Connecting scientific computation to scientific decision-making for life sciences R&D
Causaly and Microsoft bring scientific computation and scientific interpretation together in a single, evidence-grounded workflow. Together, we help R&D teams move from raw internal data to cited, defensible scientific decisions — setting a new standard for speed, rigor, and provenance in drug discovery and development.
Two platforms. One scientific workflow.
Microsoft Discovery brings enterprise-scale analytics, prediction, and simulation. Causaly brings knowledge-graph reasoning across internal and external scientific sources. Together, they move R&D teams from computational signal to cited, defensible decisions without leaving a governed environment.
“Microsoft Discovery is designed to accelerate science and unlock insights hidden in an organization's internal scientific data. But insights are only as valuable as the decisions they support.
Causaly provides the prior-knowledge intelligence to determine whether these insights are biologically meaningful and consistent with an organization's existing use cases and institutional knowledge. Microsoft Discovery can then support validation through advanced computing and integrations with laboratory automation systems. Together, we give biopharma R&D teams an end-to-end scientific workflow, from raw data to cited decision.”
- Aseem Datar, Corporate Vice President, Product Innovation, Microsoft Discovery & Quantum
Faster iteration, fewer blind spots
The joint workflow takes a Microsoft Discovery signal directly into Causaly's knowledge-graph reasoning, returning a cited, evidence-grounded decision artifact in a single governed loop.
Decisions that hold up under scrutiny
Every output carries full provenance: traceable evidence objects, explicit citations, and surfaced contradictions. Outputs stand up to internal governance committees, regulators, payers, and KOLs.
Internal and external evidence in one reasoning environment
Causaly's data fabric spans external biomedical evidence. Through private data integration, organizations can bring their own scientific memory — internal reports, historical program decisions, negative results — into the same reasoning environment.
Enterprise-grade from day one
The joint solution runs where your data already lives. Azure-native governance, tenant isolation, and IT-grade security let R&D and IT leadership deploy with confidence in regulated environments.
Microsoft Discovery
Microsoft Discovery is an R&D platform with capabilities spanning chemistry, biology and life sciences, silicon, and physics use cases. It operates over governed internal data estates and enables scientific teams to run workloads, predictions, and simulations where the data lives.
Causaly
Causaly is the leading agentic scientific decision platform, compounding the world's biomedical evidence with an organization's proprietary knowledge to accelerate time to market by powering confident decisions with evidence traceability and defensibility from discovery through launch.
“To answer this question in two seconds, it was just unbelievable - instead of us spending maybe 30 minutes or hour in the data.”
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