Footprint has raised $25 million in Series B funding to expand Percy, its agentic AI operating system for financial crime compliance, and Trust Fabric, the underlying infrastructure designed to turn individual investigations into reusable organizational knowledge.
The round was led by QED, with participation from MUFG, Commerce Ventures, LightBank, Alumni Ventures, Index Ventures, Lerer Hippeau, BoxGroup, Operator Partners and Animal Capital.
Footprint plans to use the financing to double both its engineering and sales organizations while increasing research and development around Percy and Trust Fabric.
The company is targeting an increasingly difficult problem for banks, fintech companies and other regulated financial institutions: the volume and sophistication of financial crime are rising faster than traditional compliance teams can reasonably investigate them.
Footprint said global illicit activity has increased by approximately $1.3 trillion since 2023 to $4.4 trillion, while financial institutions in the U.S. and Canada alone spend more than $60 billion annually on compliance.
At the same time, generative AI is giving criminals additional tools to create synthetic identities, shell companies and more sophisticated money laundering schemes at considerably greater scale.
Footprint argues that many financial crime teams are still attempting to counter those threats with workflows built around spreadsheets, PDFs and disconnected software systems.
The company is attempting to replace those processes with an AI-native architecture built around what it describes as two critical resources: time and memory.
Percy is Footprint’s agentic compliance system.
The platform is designed to learn an organization’s compliance program and execute workflows involving policies and procedures, customer verification and financial crime investigations.
It connects investigations with trusted information and vendors across know-your-customer, know-your-business and anti-money-laundering processes, allowing AI agents to research and evaluate cases while maintaining human oversight.
Trust Fabric serves as the infrastructure layer underneath Percy.
Rather than treating each investigation as an isolated case, Trust Fabric records the knowledge generated during the process so future investigations can reuse previous decisions, evidence and precedents.
For example, a precedent created by one investigator can become available across KYC, enhanced due diligence, sanctions screening and transaction monitoring.
Footprint said every stored memory maintains provenance, while its operating model follows an “agents propose, humans approve” structure designed to keep people responsible for consequential decisions.
The company believes this institutional memory can become more valuable over time because each completed investigation adds context that can inform subsequent cases.
Footprint has already reported significant reductions in investigation time for certain workflows.
Watchlist alerts that previously required approximately 30 minutes of analyst work can now be resolved in less than one minute, according to the company.
Enhanced due diligence investigations that previously took around three hours can now be completed in less than 15 minutes, while Footprint said its system collects approximately 35% more evidence during those investigations.
Footprint also described an example in which Percy identified a genuine sanctions match obscured by two Cyrillic transliterations of the same name, a connection that a previous human review had cleared.
Once detected, the finding was recorded in Trust Fabric so future investigations can benefit from the same knowledge.
The company sees that ability to preserve knowledge as particularly important for large financial institutions where hundreds of analysts may work across different financial crime functions.
Historically, much of the context behind compliance decisions remains with the individual analyst handling a particular case. Employees move teams or leave companies, and useful investigative knowledge can be difficult to transfer across departments.
Footprint’s architecture is designed to turn those individual judgments into governed institutional memory while maintaining an auditable record of how conclusions were reached.
The company is positioning Percy as an end-to-end operating system rather than simply another AI assistant layered onto existing compliance workflows.
Its longer-term thesis is that compliance teams will need autonomous agents capable of investigating every case rather than continuing to rely heavily on manual triage as suspicious activity volumes increase.
The $25 million Series B will allow Footprint to expand its technology and customer-facing teams as it attempts to build an AI-native defense layer for financial institutions facing increasingly automated and sophisticated financial crime.
