take prompt action. Additionally, automated compliance tracking ensures that contractors follow safety regulations. The real-time detection of debris and waste hazards further improves road safety for all urban commuters.

Chris leads EchoTwin AI with a clear vision. His leadership emphasizes innovation and strategic thinking to establish the company as a leader in urban digital twin technology. He focuses on building effective teams and fostering an innovative culture that meets customer needs.

In terms of environmental sustainability, EchoTwin AI’s analysis optimizes various urban operations. This includes reducing emissions by improving maintenance schedules and traffic flow. Their waste management system facilitates the quick detection and removal of pollutants, contributing to cleaner cities. Moreover, automated compliance tracking minimizes the unnecessary wastage of resources. When it comes to building resilient urban infrastructure, predictive analytics play an essential role. These tools help cities anticipate and manage potential infrastructure failures, strengthening their defenses against climate change and deterioration over time. Integrating waste monitoring into resilience strategies also promotes proactive management of environmental risks. Furthermore, strict compliance enforcement ensures that infrastructure is maintained to high standards. The benefits of EchoTwin AI arise from its data ecosystem. AIoT-enabled city vehicles continuously gather and analyze urban data. Algorithms assess various elements, such as road conditions, asset integrity, compliance, and environmental factors like waste. 32 | AUGUST 2026

Introducing AI to government sectors can be challenging. His strategy involves collaborating with cities on pilot programs to showcase the tangible benefits of their technology. Demonstrating return on investment (ROI) through case studies and developing adaptable AI solutions that integrate seamlessly with existing infrastructure are also key components of his approach. Looking ahead, EchoTwin AI plans to expand its AIpowered compliance monitoring to additional smart city applications, including infrastructure and environmental management. The company intends to strengthen partnerships in key global regions and continue advancing its AI models to improve predictive analytics and digital twin capabilities. In conclusion, Chris Carson’s journey from his disciplined background in the Marine Corps to becoming a leader in AI innovation establishes him as an important figure in the development of smart city technology. His leadership at EchoTwin AI is initiating a significant transformation in the management of urban environments. The long-term effects of their technology are set to redefine urban living, promoting the creation of more efficient, safer, and ultimately more sustainable cities for future generations. Through his vision and the transformative capabilities of his work, Chris is actively shaping the intelligent cities of tomorrow.

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EchoTwin AI was born from direct conversations with cities and authorities who expressed frustration over inefficiencies in urban infrastructure and waste management and monitoring compliance.

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GENERATIVE EXAMPLES rtificial Intelligence is a buzzing word in the world. Several industries are implementing AI partially or are in beta testing. So, as an entrepreneur, you must be searching for generative AI examples, Right?

A

discovery and treatment. It has developed a cloudbased platform that transforms the workflow of pathologists. This not only increases their productivity but also boosts their diagnostic confidence.

First, we have to understand its depth. AI is transforming our world and showcasing glimpses of our bright and dream-come-true future from sci-fi movies. The most popular AI tools that we often hear about are ChatGPT, Google Gemini, and Bing Copilot.

In addition, Paige has joined forces with Microsoft. Together, they have built the world’s largest image-based AI models. These models are specifically designed for digital pathology and oncology.

As the integration of these generative AI is taking place across various sectors, let us have a look at specific generative AI examples.

Lastly, Paige has made a significant breakthrough. It has introduced a new AI-Based Biomarker Screening Advancement. This innovation drastically reduces diagnostic turnaround times.

Generative AI Examples According to Specific Industries

As a result, it enables doctors to make precision treatment decisions more efficiently.

Generative AI Examples in Healthcare 2. Drug Discovery 1. Diagnosis and Imaging Paige.ai leverages generative AI for cancer pathology analysis. Paige is a company that uses cutting-edge AI technologies to revolutionize pathology. This makes generative AI accessible to doctors, enhancing their ability to diagnose and treat diseases. Moving on, Paige isn’t just about the present. It’s building the future of cancer diagnosis. By offering a comprehensive digital pathology platform and robust AI applications, it’s paving the way for advancements in medical science. Now, let’s delve into some key points. Paige harnesses the power of AI to usher in a new era of cancer 34 | AUGUST 2026

Insilico Medicine is utilizing generative AI to design and develop new drugs. Insilico Medicine is a globally recognized biotech company. It leads the way in end-to-end generative AI-driven biotechnology. The mission of Insilico Medicine is noteworthy. It aims to extend healthy productive longevity. This is achieved by transforming drug discovery and development with generative artificial intelligence. Key points about Insilico Medicine: The company plays a significant role in the medical field. It reduces the time and cost of delivering life-saving medications to patients.

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They possess a unique tool, the Pharma.AI platform. This proprietary platform accelerates drug discovery and development. It spans across biology, chemistry, and clinical development.

This benefits both quality teams and clinicians, showcasing the power of generative AI examples in healthcare.

Another remarkable platform they have is in Clinico. This data-driven platform forecasts a single clinical trial’s success probability.

4. Product Design & Development

Lastly, a notable member of Insilico Medicine’s Scientific Advisory Board is Michael Levitt. He won the Nobel Prize in Chemistry in 2013. His groundbreaking work in protein structure and protein folding using computer modeling is commendable. 3. Patient Care and Communication Navina’s AI assistant helps doctors by generating reports, summarizing patient data, and even drafting referral letters. Navina is a company that provides a clinician-first AI platform. The mission of Navina is to streamline patient care. It achieves this by transforming chaotic data into actionable patient portraits. Key points about Navina: Navina’s proprietary AI is a game-changer. It integrates data from EHRs and other sources. The AI surfaces what’s important and identifies potential quality and risk gaps requiring attention. Furthermore, Navina provides efficient pre-visit planning. It ensures accurate diagnosis capture, improved risk adjustment accuracy, and superior quality compliance. This reduces the burden on physicians, making their work more manageable.

