Microsoft has announced the general availability of Microsoft Discovery, a platform designed to support the development and governance of agentic AI workflows in scientific and engineering research. The platform enables organizations to define workflows around their R&D programs and coordinate specialized agents across modeling, simulation, and analysis tools. Microsoft Discovery is intended to integrate with existing R&D environments rather than replace them, emphasizing reproducibility, reviewability, and governance. The release marks a significant milestone in making advanced AI capabilities accessible for complex research and development workflows. Source: azureai
Microsoft is also introducing the Microsoft Discovery app in preview, a localized desktop experience that allows researchers, students, and scientific teams to begin using the platform without an enterprise deployment. The app is available for download on GitHub and requires a GitHub Copilot account to get started. It is designed to lower the barrier to entry for hands-on exploration, enabling users to engage with literature, generate hypotheses, and conduct iterative experiments. As projects evolve, researchers can transition their local work into the Microsoft Discovery platform for more advanced R&D support. Source: azureai
During the preview phase, organizations provided feedback on how they were using Microsoft Discovery to explore advanced R&D workflows grounded in domain-specific data and expert review. Partners are contributing domain expertise to help organizations adapt the platform to their existing tools, data, and processes. This collaboration offers an early view into how Microsoft Discovery is being applied across different domains and how an expanding ecosystem can enhance the systematic, transparent, and repeatable nature of complex R&D workflows. Source: azureai
