Footprint Secured $25 Million in Series B Funding

The financial crime compliance startup plans to double its staff and open a new San Francisco office.

Updated on Sept. 21, 2026 in Startups

Bold flat-color editorial illustration showing a symbolic architectural bridge structure, representing secure financial data infrastructure and compliance systems.
Footprint has raised $25 million in a Series B funding round led by QED Investors to expand its automated financial crime compliance software. AI Illustration. Upload story photo >

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Footprint has raised $25 million in a Series B funding round led by QED Investors. The capital will support the company's expansion, including doubling engineering and sales headcount and establishing a new office in San Francisco.

Why it matters

As banks and FinTechs face increasing pressure to automate regulatory compliance, Footprint's ability to link disparate data signals positions it to capture more of the financial infrastructure market. This funding enables the company to scale its technical team to meet the demands of enterprise clients like Bilt and Nuvei.

Footprint utilizes AI to automate financial crime investigations, integrating with data providers such as LexisNexis and ComplyAdvantage. Its core architecture includes Percy, an AI engine for procedural case investigation, and Trust Fabric, which connects signals across different customers and cases to maintain organizational memory.

The players

Footprint

A startup developing AI-driven financial crime compliance systems for banks and FinTech companies.

QED Investors

A venture capital firm focused on the financial services and FinTech sectors that led the current funding round.

The details

Footprint provides AI systems for financial crime compliance, helping institutions verify identities and monitor transactions. Its Percy engine automates the manual investigative steps typical of compliance workflows, while the Trust Fabric platform synthesizes information from various data sources to create a shared organizational intelligence. By linking these signals, the software aims to reduce the false positives that often plague automated fraud detection systems.

Timeline

  1. September 21, 2026: Article publication date.

The Tech Race

The startup is scaling its platform to compete against incumbents in the crowded financial crime compliance space. It aims to differentiate its offering by focusing on institutional memory that persists across the fragmented ecosystem of FinTechs and traditional banks.

FinTech and banking users may notice faster compliance check times as the company scales its engineering and sales operations. The expansion into San Francisco is expected to be completed in the coming months, though specific hiring dates for the new office were not announced.

The takeaway

Footprint is betting that its Trust Fabric architecture can provide a significant advantage in accuracy and efficiency over legacy compliance software. Investors should track the company's progress on hiring goals to gauge how quickly it can deploy its technology to new enterprise clients.

Further reading

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Do you trust AI systems to accurately manage your sensitive financial and personal data?

Footprint Secured $25 Million in Series B Funding