Counterfact keeps the developer in control.
Counterfact uses causal and counterfactual analysis to help teams building AI agents understand why an agent behaves as it does. It lets developers build, understand, and change their system quickly and deliberately.
Arya Tafvizi
Arya has 15 years of experience in machine learning, focused on the architecture and control of large-scale AI systems. Most recently, at Google DeepMind, he built AI systems and agents for Gemini. Before that he spent seven years at Google Search, building the machine learning infrastructure that powers ranking for billions of users.
He studied Physics and Computer Science at MIT, and Mathematics under Steven Koonin at NYU's Courant Institute. Outside of work, he is an experienced aviator across powered aircraft, paragliding, and skydiving.
Backed by industry leaders
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Jerry Dischler- Partner at Angular Ventures
- Former President of Cloud Applications at Google
- Former Vice President of Ads at Google
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Amit Singhal- Former Senior Vice President of Search at Google
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Sridhar Ramaswamy- CEO of Snowflake
- Former Senior Vice President of Ads at Google
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Anahita Tafvizi- Chief Data & AI Officer at Snowflake
- Chief AI Officer Operating Partner at Lightspeed Ventures
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Guido Imbens- Nobel Laureate for his contributions to causal inference
- Professor of Economics at Stanford University
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Oliver Heckmann- Former Chief Technology Officer at Superhuman
- Former Vice President of Engineering at Google
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Vahab Mirrokni- Google Fellow
- Vice President of Research at Google DeepMind
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Sunil Kosalge- Former Vice President of Engineering in Ads at Meta
- Former Vice President of Engineering in Ads at Google