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Confluence Labs

Active

AI models that learn from experience

Winter 2026Founded 20252 peopleSan Francisco, CA, USA
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AI insightcan contain mistakes
Experimental Design AISaaSPharma, materials science, research labsLow competition
Moat
AI designs high-impact experiments in data-sparse domains; learning from experiments creates proprietary insights.
Key risk
Biotech budgets volatile; competing against chemistry/physics specialists and in-house tools; adoption timeline long.
Why now
Experimental costs high; data sparse in discovery; AI agents capable of experimental design and learning.
Competitors
Schrödinger, Recursion, academic research platforms
↻ Pivot / rename signal

This company has previously operated under Vector Labs, Confluence Labs, Vector Labs. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.

About

While modern AI excels in any area you can collect a lot of data for, it struggles in areas where data is sparse or costly to attain. Designing new molecules, discovering new physics, and engineering new materials are all domains where collecting data is extremely costly. We dream of a world where AI accelerates research in all of these domains and creates a more abundant future for humanity, but the current technology is not there. That’s why we started Confluence Labs. We are building AI that can design highly effective experiments in data-sparse domains and learn maximally from the data it already has.

Founders · 2

Brent Burdick
Brent BurdickFounder

23 yr old college drop out and self-taught engineer and researcher.

Niranjan Baskaran
Niranjan BaskaranFounder
Dartmouth

20 yrs old. Born in India. Won awards for my math research at ISEF. Got a full-ride to college in the US. Dropped out of Dartmouth to start an AI research lab.

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