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Footprint is a prime example of vertical AI agents applied to high-stakes regulatory environments. While many agent companies focus on general productivity, Footprint’s 'Percy.ai' is a specialized agent designed for financial crime investigation and compliance. This makes them a key player in the agentic risk operations space, demonstrating how LLMs can be used to replace manual Level 1 reviews in KYC and AML workflows.
For the broader ecosystem, Footprint represents the 'Identity' component of the agent stack. As autonomous agents begin to perform financial transactions on behalf of humans, they will need a way to prove identity and maintain compliance without human intervention. Footprint’s zero-trust vaulting and generative onboarding UI provide the infrastructure for this type of secure, automated identity verification, making them relevant to anyone building autonomous financial systems.
Traditional financial infrastructure relies on a quiet, expensive secret: thousands of human workers at Business Process Outsourcing (BPO) firms who manually review flagged transactions and suspicious identities. When a bank flags a potential money laundering case, a human usually looks at a dashboard to decide its fate. Footprint is designed to eliminate this dependency by moving these 'Level 1' reviews into the hands of autonomous AI agents.
Founded in 2022 by Alex Grinman and Eli Wachs, the New York-based company builds what it calls an AI-native platform for risk operations. The core thesis is that identity verification (KYC) and business verification (KYB) shouldn't be static, friction-filled forms. Instead, they should be dynamic experiences that adapt to the user's risk profile in real-time. This manifests in two primary ways: a generative onboarding UI that changes based on session signals and an agentic investigation layer, internally referred to as Percy.ai, that handles the backend compliance work that previously required a person.
For most companies, Personably Identifiable Information (PII) is a liability. Storing social security numbers or passport scans increases the surface area for data breaches and regulatory fines. Footprint addresses this by acting as a zero-trust vault. When a company uses Footprint's five lines of code to verify a user, the sensitive data never actually touches the company's servers. It is encrypted via AES-256 and stored in Footprint’s secure environment.
This architecture allows for 'portable identity.' If a user is verified on one Footprint-powered platform, their credentials can theoretically follow them to another, reducing the need for repetitive form-filling. For businesses, this means they can offload the security risk of PII while still maintaining a verified user base. This approach places Footprint in direct competition with legacy KYC providers and modern orchestration platforms like Alloy, though Footprint leans more heavily into the developer experience and AI-driven automation rather than just workflow management.
Footprint occupies a space within the broader RegTech and cybersecurity sectors that has seen intense activity as deepfakes and synthetic identity fraud become more common. Traditional detection methods, which look for static markers of fraud, are increasingly outmatched by generative AI tools used by bad actors. Footprint’s response is to use the same technology—generative AI—to fight back, employing real-time risk scoring and biometric liveness checks during the onboarding process.
In May 2024, the company announced a $13 million Series A round led by QED Investors, with participation from Index Ventures and BoxGroup, bringing their total funding to roughly $26 million. Their client list includes fintech and infrastructure players like LoanPro, Nuvei, and Findigs. These customers use the platform to manage the full lifecycle of a user’s identity, from the initial biometric scan to ongoing AML (Anti-Money Laundering) watchlist monitoring. As regulators continue to scrutinize the fintech sector’s compliance standards, Footprint is betting that the only way to stay ahead is through a more automated, agent-centric approach to risk.
An identity and risk platform that automates onboarding and financial crime investigation using AI agents.
Graphite's CLI makes creating and submitting stacked changes easy.
Footprint android onboarding components in Kotlin
Wrapper around reqwest to allow for client middleware chains.
Android SDK for verify
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