Microsoft has introduced a groundbreaking enterprise agentic platform, Microsoft Discovery, to revolutionize research and development (R&D) at Microsoft Build 2025. The platform aims to empower scientists and engineers with AI capabilities to enhance the entire discovery process, from knowledge reasoning to experimental simulation. Microsoft Discovery enables researchers to collaborate with specialized AI agents and a graph-based knowledge engine to drive scientific outcomes efficiently.
Microsoft Discovery is designed to be highly extensible, allowing researchers to integrate the latest Microsoft innovations with their own models, tools, and datasets, as well as partner and open-source solutions. Built on Microsoft Azure, the platform emphasizes trust, compliance, transparency, and governance to facilitate responsible innovation while keeping researchers in control. This approach has already yielded significant results, such as the rapid discovery of a novel coolant prototype for data center cooling, showcasing the platform’s potential to transform R&D processes across industries.
R&D poses unique challenges due to the vast and dynamic nature of scientific knowledge, the diversity of the discovery process, and the iterative nature of research. To address these challenges, Microsoft envisions a new agentic R&D paradigm where researchers can collaborate with intelligent AI agents to accelerate innovation. This paradigm involves embedding AI at every stage of the scientific method, enabling real-time collaboration between researchers and AI agents in a continuous cycle of discovery.
Microsoft Discovery leverages a graph-based knowledge engine to facilitate contextual reasoning and transparent decision-making. Instead of providing standalone answers, the platform builds nuanced relationships between data points, enabling researchers to understand conflicting theories and diverse experimental results. Moreover, Microsoft Discovery employs specialized AI agents that work collaboratively with researchers in an iterative R&D cycle, adapting and learning over time to enhance research outcomes.
One of the key features of Microsoft Discovery is Microsoft Copilot, a scientific AI assistant that orchestrates specialized agents based on researchers’ input. Copilot streamlines workflows, combining advanced AI and high-performance computing simulations to drive the discovery process effectively. The platform is enterprise-ready, built on Azure infrastructure, and supports extensibility by allowing R&D teams to integrate custom tools and models to meet their research requirements.
Real-world impact has already been demonstrated through collaborations with organizations like the Pacific Northwest National Laboratory and Unilever, where Microsoft Discovery has accelerated scientific discoveries and simulations. The platform’s capabilities have enabled the discovery of novel materials and streamlined research processes, showcasing the potential of AI in transforming R&D across various industries.
Microsoft is also collaborating with leading industry partners, including GSK, The Estée Lauder Companies, NVIDIA, Synopsys, and PhysicsX, to integrate their domain-specific solutions into Microsoft Discovery. These partnerships aim to accelerate breakthroughs in materials science, life sciences, semiconductor engineering, and more, leveraging the platform’s advanced AI capabilities and industry expertise.
Overall, Microsoft Discovery represents a significant advancement in AI-driven R&D, offering a comprehensive platform for researchers to collaborate with intelligent AI agents, accelerate innovation, and drive impactful discoveries across diverse domains. By fostering a strong ecosystem of customers, partners, and industry experts, Microsoft aims to unlock the full potential of AI in research and development, ushering in a new era of scientific discovery and technological innovation.
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