Opentrons Labworks, a laboratory robotics company, is teaming with Nvidia to accelerate the development and deployment of physical AI-enabled laboratory robotics. The integration leverages Nvidia Isaac and Cosmos platforms to generate training data for physical AI models tailored to lab environments. Opentrons brings a global fleet of over 10,000 deployed robotic systems across leading research universities and biopharma companies, plus deep experimental expertise spanning its own platforms and third-party instruments.
Key takeaways
- Nvidia BioNeMo provides the foundation for training AI models in biological discovery, while Opentrons supplies the standardized physical execution layer to close the loop between digital design and experimental validation.
- By standardizing experimental execution and generating high-quality training data from real lab operations, Opentrons enables AI systems to continuously learn from wet-lab results, addressing the bottleneck of experimental execution in drug discovery.
- Opentrons' systems are deployed across every top-20 US research university and 14 of the top 15 global biopharma companies, forming the world's largest standardized network of lab automation.
The partnership will be presented at the SLAS International Conference and Exhibition, February 9-11, 2026, in Boston, with a joint session exploring AI-driven planning and robotic execution convergence. Scientists can sign up for a program to contribute real experimental execution data to train AI systems for science.
Source: Robotics & Automation News (roboticsandautomationnews.com) · Published 2026-02-06 · “Opentrons accelerates enablement of AI-based laboratory robotics with Nvidia”