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Details
- Microsoft introduced Discovery, a new enterprise AI platform revealed at Build 2025, designed to boost R&D productivity with agentic AI and a graph-based knowledge engine.
- The system utilizes Azure infrastructure to integrate high-performance computing, customizable AI agents for hypothesis generation and experimental design, and supports iterative learning workflows.
- Discovery enabled the rapid creation of a PFAS-free datacenter coolant prototype in just 200 hours, significantly reducing traditional R&D timelines.
- It addresses key industry issues, including high failure rates in AI-driven material discoveries, as highlighted by previous challenges from Google’s GNoME project.
- The platform’s extensibility allows for integration with open-source tools and proprietary models, targeting collaborative R&D across sectors such as pharma, energy, and manufacturing.
Impact
Microsoft Discovery enters a competitive landscape alongside Google’s AI Co-Scientist and Anthropic’s research solutions, aiming to capture a share of the vast enterprise R&D market. Its robust Azure backbone appeals to enterprise clients seeking secure, scalable AI tools. The platform’s ability to cut development times and support critical industry partnerships could accelerate innovation and drive wider enterprise AI adoption.