Generative AI Examples in Manufacturing

Autodesk partnered with Airbus to utilize generative AI for designing future jetliners. Airbus, the aircraft manufacturer, is a shining example of generative AI in action. It has been using advanced technologies like generative design and 3D printing to transform air travel into a dynamic, eco-friendly experience. Moving on, Airbus’s Innovation Manager, Bastian Schaefer, is at the forefront of this transformation. He is working tirelessly to make jetliners more efficient and comfortable. As part of the team that developed the Airbus Concept Plane, Schaefer’s insights are shaping the future of air travel. This vision of the jetliner of 2050 will be much lighter, use less fuel, and leave a smaller carbon footprint. This complex vision relies on cutting-edge technology inspired by nature: generative design. Schaefer began working with Autodesk Research, using generative design to develop what the team called “the bionic partition.” Generative design is a technology that mimics nature’s evolutionary approach to design. It starts with your design goals and then explores all possible permutations of a solution to find the best option. This is one of the many generative AI examples that are revolutionizing industries. 5. Predictive Maintenance

Navina’s AI engine meets risk adjustment needs. It streamlines pre-visit reviews with AI-powered HCC recommendations. This simplifies the workflow for everyone involved, making it a practical application of generative AI. Lastly, Navina offers a complete risk adjustment solution. It covers everything from pre-visit planning to point-of-care assessment. Navina’s AIpowered solution for care gap management streamlines the quality workflow. 36 | AUGUST 2026

GE Predix is an AI platform used by GE Aviation for predictive maintenance in jet engines. The Predix Platform by GE Digital. It serves as an IoT edge-to-cloud foundation shared by GE Digital applications. Moving on, the Predix Platform is more than just a platform. It’s a cloud-based Platform-as-a-Service (PaaS) specifically designed for the industrial internet.

Generative design often produces complex geometric shapes and structures. These may be difficult to conceive manually but are excellent generative AI examples. These designs can leverage the full potential of advanced manufacturing techniques such as additive manufacturing (3D printing).

Furthermore, the Predix Platform connects various elements. It links machines, data, people, and other assets. This is achieved using leading technologies for distributed computing, big-data analytics, asset data management, and machine-to-machine communication. Lastly, Predix Essentials is the commercial offering of the Predix Platform. It offers customers a complete package of the core Predix Platform services used by GE Digital applications. This showcases the practical application of generative AI examples in the manufacturing industry.

Lastly, generative design can optimize designs across multiple disciplines. This includes structural analysis, fluid dynamics, thermal management, and electromagnetic simulations. It achieves optimal performance across various criteria, showcasing the power of generative AI in action. Generative AI Examples in Agriculture 7. Precision Agriculture with AI Insights “Planet” provides the most current and complete agricultural insights across every region and season. Planet company specializes in “Monitoring for Precision Agriculture.” It provides high-resolution, high-frequency satellite solutions. These solutions offer critical insights necessary for productive, profitable, and sustainable farming.

6. Tools & Companies Generative Design technology by Siemens Software Generative Design Technology by Siemens Software enables design collaboration with artificial intelligence in engineering. Moving on, generative design is a unique capability of CAD generative engineering applications. It autonomously generates a number of design alternatives given a set number of constraints. This can be done without an engineer’s guidance or interaction, freeing them up for other tasks. Once complete, the engineers can choose which designs they want to explore more completely. Generative design in CAD is an innovative approach. It involves using algorithms and AI to generate multiple design options based on specified parameters and constraints. Furthermore, it allows designers and engineers to explore a wide range of potential solutions. They can optimize designs for various objectives such as weight reduction, material efficiency, cost minimization, and performance enhancement.

Moving on, Planet provides the most current and complete agricultural insights. These insights span across every region and season. With Planet, growers can measure crop health from preseason to harvest. This allows them to farm more efficiently, profitably, and sustainably. Furthermore, Planet’s daily stream of high-resolution satellite imagery is noteworthy. It enables precision agriculture at scale, even in regions with frequent cloud cover. Providing a combination of broad area coverage, field-level detail, frequent in-season revisit rates, and rapid access, Planet provides valuable input at each stage of crop management. Lastly, Planet’s simple cloud-based APIs are worth mentioning. They allow Planet data to be integrated into your software pipeline with ease. Planet’s high cadence monitoring and 3-5 meter resolution imagery allow you to track agricultural processes with ease. This showcases the practical application of generative AI examples in the agriculture industry.

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8. Predictive Disease and Pest Control Phytech uses generative AI to analyze historical data and weather patterns to predict outbreaks of crop diseases and pests. Phytech is a company that connects growers to their plants, helping them monitor, plan, automate, and manage various aspects of farming. Moving on, Phytech’s technology is based on direct data from your trees, fruits, soil, climate, and irrigation system. This allows for a more efficient and effective farming process. Furthermore, Phytech provides direct health and water demand data. This allows trees to indicate when and how much water they need to produce high-quality yields. It’s a practical application of generative AI examples in agriculture. Phytech offers a full picture of your farm’s needs at a glance. This includes stressed blocks, irrigation performance, and Phytech’s recommendations. It’s a testament to the power of generative AI in action. Phytech’s pressure sensors placed on the irrigation system monitor actual irrigation in each block. This ensures optimal water usage and promotes sustainable farming practices. In addition, Phytech helps growers reach their desired fruit size. It tracks the fruit’s growth against a trajectory and controls its size by applying irrigation. At last, Phytech offers ongoing irrigation consultancy and support. 9. AI-powered Chatbots for Personalized Learning Plantix uses generative AI to create chatbots that answer farmers’ questions about crop health, pest identification, and best practices.

