"A workforce of AI agents that replace outsourced AML and KYC analysts"
Greenlite helps fintechs unlock growth with an AI compliance team.
Founded by Will Lawrence & Alex Jin. Will led product teams working on Facebook's anti-money laundering (AML) platform, combating financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally.
Alex was an engineer and product manager at Dropbox. He was the first employee at Flixed where he led product development and built a programmatic content engine.
Together, they're excited to help fintech compliance teams unlock unprecedented growth with AI.
Fintech compliance teams spend millions of dollars on manual anti-money laundering (AML) and know-your-customer (KYC) reviews. To support customer growth, fintechs turn to outsourced analysts or consultants to complete these reviews. The workflows assigned to outsourced teams are routine, clearly-defined and require risk-based decisions to be escalated to a full-time employee (FTE).
Managing outsourced analysts is painful and expensive. Training takes months, quality assurance is a challenge and any additional tooling/automation needs to be built by your internal engineering teams.
Critically, the productivity of these AML teams are low. McKinsey estimated that as little as 15% of an AML investigator’s time is spent actually investigating. Manual processes, administrative tasks and limited working hours leave backlogs to grow, increasing risks of a major fine.
Greenlite’s AI agents learn your alert review process and work 24/7 to complete entry-level KYC and AML tasks.
They pair language models and 200+ data sources to action false positives, investigate high-risk customers and create audit-ready narratives.
Suspicious activity is escalated to your FTEs, allowing you to be in control of risk based decisions.