In a tech world where everyone’s chasing “bigger” AI, Polygraf AI just proved smaller hits harder. The Austin-based startup, founded by Yagub Rahimov and Vignesh Karumbaya, closed a $9.5M seed round led by Allegis Capital, joined by Alumni Ventures, DataPower VC & Domino Ventures. CEO Yagub Rahimov announced it live at TechCrunch Disrupt SF, and let’s be real, there couldn’t have been a sharper stage for it. AI security isn’t background noise anymore; it’s the headline act.
Polygraf AI built its edge on SLMs, Small Language Models that don’t need the cloud to flex. These models live on-prem, operate air-gapped, and catch AI-driven threats before they become scandals. Deep fakes, insider risks, data leaks, handled. With 90.2% detection accuracy across 27 PII types, the platform’s outperforming Amazon, Azure & Google Cloud by wide margins. It’s not brawn; it’s brains optimized for defense-grade precision.
Founder & CEO Yagub Rahimov isn’t new to the exit game. From 7MARKETZ Group to TargetSignals, he’s got receipts. Co-Founder & COO Vignesh Karumbaya brings operational mastery, while Head of AI Toghrul Tahirov, Head of Product Anar Bayramov & CMO Anton Stepaniuk lead a team stacked with PhDs who treat compliance like code. When your AI runs on 8GB RAM & a 1.3GHz CPU, yet fortifies data like Fort Knox, that’s engineering discipline disguised as elegance.
This isn’t vaporware or another “trust us” startup. Polygraf AI’s system proves its math. It delivers enterprise-grade security that actually fits inside an enterprise, no GPU farms, no cloud drift, no excuses. Whether it’s defense, finance, or healthcare, they’re giving organizations AI they can control, not just consume.
Allegis Capital’s Spencer Tall nailed it: “Polygraf is tackling the hardest problem of the AI era, trust.” Backed by an advisory bench featuring former U.S. Rep. Chris Stewart (ex-Chair, House Intelligence Committee), NumPy & SciPy creator Travis Oliphant, and former CIA leadership, the company’s mix of machine learning pioneers & national security vets is rare air.
This raise pushes total funding to ~$11.75M and fuels expansion across enterprise, defense & intelligence markets. The AI governance sector’s projected to surge from $1.2B to $4.7B by 2030, and Polygraf’s SLM-first approach is built for that future. When the AI flood hits, the firms that can prove data integrity will own the tide.
