Confluence Labs
Confluence Labs is a YC Winter 2026 (W26) company. Based in San Francisco, CA, USA. Team of 2.
About Confluence Labs
Summary
Confluence Labs builds AI that designs experiments and extracts maximum signal from minimal data, targeting research domains where each data point is expensive to generate. The focus is drug discovery and materials science, where the number of experiments required to reach a breakthrough is the binding constraint. The product replaces brute-force experimental search with adaptive, sample-efficient AI that tells researchers which experiments to run next.
Go-to-market
Customers are research teams in pharma, materials science, and adjacent scientific fields where wet-lab or physical experiments carry high cost per data point.
From the Y Combinator listing
AI models that learn from experience
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.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Brent Burdick
- Niranjan Baskaran
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