Robust Intelligence builds tooling to eliminate AI mistakes by continuously stress testing models. Its core product, the Robust Intelligence Model Engine (RIME), wraps around customer models with an AI firewall that predicts whether a datapoint will cause a wrong prediction. The platform runs automated stress tests both before models go into production and while they are in production to find failure modes and catch issues like data drift. The company emphasizes rigorous, software-style practices for AI reliability. Robust Intelligence was co-founded by Yaron Singer, a tenured Harvard professor of Computer Science and Applied Mathematics, and his former student Kojin Oshiba. The company recently raised new capital and plans to use proceeds to scale sales while directing the majority of the funding to product and engineering. Robust Intelligence builds products that defend operational AI systems and enable developers to deploy AI models in a secure manner. Its tools integrate into the AI development life cycle to ensure robustness and reliability. The company says it pursues the secure deployment of artificial intelligence and highlights the systemic risks present in current AI development practices. Robust Intelligence emerged from stealth and announced $14M in Seed and Series A funding. The company was started about a year ago and is based in San Francisco, CA.

Total raised

$44M

Funding rounds

3

Latest round

Series B

Latest activity

Dec 2021