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Joined December 2021
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TransCrypts has raised $15M to build the future of on chain verification. Consumer empowered credentials verified on chain is the only way to create trust for digital interactions in the age of AI. We already work with over 500 enterprises and are only getting started
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Trust is becoming programmable. Identity, compliance, and verification infrastructure need to evolve for the AI internet. Excited to be building that layer alongside @PanteraCapital.
The internet's trust layer is breaking. AI agents now act as humans online, and generative models can fake almost any document or face. The verification systems behind people, credentials, and applications were built for a pre-AI era. This month, we highlight three portfolio companies at different layers of the stack: - @Alchemy - @TransCrypts - @worldnetwork panteracapital.com/portfolio…
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This map highlights where fake credentials and resume fraud are most concentrated across the UK in 2025, with England accounting for the overwhelming majority of cases while Scotland, Wales, and Northern Ireland see significantly lower volumes, showing how fraud activity scales with population size, hiring demand, and major economic hubs as CV manipulation and identity misrepresentation continue to rise
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This map shows where employment and credential fraud is most concentrated across Canada in 2025, with Ontario, Quebec, and British Columbia standing out as the biggest hotspots while smaller provinces and territories see significantly lower volumes, highlighting how hiring fraud is heavily tied to population size, job market activity, and major economic centers as scams involving fake resumes, credentials, and identity misrepresentation continue to rise nationwide
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Job scams and fake credentials are costing hundreds of millions across the U.S., with California, Florida, and Texas leading in losses while outdated hiring checks continue to miss what’s actually happening, and TransCrypts brings real verification into the process so companies can trust who they hire
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AI hiring fraud is scaling fast from 12% to a projected 72% in just three years and most companies are still relying on systems that were never built to detect it, which is exactly why verifiable and tamper proof credentials are becoming critical to hiring decisions
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Only 19% of hiring managers are extremely confident they can catch fraud while most are unsure or only moderately confident, which shows how broken current hiring verification really is and why trust needs to be built into the system itself with verifiable credentials.
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7600 fake diplomas making it into real hospitals shows how broken credential validation is and how easily bad actors can slip through when systems rely on paperwork instead of proof.
Over 7,600 fake diplomas were distributed for NURSING JOBS Across the UNITED STATES! The investigation involved many international nursing candidates, including those from INDIA and HAITI who purchased these credentials to work in the U.S. Over 7,600 counterfeit nursing diplomas (and likely tens of thousands more) were sold by a massive fraud ring (Operation Nightingale). International candidates many from India and Haiti paid $10K–$15K for phony credentials from shuttered Florida “schools.” No real classes. No hands-on training. They simply bought the paperwork, sat the NCLEX exam, got licensed in multiple states, and walked straight into U.S. hospitals.
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TransCrypts retweeted
JUST IN: 🇺🇸 NASA Artemis II crew capsule successfully splashes down on Earth.
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91% of recruiters have already caught candidate deception. 62% say candidates are better at faking identities with AI than companies are at detecting it. AI isn’t just speeding up hiring, it’s making fraud easier to scale. Trust is breaking down, and verification is becoming critical 🚨
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AI is everywhere in hiring but trust is lagging far behind. 87% of companies use AI 99% of Fortune 500 93% plan to increase usage But only 26% of candidates trust it And 65% of managers have already caught AI deception High adoption, low trust is the real risk.
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Hiring fraud is hitting real business outcomes. 60% of companies saw fraud losses increase last year 70% now view it as a major financial risk 41% have already faced candidate fraud 29% report delays or missed targets from bad hires 23% lost over $50K This isn’t theoretical anymore. It’s operational and financial impact.
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Hiring fraud isn’t rare anymore it’s the norm. 72% of companies have seen AI generated or edited resumes 62% report exaggerated skills 48% fake credentials 38% fake references 23% deepfake or identity fraud in interviews Even more companies say these are serious threats. The gap between what’s happening and how we verify candidates is getting bigger.
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Time Spent on Traditional Credential Verification vs Instant Cryptographic Verification Manual checks: 7.8 hours Education & employment verification: 2 days Full background check (criminal references) 4 days Traditional hiring process (end-to-end) 42 days TransCrypts: Instantaneous ⚡️ Sources: Sources: Checkr, First Advantage, Yardstik & SHRM Hiring Benchmarks 2025–2026
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AI is taking over hiring but trust hasn’t caught up. 87% of companies now use AI in recruitment (99% of Fortune 500). 65% of recruiters actively rely on it. 93% plan to increase usage in 2026. Yet only 26% of job candidates trust AI to evaluate them fairly. The adoption is massive. The trust gap is real.
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TransCrypts retweeted
If someone can apply for benefits under a fake identity and get approved, that points to a serious verification gap.
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Hiring fraud isn’t rare anymore. It’s becoming a real business cost. 23% of companies lost over $50K last year from hiring or identity fraud. 10% lost over $100K. And half of managers say it’s happened multiple times.
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AI hiring fraud is accelerating.... 50% of businesses have already encountered AI deepfake fraud. 17% of hiring managers say they’ve faced a deepfake candidate. ~60% report fraud losses increasing since 2024. And 72% of leaders now rank AI-enabled fraud as a top threat. Traditional hiring checks are quickly losing ground to GenAI scams.
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Hiring fraud is quietly becoming a real business risk. 63% of companies have already updated hiring protocols because of AI-driven fraud. 65% have had to train HR teams to detect it. 70% of managers say the financial risk is still underestimated. Yet only 19% are confident their current process actually catches it. As resumes become easier to fake and AI tools get better, companies are realizing hiring verification has to evolve too.
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62% of recruiters say candidates exaggerate skills. 59% are seeing AI-generated or heavily edited resumes. Hiring fraud isn’t rare anymore, it’s becoming normal. Verification is struggling to keep up....
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