Furthermore, Plantix has a community of agriexperts. They provide advice and share their experiences, contributing to a knowledge-rich platform. The app also provides information on specific crop diseases and prevention methods. This ensures a successful harvest, demonstrating the power of generative AI in action. Lastly, Plantix has achieved a significant milestone. As the most downloaded ag-tech app worldwide, it has answered more than 100 million crop-related questions from farmers. This is a testament to the impact of generative AI examples in the industry. Generative AI Examples in Education 10. Personalized Learning Platforms ALEKS creates individualized learning paths for students in math, chemistry, statistics, and accounting. ALEKS is an adaptive online learning program. It caters to various subjects like math, chemistry, statistics, and accounting. ALEKS enables all students to have the same learning opportunity. With ALEKS, students achieve mastery more than 90% of the time, showcasing the effectiveness of generative AI examples in education. Furthermore, ALEKS is a research-based, online learning program. It offers course products for Math, Chemistry, Statistics, and more. Rooted in 20 years of research and analytics, ALEKS provides a deep understanding of each student’s knowledge and learning progress.

Plantix is a free app that serves as a prime example of generative AI in action. It helps farmers diagnose and treat crop problems, thereby improving productivity and providing farming knowledge.

Constantly adapting to update each student’s knowledge state, ALEKS guides students to precisely what they are ready to learn at all times. This ensures a personalized learning experience for every student.

Moving forward, Plantix offers a unique feature. Farmers can take a photo of their sick crop and get a free diagnosis and treatment suggestions in a few seconds. This showcases the practical application of generative AI examples in agriculture.

At last, ALEKS helps students master course topics through a continuous cycle of mastery, knowledge retention, and positive feedback. It has helped over 25,000,000 students and counting, demonstrating the impact of generative AI examples in the industry.

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11. Language Learning italki connects students with online language tutors. italki is a language learning platform connecting students with certified language tutors from around the world. It offers 1-on-1 lessons that are customizable and trusted by millions of users. You can learn from certified teachers who fit your budget and schedule, showcasing the flexibility of generative AI examples in education. Furthermore, italki provides a global community of language learners. This fosters a collaborative learning environment and enhances the learning experience. In addition, italki offers a wide range of language options. You can pick from over 150 languages including English, Japanese, Spanish, Chinese, French, Italian, German, Portuguese, Korean, Arabic, and more. Lastly, italki offers various resources for learning beyond the classroom. These include assessments, podcasts, articles, topics, prompts, quizzes, and more. This comprehensive approach to language learning demonstrates the far-reaching impact of generative AI examples in the educational sector.

Teachers can make any slides-based lessons interactive with Nearpod. They can gather data on student understanding by adding formative assessments, simulations, and dynamic media. Additionally, Nearpod offers gamification and activities like Time to Climb, Matching Pairs, Draw It, and NEW Drag & Drop. These features enhance the learning experience and make it more engaging. Lastly, Nearpod is flexible and can be used in various environments, be it classroom, distance learning, or hybrid. It integrates with the tools you’re already using, such as Power Points, Google Slides, worksheets, videos, and other resources. This showcases the practical application of generative AI examples in the educational sector. Generative AI Examples in Advertising and Marketing 13. Marketing Copywriting Anyword is an AI writing platform that uses natural language processing to generate and optimize marketing content. Anyword is a versatile tool that stands as a prime example of generative AI in advertising and marketing. It can be used to create and optimize content for websites, social media, email, and ads.

Nearpod allows teachers to create interactive lessons that include quizzes, polls, and open-ended questions.

Moving on, Anyword boasts a range of features. It offers custom scoring models that train AI models on brand and performance data. This ensures the content generated is in line with the brand voice and is likely to perform well.

Nearpod is a real-time student engagement platform that stands as one of the prime generative AI examples. It offers interactive lessons, videos, gamification, and activities.

Furthermore, Anyword supports customization. It allows users to define keywords to maintain brand voice and relevance. This showcases the flexibility of generative AI examples in content creation.

Moving on, Nearpod provides real-time insights into student understanding. It does this through interactive lessons, videos, gamification, and activities, all within a single platform.

In addition, Anyword caters to a variety of content types. It includes social media descriptions, headlines, and email marketing. It also provides templates for various platforms, enhancing the user experience.

Furthermore, Nearpod allows teachers to visualize and support student understanding. It enables them to adapt instruction or address misconceptions on-the-fly, showcasing the flexibility of generative AI examples in education.

Lastly, Anyword excels in ad copy creation and optimization. It enhances ad copy creation and optimization for platforms like Google and Facebook. This demonstrates the practical application of generative AI examples in the marketing sector.

12. AI-powered Content Creation

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Anyword can be used to create and optimize all types of marketing content. This includes generating on-page content and meta descriptions for websites, creating relevant ad copies personalized to different audiences for ads, and producing hundreds of high-converting post ideas tailored to each platform for social media. 14. Media Sector muse.ai is a next-gen ad-free video hosting platform that includes a powerful embedded video player and the most advanced video search. Muse.ai is an AI-powered platform that stands as a prime example of generative AI. It uses machine learning algorithms to analyze video content and extract metadata and insights. This helps businesses store, share, and embed video or audio files on a unified interface. Muse.ai offers several advantages. One of them is automated video transcription. It converts speech into text, allowing users to search and navigate through their videos. Furthermore, Muse.ai provides an AI video search feature. Users can use this to find abstract ideas like “mysterious atmosphere” or “happy moment”. This showcases the power of generative AI examples in content discovery. In addition, Muse.ai offers private streaming. Users can enjoy ad-free and private streaming, enhancing the user experience. Moreover, Muse.ai provides AI-assisted insights. Users can use these insights to gain a deeper understanding and context within video content. In addition, Muse.ai offers advanced video search. Your videos are automatically analyzed and labeled by artificial intelligence. You can search for anything: speech, people, text, objects, sounds, actions, and more. You can swiftly find related concepts across a multitude of videos, surface relevant clips, discover unexpected insights, and zero in on the results with fine-grained filters. This demonstrates the practical application of generative AI examples in the media sector. 40 | AUGUST 2026

15. Video Creation RunwayML’s Video AI model allows users to generate videos on their phones using text. RunwayML is an AI research company. It’s shaping the next era of art, entertainment, and human creativity. Its mission is to bring the creative potential of AI to everyone. RunwayML provides a suite of tools for creative tasks. These tools are perfect generative AI examples. They include Gen-1 and Gen-2, among others. Gen-1 is a generative video-tovideo tool. Gen-2 is a generative image-to-video or text-to-video tool. They also offer a Motion Brush and tools for converting text to video, image to video, video to video, text to image, and image to image. Runway Studios is a platform created by RunwayML. It’s for anyone with a story to tell. The aim is to empower and celebrate the next generation of storytellers. The Creative Partners Program exists to uplift and empower today’s leading creatives. Established in 2023, the AI Film Festival is a celebration of the art and artists embracing new AI techniques for filmmaking. RunwayML is trusted by the world’s top creatives. It’s used by companies and creatives worldwide. It allows users to leverage AI to elevate their video editing creations. Users can produce more advanced content, including 3D animations, effects, and more. End Note These are the handful of generative AI examples we curated for our readers. But remember, the generative AI ecosystem is continuously evolving, and new businesses are consistently emerging. Staying updated with industry news and trends can help you identify the most suitable solutions for your needs. We will keep bringing up such valuable content for you.

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H

e was not from the industry. No family plumbing business, no summers spent on a work truck, no inherited fluency in the rhythms of a trade. What Gabriel Pinchev had instead was a habit of watching contractors send out handwritten paperwork and never get paid for it fast enough, and a growing certainty that the gap between how these businesses were run and how they could be run was wide enough to build a company inside of. That company is FieldPulse, and Gabriel has served as its Founder and CEO since September 2015, a tenure that has now stretched past a decade. FieldPulse, headquartered in the Dallas-Fort Worth Metroplex, describes itself simply enough: business management software for service contractors, built for the HVAC crews, plumbers, and electricians who need to manage team schedules, customer records, estimates and invoices, and timesheets, all from one application rather than a drawer full of paper and a separate app for every function. An Outsider’s Advantage Gabriel’s own account of starting the company has a bluntly physical quality to it. He has described launching FieldPulse in Dallas in 2015 as, in his words, “a punch in the mouth” kind of challenge, a new industry, a first startup, and no existing playbook for selling software to millions of tradespeople who had run their businesses off clipboards, whiteboards, and spreadsheets for generations. He studied at Southern Methodist University’s Cox School of Business, which gave him a finance background rather than an engineering one, an unusual foundation for someone who ended up building a product-heavy software platform, but one that seems to have sharpened his instinct for the economics his customers actually cared about: getting paid faster, and losing less time to paperwork. He has been candid that the timing mattered as much as the idea. Smartphones had gone mainstream, mobile internet speeds had finally caught up to what a field technician actually needed on a job site, and tradespeople were ready, whether they knew it yet or not, for something built around the phone in their pocket rather than the desktop in their office. So Gabriel built FieldPulse around mobile access and a cloud-based system, so that a technician’s phone and a business owner’s office computer stay in sync without extra effort. The platform has since expanded into a broader field-service management system covering scheduling, dispatching, work orders, estimates, invoicing, customer management, reporting, mobile operations, and workflow automation. 44 | AUGUST 2026

Listening as a Business Model If there is a single throughline in how Gabriel talks about running FieldPulse, it is a near-constant emphasis on the customer as the actual author of the roadmap. “Everything is fed by our customers,” he has said, describing a company that treats competition in its market not as a threat but as validation that the underlying problem is real. He has continued talking to customers and prospective customers directly throughout his tenure as CEO, a habit that founders often claim and just as often abandon once the company grows past its first hundred employees. That customer-first framing has carried through into how he talks about FieldPulse’s growth. In a statement following the company’s August 2025 funding round, he said the new capital would fuel the next phase of growth while keeping the company anchored to what he called industry-leading support and a relentless focus on customer success, language that, whatever its marketing gloss, matches a decade of consistent public messaging from him on the same theme. The Money Behind the Mission FieldPulse’s capital history tracks a slow, then sudden, curve typical of vertical software companies that spend years proving a market before investors take real notice. In March 2019, the company announced a $2.2 million raise led by Capri Ventures and Apple Core Holdings. In August 2025, FieldPulse closed a $50 million Series C led by Fulcrum Equity Partners, with participation from Catalyst Investors, bringing its disclosed total funding to approximately $80 million. The company said the Series C followed 4x growth in just 21 months since its Series B and came alongside continued investment in AI innovation, platform customization, and customer success. By outside reporting, the round underscored the accelerating investor interest in field service management software as contractors continue moving from fragmented, manual processes to connected digital platforms. Jim Douglass, a partner at Fulcrum Equity Partners, described the firm’s continued investment as a reflection of confidence in FieldPulse’s leadership and execution, a vote of confidence extended twice now by the same backer, which is itself a meaningful signal in a funding environment where repeat investment is far from guaranteed.

