Tagged: ai-reliability
3 results
ActionAI
ActionAI is a New York- and Israel-based enterprise software company building reliability infrastructure for AI. Its platform lets companies build, run, evaluate and improve mission-critical AI workflows with a human in the loop, mapping data across the AI stack for granular testing and using an 'Explainable Exceptions' system to catch model errors before they cause damage. Founded by Stanford-trained engineer Miriam Haart, the company raised a $10M seed round in April 2026 to serve regulated sectors like finance, insurance, legal and logistics where accuracy is non-negotiable.
Scott Clark
Scott Clark is the Co-founder and CEO of Distributional, an enterprise AI testing platform that helps companies identify behavioral drift and unknown failures in AI systems. A triple-degree graduate of Oregon State University with a PhD in Applied Mathematics from Cornell, he co-founded and sold SigOpt (a Bayesian optimization platform backed by Y Combinator and a16z) to Intel in 2020, then led 200 engineers as VP & GM of AI/HPC Supercomputing at Intel before founding Distributional in September 2023. The company raised $30M in under a year, including a $19M Series A led by Two Sigma Ventures in October 2024.
ZeroEval
ZeroEval is a New York-based AI startup from Y Combinator's Summer 2025 batch building an auto-optimizer for AI agents. Founded by Jonathan Chavez and Sebastian Crossa - two friends who met in college in Mexico - the platform captures every interaction your AI agent makes, scores quality with custom LLM judges, and automatically turns real production data into better prompts. The result: agents that get smarter after launch without manual intervention. Trusted by DoorDash, Datadog, Hugging Face, and Harvard Medical School, ZeroEval closes what the founders call 'the last mile reliability gap' in agentic AI.