When explainability, reaction speed, and human control are essential, the rules engine has long been engineers' tool of choice. However legacy engines required trading ease-of-use for performance, and managing rules in code
At Sliderule, we’re passionate about building the modern no-code rules engine, to empower risk teams and liberate engineers from their rule support work.
Our customers use us for mission-critical decisioning logic to fight financial crime, reduce fraud, and make smart risk decisions about their customers. You’ll often find us working side-by-side with machine learning models, integrating their signals directly into our rules.
Our team comes from Palantir, Checkr, Amazon, Flexport, Doordash and Stanford. We’ve seen first-hand the gap in the risk toolkit between manual process, internal tools, and black-box machine learning models. And we're building the engine to empower risk teams with that experience in mind.
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