YC-backed US startup building AI-powered robotic lab automation; plain-English protocol input controls robotic arms for scientific research workflows.
Zeon Systems is a US-based AI robotics startup founded in 2025 by Tahir D'Mello and Brontë Kolar and headquartered in San Francisco, California. The company focuses on automating scientific laboratory workflows by combining natural language AI with robotic arms, enabling researchers to describe experiments in plain English without writing specialized code. Zeon Systems was accepted into Y Combinator and has raised $4.4 million in funding from investors including Y Combinator, FCVC, and A* Capital.
The company's platform translates natural language experiment descriptions into executable code that runs on robotic arms deployed inside laboratory environments. Zeon's robots are designed to be lab-aware, meaning they can detect available equipment, adapt to existing protocols, and navigate autonomously between instruments to complete full experimental workflows without human intervention. This approach is intended to free scientists from repetitive and time-consuming bench work so they can concentrate on higher-level discovery tasks.
Zeon Systems has established early partnerships with research laboratories at Stanford University and the University of California, San Francisco, where its robots have been used for tasks including overnight nanoparticle fluorescence measurements and the safe disposal of large volumes of bacterial samples. The company positions its technology to address the broad market of scientific and industrial laboratory automation, targeting environments where repetitive liquid handling, sample processing, and instrument operation represent significant bottlenecks to research throughput.
Primary type & automation activities this supplier delivers:
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WEBSITE
https://www.zeonsystems.aiHEADQUARTERS
United States
Company Facts
Founded
2025
Primary Role
Software/Algorithm
Company Size
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Primary Region
North America
Annual Sales
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Funding Stage
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Funding Total
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