Footprint Raises $25M for Financial-Crime AI
Footprint has raised a $25 million Series B to expand Percy, an AI system that investigates financial-crime alerts while producing auditable evidence trails.
Banks and fintechs generate enormous numbers of alerts for suspicious transactions, identity risks and compliance issues. Footprint has raised $25 million to automate more of the investigation that follows.
What happened
The Series B was led by QED Investors, with MUFG, Commerce Ventures, LightBank, Alumni Ventures and existing investors participating.
Footprint's Percy AI system investigates financial-crime alerts, follows compliance procedures and produces audit trails with citations and timestamps showing how conclusions were reached.
Why it matters
Compliance teams often spend large amounts of time reviewing false positives and collecting evidence across disconnected systems.
AI agents can potentially handle the repetitive investigative work while escalating ambiguous cases to humans. But because regulators need to understand how decisions were made, traceability is essential.
The bigger picture
Regulated workflows may become one of the strongest early markets for enterprise agents precisely because the tasks are repetitive and expensive.
Footprint is combining automation with an evidentiary layer rather than treating compliance as a generic chatbot problem. If that approach proves reliable, financial institutions could shift significant portions of AML and KYC operations from manual case handling toward supervised AI execution.