DuPont partners with Microsoft and NobleAI on artificial intelligence for research and development – ​​Unite.AI

DuPont announced on November 12, 2026, a research collaboration with Microsoft and NobleAI that will expand access to artificial intelligence and machine learning tools for its scientists and engineers, with the goal of reducing the time it takes to deliver solutions to customers.

Each company contributes a different component. DuPont provides expertise in advanced solutions and applications; NobleAI provides science-based AI models through its VIP (Visualizations, Insights and Predictions) platform; and Microsoft contributes Discovery, its enterprise AI platform for research and development. DuPont’s stated goal is to help teams evaluate potential solutions more quickly, guide experiments, and accelerate learning cycles.

How AI tools divide up research work

The proposed workflow separates research orchestration from scientific modeling. Aseem Datar, Microsoft corporate vice president of product innovation for Microsoft Discovery & Quantum, described Discovery as an agent environment that connects data, models and know-how from R&D teams for scientific discovery. NobleAI CEO Alex Wang split the software’s roles between Discovery’s search planning and orchestration and VIP’s predictive and optimization modeling.

Wang described a workflow in which DuPont teams would use existing data, expertise and processes to explore more ideas in silico, that is, through computer simulation, before focusing physical testing on candidates worth pursuing. This sequence puts AI at the forefront of candidate selection: models help narrow down options, while physical testing remains part of development rather than being replaced by simulation.

NobleAI’s modeling approach is designed for situations where industrial data is limited. The announcement describes science-based AI as the integration of scientific principles throughout the modeling workflow, VIP as the transformation of limited industrial data into predictive models, and NobleAI as an early launch partner of Microsoft Discovery. This report brings the modeling approach into the workflows of industrial R&D agents.

Governance and expansion beyond individual laboratories

DuPont is linking technical work to an enterprise-wide AI implementation model. Chief Information Officer Matt Abbott said, “This collaboration reflects how we are scaling artificial intelligence at DuPont, with security and governance designed from the ground up, so that what results in one lab can be put into practice across the company.”

This approach views a positive laboratory result as a candidate for broader use, with safety and governance being part of the implementation design. Marty DeGroot, Chief Technology Officer, said the combined tools should accelerate development, reduce time to market and expand the impact of innovation across DuPont’s portfolio. DuPont serves the healthcare, water, construction and industrial markets, giving that portfolio-level ambition broad potential.

The practical test is whether this combination can shorten development cycles while producing results that hold up outside the initial lab. If so, the governance model Abbott describes would provide a path to transform a successful local workflow into a broader R&D capability across DuPont’s portfolio.