Built for the Clipboard, Not the Coast Part of what distinguishes Gabriel's version of this story is geography. FieldPulse is not headquartered in San Francisco or New York; it is built and run out of Dallas, a deliberate distance from the coastal software hubs that dominate most SaaS origin stories. That choice has shaped the company’s culture and, arguably, its product philosophy, staying physically closer to the industrial base it serves rather than the venture capital base that funds it. The company’s AI product portfolio has become a significant part of that evolution. Operator AI, its 24/7 AI dispatcher, answers calls, qualifies leads, and books jobs directly into FieldPulse, while supporting natural conversations in more than 30 languages. It is a fitting next chapter for a founder who built his entire company on the premise that the trades deserved tools as sophisticated as the technology used everywhere else, delivered without asking them to change who they are or where they work. More broadly, FieldPulse now describes its platform as an all-in-one system for residential and commercial service businesses, with customizable workflows and automations designed to streamline administrative work across the office and field. That evolution has kept the company focused on the same underlying problem he identified at the beginning: helping contractors replace fragmented, manual processes with connected software. More than a decade in, Gabriel remains closely associated with the customerdriven philosophy that shaped the company from the beginning. In an industry where founders can drift upward into strategy decks and away from the people who use their product, his continued focus on customers remains central to the way the platform develops its products and serves contractors. MIRRORREVIEW.COM | 45

THE WORLD’S TOP

MANUFACTURING COMPANIES

Across Every Industry (2026)

Manufacturing companies turn raw materials into finished products. They use machinery, automation, assembly lines, and industrial processes to create physical goods at scale. That’s the simple version. But in practice, top manufacturing companies operate in dozens of distinct industries, each with its own supply chains, technology, and market dynamics. The global manufacturing market isn’t one thing. It’s a collection of sectors from semiconductor fabs and aircraft assembly lines to food processing plants and medical device facilities. What they share is a common purpose: transforming inputs into outputs that power economies and daily life. This guide breaks down the world’s largest manufacturers by industry, explains what each sector does, names the key players, and tells you why they matter.

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Quick Stats: Global Manufacturing in 2026 According to Statista, ● $29.73 trillion is the estimated total global manufacturing output in 2026 ● $8.64 trillion is the manufacturing value added worldwide in 2026 ● 25.10% is the manufacturing intensity as a share of economic activity ● China remains the world’s largest manufacturing economy by output ● 493 enterprises per million population is the global enterprise density in manufacturing ● Semiconductors, EVs, aerospace, and renewable energy are among the fastest-growing manufacturing sectors

List of Major Manufacturing Companies by Industry in 2026 1. Semiconductor Manufacturing Companies Semiconductor manufacturers produce chips: the tiny components that power everything from smartphones and laptops to cars and industrial equipment. This sector divides into chip designers (fabless), chip foundries (fabs), and integrated device manufacturers (IDMs) that do both. Why They Matter Semiconductors are the backbone of the modern economy. Without chips, there are no smartphones, no cloud servers, no EVs, and no AI systems.

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The global semiconductor market is expected to cross $1 trillion by 2030 and continues to grow rapidly, driven by AI workloads, 5G infrastructure, and EV adoption. Top Manufacturing Companies ● NVIDIA: Though fabless (outsourcing production to TSMC), NVIDIA designs the most in-demand AI and data center GPUs in the world, making it one of the most valuable companies in the semiconductor space. ● TSMC (Taiwan Semiconductor Manufacturing Company): TSMC is the world’s largest contract chipmaker, manufacturing chips for Apple, NVIDIA, AMD, and hundreds of other companies. It controls over 50% of the global foundry market and leads in advanced process nodes like 3nm. ● Samsung Electronics: South Korea’s Samsung operates both a massive foundry and its own chip design division. It’s a leading producer of DRAM memory and NAND flash storage. ● SK Hynix: It is a leading South Korean memory chip maker and the primary supplier of HBM (High Bandwidth Memory) used in AI accelerators.

Top Electronics Companies ● Apple: Apple is the most valuable electronics brand in the world. Apple designs the iPhone, Mac, iPad, and wearables, manufacturing them through its supplier network led by Foxconn. ● Samsung Electronics: They are a dominant force in both finished products (Galaxy smartphones, TVs, home appliances) and components (displays, chips). It’s one of the few truly vertically integrated electronics giants. ● Foxconn (Hon Hai Precision Industry): Foxconn is the world’s largest EMS company. Foxconn assembles products for Apple, Dell, Microsoft, and hundreds of others across its massive factory network in Asia. ● Sony: Japan’s Sony is known for PlayStation consoles, image sensors, professional audio/video equipment, and TVs. ● LG Electronics: A South Korean leader in OLED TVs, home appliances, and automotive components. LG supplies displays to many of its competitors.

2. Electronics Manufacturing Companies Electronics manufacturers produce consumer and industrial devices like smartphones, televisions, laptops, audio equipment, and electronic components. This sector includes both OEM (original equipment manufacturers) who design and sell products, and EMS (electronics manufacturing services) companies that build products for others. Why They Matter Consumer electronics is one of the largest manufacturing segments worldwide. The global consumer electronics manufacturing market generates hundreds of billions in revenue annually. Devices like smartphones alone account for over 1.2 billion units shipped each year. 48 | AUGUST 2026

3. Aircraft Manufacturing Companies Aircraft manufacturers design and build commercial jets, military aircraft, helicopters, and spacecraft. This is one of the most complex and capital-intensive manufacturing sectors. The supply chain for a single aircraft involves thousands of suppliers across dozens of countries. Why They Matter Global air travel demand continues to recover and grow post-pandemic. Airlines are placing record orders for new fuel-efficient jets, pushing aircraft manufacturers to expand production. According to the Business Research Company, the aerospace and defense manufacturing market reached $846.94 billion in 2025.

