

Need to build a team?!
Why do they all look similar?
What if I unintentionally exclude someone?
What’s a ‘diverse’ shortlist supposed to look like?
Why do they all look similar?
Can I trust this AI tool to be fair?
How do I know this job post isn’t biased?
“Over 65% of startups use AI tools to hire — without audits.”
Unconscious bias doesn’t need a human.
Today, AI does it faster, with lessaccountability
Unconscious bias doesn’t need a human.
Today, AI does it faster, with lessaccountability
85% (University of Washington, 2024) ofAItoolsfavorwhite-associatednames overBlacknamesinresumescreening.
First-time founders use AI to save time, but end up outsourcing their values without realizing it. outsourcingtheirvalues
First-time founders use AI to save time, but end up outsourcing their values without realizing it. outsourcingtheirvalues
49%
(American Staffing Association, 2023) ofjobseekersbelieveAIhiringtoolsare morebiasedthanhumans.
Regulations are coming for AI hiring tools, but most startups aren’t ready. aren’tready
Regulations are coming for AI hiring tools, but most startups aren’t ready. aren’tready
NYC’sLocalLaw144nowrequiresbiasauditsfor automatedhiringtools. Morecitiesareexpectedtofollow.
Biased hiring doesn’t just harm candidates, it limits innovation, team trust, and business outcomes. limitsinnovation
Biased hiring doesn’t just harm candidates, it limits innovation, team trust, and business outcomes. limitsinnovation
76% (BCG, 2019) ofcompanieswithdiverseteamsreport higherinnovationrevenue.
“Ididn’tevenknowthetoolwe usedwasfilteringbasedon GPA.”
- Early-stagefounder
Most founders assume AI tools are neutral — but they often replicate hidden biases. Small teams lack time, tools, or guidance to assess fairness.
“WejusttrustedtheAIwould knowwhata‘goodcandidate’ lookslike.”
- Productstartupfounder
Without transparency, hiring becomes efficient but exclusionary — and founders don’t realize the impact until it’s too late.
“Ididn’tevenknowIwasbeing rejectedbyanalgorithm.”
- Gradjobseeker
Candidates often feel filtered out by factors unrelated to their skills or potential. Lack of clarity around rejection leads to frustration, distrust, and missed opportunities on both sides.
“ItflaggedmebecauseIhadagapyear— butthatwastheyearItookcareofmysick parent.”
– Entry-levelapplicant
AI doesn’t recognize non-linear journeys, caregiving breaks, or unconventional talent.
Investigatedgender biasinAIhiring systems
Narrowedtohiring systemsafteruser testing
Realizedstartups didn’tneedaudits, theyneededclarity Developedstepby-stephiringguide withembedded biasprompts
Testedanditerated basedonfeedback from5founders
Clairo is an AI auditing toolkit designed for small startups to identify and reduce bias in hiring, without needing technical expertise.
Detection
Clairo flags biased language, exclusionary filters, or risky criteria as you draft job descriptions or screen candidates — helping you stay fair from the start.
Detection
Clairo flags biased language, exclusionary filters, or risky criteria as you draft job descriptions or screen candidates — helping you stay fair from the start.
From role creation to submission, Clairo walks users through an intuitive step-by-step process that keeps hiring decisions transparent and audit-ready
Detection
Clairo flags biased language, exclusionary filters, or risky criteria as you draft job descriptions or screen candidates — helping you stay fair from the start.
From role creation to submission, Clairo walks users through an intuitive step-by-step process that keeps hiring decisions transparent and audit-ready
After each hiring request, Clairo generates a quick audit summary with suggestions — empowering founders to spot red flags and course correct with ease.
Dividedsections fordifferent skills
Real-timeAi suggestions
On-the-gobias detection
BiasReview+
Checklist
Ageneralhiringprogressbargets confusingwhenyou’rehiringformultiple roles.Itwouldbemorehelpfulifyou showedprogressrole-by-role.
Havingseparatecategoriesforhardand softskillswouldmakethehiringprocess muchclearer,notjustfortheemployer butalsoforapplicants.
MarionSadavoy
IndustryEngagementManager/ GraduateCareerCoach
“Ilovetheideaofaddingnudgesaround
compliance smallpromptscansave companiesfrombigmistakeslateron.”
Iwouldconsiderpayingforthisifitsavesme theheadacheofshortlistingandcreating structuredjobposts.Especiallyifitintegrates intotoolsIalreadyuse.
Senior Data Analyst and Hiring Manager at Chartmetric ShashankChaudhary
WhatClairoistryingtodoisreallysmart;ifitcan guidehiringandreducebiaswhilesavingus time,it’llbeahugewinforsmallteamslikeours.
Aquicksnapshotlike‘topmatches’wouldhelp meprioritizemytime,especiallywhenI’m managingmultiplepositionsatonce.
Lead Manager, Interior Deisgn studio
Head of Strategy at West X East CarlosSalom
Flags biased words & filters Awareness Shows patterns in decisions Reflection Suggests inclusive alternatives Correction Builds trust in decision-making Confidence
The AI recruitment industry is valued at $661.56 million as of 2023 and is projected to reach $1.12 billion by 2030, driven by the increasing reliance on automation in hiring processes.
The AI recruitment industry is valued at $661.56 million as of 2023 and is projected to reach $1.12 billion by 2030, driven by the increasing reliance on automation in hiring processes.
New regulations, such as New York City’s Local Law 144, mandate bias audits for automated hiring tools, highlighting the need for compliant and ethical AI solutions.
The AI recruitment industry is valued at $661.56 million as of 2023 and is projected to reach $1.12 billion by 2030, driven by the increasing reliance on automation in hiring processes.
New regulations, such as New York City’s Local Law 144, mandate bias audits for automated hiring tools, highlighting the need for compliant and ethical AI solutions.
As AI becomes more prevalent in recruitment, concerns over bias and fairness have grown. Organizations are seeking tools that ensure transparency and mitigate discriminatory practices in hiring.
Clairo will be free for solo founders and small teams with basic auditing features — including limited hiring flows and bias flagging. This builds trust and supports adoption from the ground up.
Premium users gain access to advanced bias tracking dashboards, audit archives, customizable language suggestions, and team-wide access controls. Pricing is tiered by company size and feature needs.
Revenue will also come from partnerships with startup accelerators, job platforms, and ethical AI orgs looking to integrate or recommend Clairo as part of their ecosystem.
Clairo sits at a unique intersection — low-cost, simple to set up, and built specifically for non-HRfounders. Unlike most competitors that are either enterprise-focused or built around complex workflows, Clairo is the only tool that embeds bias-awareness directly into early-stage hiring decisions. It’snotanHRsuite.It’snotjustajobboard.
It’s a fairness-first audit layer designed for speed, clarity, and real use.
Keypartnerships
We aim to collaborate with earlystage startups, incubators, and ethical hiring networks to pilot Clairo and refine its audit capabilities in real-world scenarios.
Our goal is to launch a public beta version and reach 200+ downloads within the first 3 months by engaging our pilot partners’ networks and targeted startup communities.
We’ll gather qualitative feedback and testimonials from beta users to refine product usability and validate Clairo’s real-world impact on bias awareness and hiring decisions.
Post-pilot, we’ll implement a freemium model with paid tiers for deeper audit insights and dashboard customization — targeting 10 paying teams in the first 6 months.
MuskanGupta FOUNDER DESIGNER & STRATEGIST