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Greenlite

AI agents for financial compliance operations

Greenlite builds AI workers for bank and fintech compliance teams. Innovative teams use our AI workers instead of outsourced teams to onboard customers faster with higher compliance standards.

Jobs at Greenlite

San Francisco, CA, US
$120K - $200K
3+ years
San Francisco, CA, US
$160 - $260
0.10% - 0.25%
3+ years
Greenlite
Founded:2023
Team Size:6
Location:San Francisco
Group Partner:Tom Blomfield

Active Founders

Will Lawrence, Founder

Will led product for Facebook's anti-money laundering (AML) platform, combatting 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. He's now Co-founder and CEO of Greenlite, helping fintechs scale financial crime operations with AI.

Will Lawrence
Will Lawrence
Greenlite

Alex Jin, Founder

Formerly a product manager and iOS engineer on Dropbox growth and monetization teams. First employee at Flixed where I led product development and built a programmatic content engine. Co-founder of Greenlite.

Company Launches

TL;DR
Greenlite helps fintechs unlock growth with an AI compliance team.

Our workforce of AI agents tirelessly handle routine AML and KYC tasks, allowing your team to focus on higher-leverage work.

If you’re a fintech or compliance leader, get in touch at founders@greenlite.ai.

Problem

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.

Solution

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.

Here’s how it works

Choose where you need staff augmentation

Greenlite supports three agent archetypes (with more to come). Each one can learn your company’s specific workflows to handle routine cases.

Add your policy, data sources and fuzziness thresholds

Upload your workflow policy, define the data sources that are needed for this job and determine the fuzziness threshold you’re comfortable with.

Review escalated cases

Agents will escalate cases that require a risk based decision. Importantly, your FTEs get an enriched case, complete with entity investigation details, data analysis and open-source intelligence to make high quality decisions more efficiently.

Schedule a demo here to see how Greenlite can help you scale your compliance operations with AI instead of outsourced teams.

Benefits of Greenlite:

  1. Higher quality, transparency and control of reviews: give your team better visibility and control of your AML operations.
  2. Dramatic savings: using automated systems instead of human-reviewers will unlock capacity for strategic priorities.
  3. Unblock growth: with near-instant compliance capacity, your team can focus on higher-priority initiatives, like license applications, complex investigations and scaling core systems.

Who are we?

We’re Alex and Will.

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, we’re excited to help fintech compliance teams unlock unprecedented growth with AI.

Looking to connect with fintech compliance teams!

We’re happy to help fintech compliance teams define their AI strategy. Get in touch at founders@greenlite.ai.