Fake users used to be a rounding error. An annoyance. Something teams patched with CAPTCHA, crossed fingers, and a quiet hope. Then AI showed up with unlimited stamina, zero ethics, and a talent for scale. That is the environment Verisoul was born into in Austin, TX, not as a feature, not as a tool, but as a response from people who had already watched trust collapse in slow motion.
Henry LeGard did not stumble into this problem. Bain & Company teaches you how systems fail politely before they fail publicly. Neustar and TransUnion teach you how fraud evolves faster than governance. Henry LeGard saw the pattern early. Fraud stopped being individual behavior and became organized, automated, and industrial. Verisoul was built to treat identity like infrastructure, not vibes, not guesswork.
Raine Scott brought the scar tissue. Years inside Meta and Ahead Financial dealing with fake users at a scale where small misses become global messes. Product discipline forged where fraud never sleeps and excuses never ship. Verisoul’s product DNA comes from that pressure, the kind that turns theory into muscle memory and ships only what survives contact with reality.
Niel Ketkar handled the unforgiving part. Capital One is where you learn that detection without reliability is theater. Systems must hold under load, explain themselves, and decide in real time. Verisoul pulls device signals, behavior, network forensics, biometrics, and identity intelligence together because speed is the new perimeter and hesitation is expensive.
That foundation just earned Verisoul an $8.8M Series A led by High Alpha, with Lookout Ventures, Bitkraft, Bain Future Back Ventures, and Third Prime backing the thesis. Scott Dorsey does not invest in noise. He invests in systems that compound. Zero to 100+ customers and 6x YoY ARR growth is not hype. It is signal.
The results hit where it counts. Clay cutting $150K in monthly ARR leakage. >95% fake account detection. 32% cost reduction. 80%+ win rates against incumbents built for yesterday’s threat model. Fraud is expensive. False positives are worse. Verisoul threads that needle without blinking.
What makes this moment interesting is not the round. It is the timing. Fraud is now an AI problem whether companies want it or not. Verisoul processes thousands of decisions per second across hundreds of signals because real users move fast and fake ones move faster, but only one leaves patterns worth trusting.
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