In a world of growing distrust, businesses face the mounting challenge of discerning real users from fake ones. Malicious bots and AI already make up 30% of online traffic; and for some of our customers, they comprise 80%+ of accounts created. With the recent onset of generative AI, this number will only continue to rise.
Over the years, our team has seen this problem first-hand. Our Chief Product Officer, Raine Scott, fought fake users when he ran product & fraud at Ahead Financial (exited). While there, he noticed that existing offerings are designed for companies with large, experienced fraud teams and require months of integration and data science work. Similarly, as the Director of Strategy at leading identity & fraud provider Neustar (acq. by TransUnion), I observed that existing solutions were too expensive, complex, and myopic to serve companies without existing fraud expertise.
This leaves a gap in the market, as nearly every business that interacts with consumers - not just large enterprises - needs to ensure its users are real, unique, and trusted. As Nico Vereecke, our lead Investor at Bitkraft observed: