Conway identifies coverage gaps in your detection system and autonomously writes new, backtested rules. Your rule set will dynamically adapt to time-sensitive attacks, even as your models degrade.
Schedule DemoEvery alert is autonomously investigated and tracked. Investigations improve in production, as the system learns from resolved cases. High-complexity cases are elevated to analysts with context.
Schedule DemoThe U.S. Treasury's FinCEN has proposed a rule to redesign AML/CFT regulations to prioritize outcomes over process.
Conway can find threats at every stage of the fraud lifecycle,
learning from every resolved case.
Conway's approach to real-time data processing generalizes,
reducing the time to build and deploy new detection systems.
We're engineers and operations from a range of disciplines, working to automate companies. If you're drawn to hard problems, we'd like to meet you. We're backed by Kleiner Perkins and First Round, and based in Jackson Square, San Francisco.