Top Manufacturing Companies ● Boeing: Boeing is the largest U.S. aircraft manufacturer, known for the 737, 777, and 787 Dreamliner. Boeing serves both commercial and defense customers, though it has faced significant production challenges in recent years. ● Airbus: Europe’s aviation giant and Boeing’s primary global rival. Its A320 family is the world’s best-selling commercial aircraft series. Airbus holds a growing share of new airplane orders. ● Lockheed Martin: The world’s largest defense contractor by revenue. Lockheed manufactures the F-35 fighter jet, C-130 transport aircraft, and a range of military systems. ● Embraer: Brazil’s Embraer is the world’s third-largest commercial aircraft maker and leads the regional jet market with its E-Jet family.

● Hyundai Motor Group: South Korea’s Hyundai and Kia together form one of the world’s top five automakers by volume, with a strong EV push through the IONIQ and EV6 lineups. ● BYD: China’s BYD is the world’s largest EV manufacturer by volume as of 2024. It makes its own batteries, vehicles, and power electronics, making it one of the most vertically integrated automakers globally.

4. Automotive Manufacturing Companies Automotive manufacturers produce passenger cars, SUVs, trucks, commercial vehicles, and increasingly electric vehicles (EVs). This sector is undergoing its biggest transformation in a century as OEMs race to electrify their lineups and integrate software-defined features. Why They Matter The automotive industry is one of the most impactful manufacturing sectors globally, employing millions directly and indirectly across supply chains. According to the IEA, global EV sales crossed 20 million units in 2025, and that number keeps climbing as more markets adopt stricter emissions standards in 2026. Top Manufacturing Companies ● Toyota: Japan’s Toyota has been the world’s top-selling automaker for several consecutive years. It sells over 10 million vehicles annually and is a pioneer of the hybrid model through the Prius. ● Volkswagen Group: Europe’s largest automaker manages a portfolio of brands including VW, Audi, Porsche, Lamborghini, and SEAT. It is one of the largest EV investors globally. ● Tesla: USA’s Tesla is the world’s leading pure-play EV manufacturer. Tesla’s Gigafactories in the U.S., Germany, and China produce millions of EVs per year while also supplying energy storage systems.

5. Motorcycle Manufacturing Companies Motorcycle manufacturers produce two-wheelers, including street bikes, cruisers, scooters, off-road bikes, and electric motorcycles. Markets in Asia account for the largest share of global motorcycle demand. Why They Matter In many parts of the world, especially South and Southeast Asia, motorcycles are the primary mode of personal transportation. The global motorcycle market is projected to reach $8.58 billion in 2026. Electric two-wheelers are the fastest-growing sub-segment. Top Manufacturing Companies ● Honda: Japan’s Honda is the world’s largest motorcycle manufacturer by volume, selling over 20 million units per year. Honda’s Super Cub is the best-selling motor vehicle of all time. ● Hero MotoCorp: India’s Hero is the world’s largest two-wheeler maker in terms of unit sales, dominating the Indian commuter segment with affordable 100–125cc bikes.

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● Yamaha Motor: Japan’s Yamaha is a topthree global motorcycle maker, known for its sport, touring, and off-road bikes as well as marine products. ● Bajaj Auto: Another Indian giant, Bajaj exports motorcycles to over 70 countries. Its Pulsar brand is popular across Asia, Africa, and Latin America. 6. Food Manufacturing Companies Food companies process raw agricultural products into packaged, preserved, and ready-to-consume food and beverage products. This includes everything from canned goods and frozen meals to snacks, dairy, and beverages. Why They Matter Food manufacturing is one of the most essential and resilient manufacturing sectors. Global demand is stable by nature. The food manufacturing market is projected to exceed $9 trillion in output globally in 2026, driven by population growth, urbanization, and changing dietary preferences. Top Manufacturing Companies ● Nestlé: Switzerland’s Nestlé is the world’s largest food and beverage company by revenue, with brands like KitKat, Nescafé, Maggi, and Purina. ● Unilever: British-Dutch conglomerate Unilever manufactures food products alongside household and personal care goods, with brands like Knorr, Hellmann’s, and Ben & Jerry’s. ● PepsiCo: A U.S. food and beverage giant that manufactures Pepsi, Lay’s, Quaker, Gatorade, and dozens of other brands across snacks and drinks. ● Tyson Foods: One of the world’s largest protein producers, Tyson Foods, processes chicken, beef, and pork under brands like Tyson, Jimmy Dean, and Hillshire Farm. ● JBS: Brazil’s JBS is the world’s largest meat processing company by revenue, operating across beef, pork, poultry, and plant-based segments in dozens of countries. 50 | AUGUST 2026

7. Heavy Equipment Manufacturing Companies Heavy equipment manufacturers produce large machinery used in construction, mining, agriculture, and infrastructure projects. This includes excavators, bulldozers, cranes, loaders, and drilling equipment. Why They Matter Heavy equipment is the backbone of infrastructure development worldwide. As governments invest in roads, bridges, energy systems, and urban expansion, demand for construction and mining equipment remains strong. The global construction equipment market alone is projected to grow past $200 billion in the coming years. Top Manufacturing Companies ● Caterpillar: The US dominant heavy equipment maker, Caterpillar, produces excavators, bulldozers, mining trucks, and engines used across construction and mining worldwide. It also provides financial services and aftermarket parts. ● Komatsu: Japan’s Komatsu is Caterpillar’s closest rival. It leads in mining equipment and is aggressively investing in automation and autonomous mining vehicles. ● John Deere: Known for agricultural equipment, John Deere also manufactures construction machinery. Its precision agriculture technology is reshaping how large-scale farming operates. ● Liebherr: A German-Swiss manufacturer and one of the world’s largest crane makers. Liebherr also produces earthmoving equipment, mining machines, and deep-freeze systems. ● Sany Group: China’s Sany is among the world’s top five construction equipment makers by revenue. It has rapidly expanded internationally, especially in Southeast Asia, Africa, and Latin America.

