Danaher, Nvidia Combine Lab Instrumentation and AI to Advance Autonomous Science

Danaher and Nvidia have announced a collaboration aimed at advancing autonomous science through the integration of Danaher's scientific instrumentation and Nvidia's AI technologies. The partnership, described as part of broader efforts to shape the future of AI-enabled science, seeks to combine Danaher's automation technologies, laboratory workflow software, and domain expertise with Nvidia's accelerated computing and AI capabilities.

This collaboration aims to facilitate a learning cycle where experiments inform models, and models help design better experiments, thereby accelerating the transition from prediction to experimental evidence.

Currently, Danaher and Nvidia are focusing on integrating AI into scientific instruments through edge computing, accelerated analytics and data processing, real-time inference, scientific reasoning, and foundation model technologies, including BioNeMo Open Models. The initial efforts are concentrated on a select group of priority instruments, with the potential for expansion across a broader portfolio in the future.

Julie Sawyer Montgomery, Danaher's president and CEO, emphasized the collaboration's shared vision for more connected, adaptive, and accessible innovation, highlighting the potential to help researchers solve consequential challenges and translate discoveries into human impact. Kimberly Powell, Nvidia's vice president of healthcare, noted that the partnership brings together accelerated computing and physical AI in the lab, connecting models with instruments and real experimental data to enhance the discovery process.

This collaboration comes in the wake of Danaher's recent launch of its first AI-powered autonomous lab, which aims to accelerate the development of custom antibodies and other molecular tools. The lab combines AI, robotics, and various technologies from several Danaher operating companies into a single, connected workflow. Danaher views the lab as part of a broader internal program to build a fleet of smart instruments that are easier to integrate and control programmatically, featuring agentic systems designed to streamline operations, improve data quality, and generate deeper insights.