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Only Causaly combines advanced agentic AI, precision knowledge graphs, and workflow automation to accelerate R&D productivity and decision-making at scale.
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Agentic AI platform that combines advanced agentic AI, precision knowledge graphs, and wor · Biomedical knowledge graph with 500 million facts and 70 million directional relationships · Bio Graph API offers programmatic access to Causaly's biomedical knowledge graph for popul · Biomedical knowledge graph containing 500 million reliable facts.
Only Causaly combines advanced agentic AI, precision knowledge graphs, and workflow automation to accelerate R&D productivity and decision-making at scale.
Life sciences enterprises and R&D teams (scientists, data scientists, bioinformaticians, A · Adopted by the world's top 50 life sciences organizations for research and development. · Life sciences R&D teams (clinical, commercial, regulatory, medical affairs)
Causaly for R&D, AI, and IT teams Causaly brings together millions of data sources, including preclinical, clinical, preprints, and customers' internal information and makes it useful throughout the R&D process.
Identify and prioritize targets, discover novel indications, and validate evidence for reg · Accelerating clinical evidence validation for FDA label update submissions · Drug discovery target selection in partnership with Microsoft · Automates the source-cited evidence layer behind the Target Product Profile (TPP) across c
Supporting the full R&D pipeline From early research, through clinical development, to post-market - life sciences enterprises choose Causaly to execute, automate, and accelerate vital scientific workflows and use cases that are key to success.
Ingests PubMed scientific preprints/full-text/abstracts, genome-wide association studies, · Private Data Fabric embeds, structures, and characterizes customers' proprietary internal · Ingestion via API and connectors to Microsoft Azure, Google Cloud, and AWS, plus custom co
Over 35 million scientific preprint, full-text, and abstract documents from PubMed Genome-wide association studies Patent filings Clinicaltrials.gov data Proprietary customer information, secured in a virtual private cloud
Enterprise deployment with proprietary customer data secured in a virtual private cloud vi · Technology stack is open, modular, flexible, and extensible, allowing LLMs and components · Virtual private cloud architecture for each customer's secure instance; runs inside the cu
Proprietary customer information, secured in a virtual private cloud
Governance features include centralized testing and tuning of the AI stack to meet enterpr
Meet governance requirements through centralized testing and tuning, and stay competitive with the flexibility to interchange LLMs and other components as needed.
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Causaly: The Agentic AI Platform For Life Sciences
Agentic AI platform combining advanced agentic AI, precision knowledge graphs, and workflo · Biomedical knowledge graph with 500 million facts and 70 million directional relationships · 8 relationship types and 150+ ontology categories across 5 million biomedical concepts
Causaly
BusinessApplication; SoftwareApplication delivered as a web app
Web
Agentic AI platform that combines advanced agentic AI, precision knowledge graphs, and workflow automation to accelerate life sciences R&D productivity and decision-making
Identify and prioritize targets, discover novel indications, and validate evidence for regulatory filings across the R&D pipeline from early research through clinical development to post-market
Life sciences enterprises and R&D teams (scientists, data scientists, bioinformaticians, AI/IT teams)
End-to-end support from Causaly's PhD scientists and Science and Change Management teams covering AI strategy, workflow codification, strategic alignment, deployment planning, adoption, workflow execution, and ongoing research enablement
United Kingdom, with the Information Commissioner's Office (ICO) as the supervisory authority for data protection
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Causaly and Microsoft combined Microsoft Discovery analytics, prediction and simulation with Causaly knowledge-graph reasoning. The integration provides a governed workflow connecting computational signals to cited scientific decisions.
View source [16]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Causaly. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Accelerate discovery in biomedicine through transformative AI technologies
2018
Cofounded by Yiannis Kiachopoulos and Artur Saudabayev
London
$93M raised from venture capital firms and strategic investors
Accelerating clinical evidence validation for FDA label update submissions
Drug discovery target selection in partnership with Microsoft
Biomedical knowledge graph with 500 million facts and 70 million directional relationships across 8 relationship types and 150+ ontology categories covering 5 million biomedical concepts
Ingests PubMed scientific preprints/full-text/abstracts, genome-wide association studies, patent filings, Clinicaltrials.gov data, and proprietary customer information
Causaly platform includes Causaly Copilot, Causaly SIRS (Scientific Information Retrieval System), Causaly's GenAI Operating System, a Discover research portal, and an Agentic Research AI agent that generates initial draft reports
Enterprise deployment with proprietary customer data secured in a virtual private cloud via the Enterprise Data Fabric
Digital transformation and change management teams provide professional services including AI strategy, enterprise-level PhD research science support, deployment, program management, and day-to-day research support
Bio Graph API offers programmatic access to Causaly's biomedical knowledge graph for populating applications, workflows, and in-house data pipelines.
Biomedical knowledge graph containing 500 million reliable facts.
Biomedical knowledge graph containing 70 million directional relationships between biomedical concepts.
Knowledge graph includes 5 million custom biomedical concepts/ontologies not present in competitor knowledge graphs.
Private Data Fabric embeds, structures, and characterizes customers' proprietary internal and licensed third-party data inside the knowledge graph.
Scientific RAG™ hybrid retrieval combining similarity search with graph-based search to produce citation-verified answers.
Causaly Copilot is positioned as the first AI copilot purpose-built for scientists, powered by the biomedical knowledge graph and SIRS™ hybrid ranking.
Technology stack is open, modular, flexible, and extensible, allowing LLMs and components to be interchanged.
Governance features include centralized testing and tuning of the AI stack to meet enterprise requirements.
Adopted by the world's top 50 life sciences organizations for research and development.
Ingests, indexes, and intelligently extracts publicly available biomedical facts, concepts, and directional relationships into a high-precision biomedical knowledge graph
Automates up to 80% of R&D workflows with domain reasoning in a transparent collaborative platform
93% accuracy on biomedical claims through tight hallucination controls
Reads 400 documents in one minute (a task normally taking 1 week)
Combines more than 500 million curated data points with transparent logic
Automates the source-cited evidence layer behind the Target Product Profile (TPP) across clinical, commercial, regulatory, and medical affairs functions
Life sciences R&D teams (clinical, commercial, regulatory, medical affairs)