8. Medical Device Manufacturing Companies Medical device manufacturers produce equipment used for diagnosis, monitoring, surgery, and patient care. This ranges from imaging machines and pacemakers to surgical robots and glucose monitors. Why They Matter The global medical device market is one of the fastest-growing manufacturing sectors, driven by aging populations, rising chronic disease rates, and increasing healthcare spending worldwide. The market is expected to exceed $1 trillion by 2034. 9. Industrial Equipment Manufacturing Companies Top Manufacturing Companies ● Medtronic: The world’s largest standalone medical device company, Medtronic, makes cardiac devices, spinal implants, surgical robots, and diabetes management tools. ● Abbott Laboratories: Abbott Labs produces diagnostics, continuous glucose monitors (the FreeStyle Libre), cardiac devices, and nutritional products. ● Siemens Healthineers: A leader in medical imaging (MRI, CT, X-ray) and laboratory diagnostics, Siemens Healthineers also develops AI-powered diagnostic tools. ● GE HealthCare: Spun off from GE in 2023, GE HealthCare manufactures imaging equipment, patient monitoring systems, and pharmaceutical diagnostics. ● Becton, Dickinson and Company (BD): BD is a major manufacturer of syringes, IV products, lab instruments, and diagnostic systems used in hospitals and clinics worldwide.

Industrial equipment manufacturers produce machinery, automation systems, robotics, electrical equipment, and control systems used in factories and infrastructure. This sector is central to Industry 4.0, which is a shift toward smart, connected, and automated manufacturing. Why They Matter As factories automate and industries digitize, demand for industrial equipment is growing fast. Robots, PLCs (programmable logic controllers), and energy management systems are now standard in modern manufacturing plants. The global industrial machinery market is growing steadily across automation and electrical segments. Top Manufacturing Companies ● Siemens: Germany’s Siemens is a global leader in industrial automation, power grids, smart infrastructure. Its factory automation and digitalization divisions are among the most advanced in the world. ● ABB: A Swiss-Swedish multinational, ABB specializes in robotics, motion control, industrial automation, and electrification. ABB’s robotics division is one of the largest globally. ● Schneider Electric: France’s Schneider Electric is a leader in energy management and industrial automation. Schneider’s EcoStruxure platform helps factories and buildings optimize energy use. ● Fanuc: Japan’s Fanuc is the world’s largest manufacturer of CNC systems and industrial robots, with over 25 million robots and CNCs installed globally. ● Honeywell: A U.S. diversified industrial company producing process control systems, building automation, safety products, and aerospace components. MIRRORREVIEW.COM | 51

10. Consumer Goods Manufacturing Companies Consumer goods manufacturers produce the everyday products people buy, like personal care products, cleaning supplies, packaged household items, home appliances, and apparel. This sector is divided into fast-moving consumer goods (FMCG) and durable consumer goods. Why They Matter Consumer goods manufacturing directly touches everyday life at scale. The largest FMCG companies sell billions of units every year across hundreds of countries. As emerging markets expand their middle class, consumer goods demand grows rapidly in regions like Southeast Asia, Africa, and South Asia. Top Manufacturing Companies ● Procter & Gamble (P&G): P&G is the world’s largest consumer goods company by revenue. P&G makes Tide, Pampers, Gillette, Head & Shoulders, and dozens of other household staples. ● Unilever: British-Dutch giant Unilever includes brands spanning personal care, home care, and food. Dove, Axe, Omo, and Rexona are among its biggest product lines. ● Haier Group: China’s Haier is the world’s largest home appliance brand by market share. It owns GE Appliances and the Fisher & Paykel brand. ● Samsung Electronics: Beyond phones and chips, Samsung manufactures refrigerators, washing machines, air conditioners, and TVs, making it a top player in consumer electronics and appliances.

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11. Renewable Energy Equipment Manufacturing Companies Renewable energy equipment manufacturers produce solar panels, wind turbines, energy storage systems, and power inverters. This is one of the fastest-growing manufacturing sectors in the world as countries accelerate the energy transition. Why They Matter According to the WEF, global investment in renewable energy tech hit over $3.3 trillion in 2026, and the pace is accelerating. Solar and wind are now the cheapest sources of new electricity in most markets. Equipment demand is surging as utilities, corporations, and governments build out clean energy infrastructure at an unprecedented scale. Top Manufacturing Companies ● LONGi Green Energy: China’s LONGi is the world’s largest solar panel manufacturer by capacity, specializing in high-efficiency monocrystalline silicon modules. ● First Solar: The leading U.S. solar manufacturer, known for its thin-film cadmium telluride (CdTe) technology, First Solar supplies large-scale utility solar projects primarily in North America. ● Vestas: A Danish company and one of the world’s top wind turbine manufacturers. Vestas has installed wind capacity in more than 80 countries. ● Sungrow: Sungrow is a Chinese manufacturer that has become one of the world’s top producers of solar inverters and battery energy storage systems (BESS). ● Siemens Gamesa: A joint venture between Siemens and Spain’s Gamesa, Siemens Gamesa is a global leader in both onshore and offshore wind turbines.

What’s Next: Future Manufacturing Trends to Watch The manufacturing world is changing fast. Here are the key trends shaping where the biggest manufacturing companies are heading:

5. Additive manufacturing (3D printing): Once limited to prototyping, industrial 3D printing is now used in aerospace, medical devices, and tooling at a production scale. Final Thoughts

1. AI and smart factories: Manufacturers are deploying AI for predictive maintenance, quality control, and production optimization. Siemens (digital twin composer), ABB, and Honeywell are leading this shift. 2. Nearshoring and supply chain reshuffling: Companies are moving production closer to home markets after pandemic-era supply disruptions. India, Mexico, and Eastern Europe are gaining manufacturing investment. 3. Electrification across sectors: From vehicles to industrial heat, electrification is driving new capex cycles for automotive, battery, and energy equipment manufacturers. 4. Sustainability mandates: ESG sustainability pressure and regulations are pushing manufacturers to cut carbon emissions, use recycled materials, and build greener supply chains.

