1. Browser Agents for the Invisible Web
Most financial crime data isn’t accessible via APIs – it lives in legacy systems, government portals, and third-party platforms. We’re building agents that navigate these systems like humans do: clicking, scrolling, interpreting unstructured data, and adapting to interface changes. This requires computer vision, DOM understanding, and robust error handling at scale.
Risk doesn’t stop at borders, and neither can we. Our agents operate across languages and regulations, reconciling entities hidden behind shell structures and mismatched disclosures. Each check enriches a single, evolving graph of people, companies, and signals — a global risk intelligence network that never forgets.
3. Decisions at the Speed of Money
Payments don’t wait for compliance. We process risk signals at the same speed money moves – millions of transactions, thousands of entities, sub-second decisions. Doing this right on AWS means distributed inference, caching, queue orchestration, and self-healing data pipelines.
4. Deep Research without Hallucinations
Out-of-the-box deep research agents easily confuse entities that look similar. ChatGPT isn’t going to be able to tell us whether John Smith is a terrorist. We’re building our own deep research pipeline to ensure LLMs don’t mix up facts from different people/companies.