Interpretable and Auditable AI Systems
We are building a new class of interpretable AI systems and foundation models that humans can reliably debug, trust, and understand.
Introducing Clarity
June 03, 2026
Understand which part of the prompt is responsible for the output.
About Our Team
20+
YEARS OF EXPERIENCE
on interpretable machine learning with PhDs from MIT, UMD, & MILA.
24+
RESEARCH PAPERS
on interpretability published at top ML conferences
Developed the first
interpretable generative diffusion model & LLM
Backed by leading investors