The world’s top manufacturing companies don’t belong to one industry. They span every sector that makes the modern world run. With global manufacturing output reaching nearly $29.73 trillion in 2026, according to Statista, this is one of the most economically significant sectors on the planet. From TSMC’s chip fabs and Airbus’ aircraft assembly lines to Nestlé’s food processing plants and Vestas’ wind turbine factories, the largest manufacturers in the world serve very different markets. What they have in common is scale, capital intensity, and an increasing focus on technology and sustainability. Whether you’re researching the biggest manufacturing companies for investment analysis, competitive benchmarking, or market entry planning, understanding these sectors is the starting point. Each industry has its own dynamics, but all of them sit at the heart of global economic activity.

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L

ong before he ever sat in a boardroom, Stan Chia was responsible for twenty-seven enlistees and seven sergeants, moving an armored infantry platoon through the Singapore Armed Forces with the kind of precision that leaves no room for improvisation. He held the rank of Lieutenant, a title earned between December 1999 and March 2002, and it is tempting, looking back at the two and a half decades that followed, to see that early command as the template for everything he built afterward. Discipline first. Then scale. Today Stan is the Chief Executive Officer of Housecall Pro, a role he assumed in June of 2026, stepping in to lead an AI-powered field service platform built to serve the tradespeople, plumbers, electricians, and HVAC technicians who keep American homes running. He arrived at the company after Housecall Pro announced his appointment as the successor to Michael Beaudoin, who moved into the role of Chairman of the Board, and the timing was notable. The company is trusted by home service professionals who have collectively served one in four American homes, a scale that made the choice of who would lead it next a genuinely consequential decision.

Feeding a City, Then Scaling a Marketplace In April 2015, Stan joined Grubhub as Chief Operating Officer, a post he held for three years and eight months. It was a sprawling mandate that spanned corporate, restaurant, and enterprise sales, go-to-market strategy, business development, operations research and data science, acquisition integration, and a portfolio of delivery brands including Restaurants on the Run and Dining In. Grubhub, at the time, was one of the largest online and mobile food ordering marketplaces in the country, and his operational fingerprints were on most of what made it run. During his tenure, he helped expand Grubhub’s delivery network dramatically and scale the company’s restaurant network to more than 95,000 restaurants in 1,700 cities. That experience became the audition for his next act. In November 2018, he was named Chief Executive Officer of Vivid Seats, based in Chicago, a position he held through 2025. The headline achievement of that tenure was steering the ticketing company through its public market debut on Nasdaq, and helping scale the business through a combination of product innovation, technology investment, and acquisitions, the same playbook, in miniature, that he would later bring to a company built for the trades rather than the box office.

Six Sigma Before Silicon Valley Champion of the Pro Stan’s path there was long and deliberately industrial before it ever touched software. After graduating from the Georgia Institute of Technology with a bachelor’s degree in industrial engineering, he spent nearly five years at GE Energy, starting on the Operations Management Leadership Program in June 2005 before becoming a Black Belt in Energy Services Sourcing in 2007 and eventually a Master Black Belt in Global Parts. In that role, he helped drive Lean Six Sigma methodology across a fulfillment operation he has described as worth $3.7 billion, work that trained him in the unglamorous mechanics of supply chains long before operations became a buzzword attached to venture-backed software. From GE, he moved to Cisco Systems in March 2010, spending three years and one month leading customer-focused change through Cisco’s value chain organization, before Amazon recruited him in April 2013. At Amazon, he took on a series of leadership assignments spanning customer excellence and retail operations, eventually becoming General Manager of the company’s Toys & Games business, with responsibility for the category’s overall profit and loss. 56 | AUGUST 2026

When Housecall Pro announced Stan’s appointment, he described the opportunity in his own words as one where “the mission, market and opportunity all line up.” It is a tidy summary of a career built almost entirely around finding companies at an inflection point and pushing them through it. At Housecall Pro, that mission is explicitly framed as championing the Pro, the tradespeople and small business owners the platform serves, by expanding the product and accelerating what the company calls practical AI innovation, the kind meant to hand technicians and business owners back their time rather than replace them outright. Alongside his executive roles, he has built a parallel life on boards and in advisory rooms. He serves on the Board of Directors of Slickdeals, and remains a Board Director of 1871, Chicago’s hub for early-stage technology startups. He also sits on the President’s Advisory Board of the Georgia Institute of Technology, a relationship that began with the university’s industrial engineering advisory board. In 2026, he also became involved in Sterra AI and Chia Advisory, ventures focused on AI-enabled software, operating transformation, and advisory work.

A Resume Full of Recognition The honors have accumulated alongside the titles. Stan is an EY Entrepreneur Of The Year Midwest Award winner, was named Outstanding Tech CEO at 1871’s Momentum Awards, and has been recognized by both Crain’s Chicago Business’s 40 Under 40 list and the Stevie Awards. He holds an MBA from Emory University, layered on top of his Georgia Tech engineering degree, a combination of technical rigor and business fluency that shows up in how methodically he talks about scaling organizations. His career has followed a clear pattern: a Lieutenant’s instinct for structure, a Six Sigma engineer's obsession with process, and two decades of choosing companies mid-transformation rather than companies already arrived. Housecall Pro is his newest such bet, and its focus on software, automation, and practical AI for home-service businesses puts that experience directly into the field-service technology market. MIRRORREVIEW.COM | 57

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