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Microsoft Discovery is an extensible platform that brings together agentic orchestration, advanced reasoning, a graph-based knowledge foundation, and high-performance computing.
It helps drive the three principles for effective agentic discovery - enabling agent empowerment, discovery loop automation, and quality at scale. Because it's built on Azure’s enterprise cloud infrastructure, Microsoft Discovery is designed to operate within the security, compliance, transparency, and governance frameworks used to manage sensitive real‑world R&D environments.
Discovery agents are equipped with a broad range of digital, physical, and analytical tools used across R&D. This includes in‑silico experimentation environments such as High Performance Computing (HPC) clusters, specialized Large Quantitative Models (LQMs) and agents, and potential future integration with quantum capabilities as they become applicable to commercial R&D. It also allows integration with physical labs, facilitating the lab procedure generation and even direct operation with robotics, lab instrumentation, and IoT‑enabled devices that agents can operate under human oversight.
At the heart of Microsoft Discovery is the Discovery Engine, our cognitive orchestrator, which mimics the scientific method where specialized agents reason over large amounts of knowledge, generates hypotheses, and validate them in a complex tree across a vast search space. The Discovery Engine connects proprietary research data with external scientific literature - not solely to retrieve isolated facts but to reason across conflicting theories, experimental results, and domain-specific assumptions in a way that reflects how science actually works. This contextual depth is what separates Microsoft Discovery from general-purpose AI tools and enables the platform to function as a genuine thinking partner across the full arc of a research program. The outcomes of the Discovery Engine are designed to be explainable and to be stored in a long-term memory knowledge graph, so knowledge generated in the discovery loop can be reused for future iterations or across the organization.
Built-in governance controls help ensure that agent‑driven research remains aligned with strategic priorities, security and compliance standards, and safety requirements. These systems provide centralized management, audit trails, and checkpoints that help maintain reliability as agentic throughput grows. The platform is extensible by design, which enables integration with existing business tools and assets, partner solutions, and open-source models. Integration with Microsoft 365, Microsoft Foundry, and Microsoft Fabric enables organizations to interoperate across business agents, enterprise data, and institutional knowledge.
Microsoft Discovery is available in two complementary experiences: the enterprise cloud service (called Microsoft Discovery) and a standalone desktop application (called the Microsoft Discovery app). Both serve the same core purpose of accelerating scientific discovery, share core concepts, and are built on the same APIs.
Who is it for?
Microsoft Discovery is designed to support the full discovery journey—from scientific insight to enterprise-scale execution. The platform brings together researchers, builders, operators, and leaders around a shared, intelligent discovery environment.
1. Scientists, Researchers, and Engineers
Who they are
Scientists, researchers, and engineers working across chemistry, materials science, biology, life sciences, physics, and engineering.
What they care about
- Exploring new hypotheses and ideas faster
- Understanding complex scientific landscapes
- Combining internal research with external scientific knowledge
- Focusing on scientific judgment, not tooling complexity
How Microsoft Discovery helps
- Uses natural language to explore ideas, data, and literature
- Acts as a scientific reasoning partner that can generate and test hypotheses
- Connects simulations, models, and prior research into a single workspace
- Provides explainable results that scientists can trust
Outcome
Microsoft Discovery can help researchers move from questions to insights in hours instead of weeks, with confidence in how conclusions were reached.
2. Experimental / Bench Scientist
Who they are
Lab‑based scientists who design, run, and interpret physical experiments.
What they care about
- Knowing which experiments to run next
- Reducing trial‑and‑error in the lab
- Interpreting computational results in experimental terms
- Making better use of limited lab time and resources
How Microsoft Discovery helps
- Recommends experiment paths based on simulations and prior results
- Connects lab data with computational predictions
- Helps prioritize the most promising experiments
- Supports collaboration between computational and wet‑lab teams
Outcome
Fewer experiments, better experiments—and clearer guidance on what to do next.
3. Scientific Developer / Computational Engineer
Who they are
Developers and computational experts who build models, pipelines, simulations, and scientific workflows.
What they care about
- Running complex workflows reliably at scale
- Integrating custom tools, models, and data sources
- Reducing time spent on orchestration and infrastructure
- Enabling scientists without rebuilding systems for each project
How Microsoft Discovery helps
- Orchestrates complex tasks across models, tools, and compute resources
- Integrates with high‑performance computing and cloud services
- Supports extensibility for custom scientific tools and agents
- Provides a shared execution and reasoning layer across teams
Outcome
Less time building one‑off pipelines, more time advancing scientific capabilities.
4. Platform Owner / R&D Technology Lead
Who they are
Leaders responsible for R&D platforms, digital transformation, or AI enablement.
What they care about
- Secure use of enterprise data and intellectual property
- Consistent discovery workflows across teams
- Governance, auditability, and compliance
- Scaling from pilots to organization‑wide impact
How Microsoft Discovery helps
- Enterprise‑grade security, compliance, and governance
- Central management of models, agents, tools, and access
- Long‑lived knowledge capture so discoveries compound over time
- Integration with existing enterprise systems and workflows
Outcome
A trustworthy, scalable foundation for agent‑driven research across the organization.
5. IT Admin / Azure Platform Administrator
Who they are
IT professionals responsible for provisioning, securing, and operating Microsoft Discovery on Azure.
What they care about
- Secure deployment within enterprise Azure environments
- Network isolation, identity, and access control
- Compliance with organizational security policies
- Operational stability and cost visibility
How Microsoft Discovery helps
- Deploys using Azure‑native services and patterns
- Integrates with Azure networking, identity (Microsoft Entra ID), and Identity and Access Management (IAM)
- Supports private networking, managed identities, and role‑based access
- Fits into existing Azure governance, security, and monitoring practices
Outcome
Discovery can be deployed and managed using familiar Azure tools—without introducing shadow IT or security exceptions.
6. R&D and Business Leadership
Who they are
R&D executives, innovation leaders, and business sponsors.
What they care about
- Faster time to insight and time to market
- Confidence in AI‑assisted discovery decisions
- Visibility into how research decisions are made
- Alignment with business strategy and regulatory requirements
How Microsoft Discovery helps
- Makes discovery processes explainable and insertable
- Captures institutional knowledge for reuse and learning
- Ensures AI‑driven research stays aligned with enterprise goals
- Transforms discovery from isolated efforts into a repeatable capability
Outcome
A measurable acceleration of innovation—without sacrificing trust, safety, or governance.
Summary
Microsoft Discovery brings together:
- Scientists who generate insight
- Developers who build and extend capabilities
- Admins and IT teams who operate the platform securely
- Leaders who drive outcomes at scale
All within a single, enterprise‑ready discovery platform.