Trisha Kothari and Clarence Chio meet in San Francisco at South Park Commons
Unit21's Trisha Kothari Participates in "The Rise of Fraud and Protecting Payments" at the MX Money Experience Summit
Trisha Kothari, CEO of Unit21, and Chris Dean, CEO of Treasury Prime Host "ChatTPE: Using AI to Prevent Fraud"
Unit21's Trisha Kothari Participates in "AI and Security Standards: Maximizing Innovation while Minimizing Risk" mWise Panel
Unit21, the Risk and Compliance Infrastructure Company Helping Clients Prevent Financial Crime, Announces $45M Series C
Sneak peek of Unit21’s Fraud Fighters Manual, featuring Mercury’s Head of Risk Strategy & Analytics
Pinwheel Shares "Fraud Fighers Chapter 1: Know Your Fraudster" from the Fraud Fighters Manual
Treasury Prime Shares "All You Need to Know About Preventing Account Takeovers" from the Fraud Fighters Manual
Helix by Q2 Partners with Unit21 to Offer Comprehensive Fraud and Risk Management Solution for Fintechs
Unit21 Launches Fintech Fraud DAO to Combat Financial Crime With Brex, Chime and PrimeTrust as Early Customers
Unit21 Named to the 2022 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups
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Led the Identity and Risk product at Affirm; served as early engineer building core infrastructure systems.
Author of the O'Reilly book 'Machine Learning and Security' and Professor of Machine Learning at U.C. Berkeley.
Trisha was one of the early engineers at the online payments company, Affirm. She was involved in many of the original systems, including their general ledger and risk-related systems.
Clarence brought a deep background in machine learning and security. In fact, he wrote the O’Reilly book on that same topic, and is a lecturer at U.C. Berkeley on machine learning.
The two met at South Park Commons, a San Francisco-based community of builders, technologists, and domain-experts designed to foster great ideas and entrepreneurs. They bonded over a shared intuition that the fraud and anti-money laundering space was ripe for disruption, and set out to start a company.
They surveyed hundreds of experts in fraud and AML to validate their hypothesis and vision. Through those interviews, they met the Head of AML at eBay. When he heard what we they building, he invited them to participate in an RFP three weeks later. After Googling, “what is an rfp,” they worked night and day for the next three weeks to build out a fully functional prototype of their product.
Surprisingly, they ended up being one of the front-runners in the deal, largely due to the fact that their solution could involve any data in the detection of suspicious activity – not just transaction data – and the risk & compliance teams didn't need engineering to build or evolve their statistical models.
At that moment, they knew they were on to something, and founded Unit21 in July of 2018.
Unit21 is founded
Clarence authors and publishes the O’Reilly book, Machine Learning & Security
Clarence joins the faculty at U.C. Berkeley as lecturer on Applied Machine Learning
Unit21 raises $13 million in Series A funding, led by A. Capital Ventures and Gradient Ventures, Google’s AI venture fund
Unit21 raises an additional $34 million in Series B funding, led by Tiger Global Management
Unit21 breaks $100 billion in activity monitored on the platform
Unit21 hires its 100th employee; closes its second $1 million ARR customer