Connecting every insight from FDA and other regulatory agency data across drugs, biologics, vaccines, devices, and cell therapies for making drug development more intelligent.
At Life Sciences Graph Inc., we have built the largest structured knowledge graph from regulatory, clinical, and scientific data such as from the United States FDA — spanning every aspect of regulatory science and product development. Our platform integrates and connects administrative correspondence, approval letters, clinical and statistical reviews, product quality reports, labels, and much more. This unified graph unlocks powerful new ways to explore regulatory intelligence, accelerate R&D, and enable evidence-based decision-making for your development pipeline. Our platform provides pivotal regulatory, clinical, and scientific intelligence — spanning preclinical studies, clinical trials, commercialization, and post-marketing surveillance.
Life Sciences Graph is more than a database—it's an interactive intelligence platform. Our user-centric design transforms complex, fragmented regulatory data into actionable insights through powerful features:
Interactive Relationship Visualizer: Instantly map connections between drugs, companies, clinical trials, and regulatory submissions.
Structured Query Language (SQL-like): Perform complex, multi-variable searches across billions of data points with a simple, intuitive interface.
Time-Series Analysis & Timeline Views: Track the full regulatory journey of any product, identifying critical decision points and time-to-approval metrics.
Proprietary AI/ML Tagging: Automated extraction and standardization of unstructured text from PDF and correspondence files, ensuring every key entity is connected.
Secure API Access: Seamlessly integrate the power of our knowledge graph directly into your internal data systems, proprietary models, and R&D pipelines.
We are committed to providing the industry’s most comprehensive and current view of regulatory science.
Primary Regulatory Bodies: United States FDA (CDER, CBER, CDRH), European Medicines Agency (EMA), Health Canada, PMDA (Japan), and more.
Key Document Types: Approval Letters, Clinical Review Memos, Statistical Reviews, Product Labels (SPL), Advisory Committee Meeting Minutes, Warning Letters, Administrative Correspondence, etc.
Complementary Data: Integrated connections to ClinicalTrials.gov, Global Patent Data, and Scientific Literature (e.g., PubMed abstracts).
Update Cadence: Data is refreshed and harmonized [DAILY/WEEKLY] to ensure you are always working with the most current regulatory intelligence.
Historical Depth: Coverage spans back to 1997, providing deep historical context for long-term trends.
Our knowledge graph is engineered to serve the core functions driving drug, device, and biologic development.
Regulatory Affairs & Strategy
Competitive Intelligence: Benchmark submission strategies, identify the most common deficiencies cited by regulators, and track competitors' review timelines.
Precedent Setting: Rapidly search and analyze similar products, submission histories, and regulatory decisions to establish strong precedents for your own filing strategy.
Risk Mitigation: Proactively identify potential regulatory roadblocks by analyzing patterns of non-compliance and common pitfalls cited in Warning Letters and complete response letters.
R&D and Clinical Development
Novel Target Validation: Identify relationships between approved products, specific mechanisms of action, and clinical endpoints to validate novel targets and indications.
Trial Design Optimization: Analyze historical trial characteristics (endpoints, patient demographics, study designs) that have led to successful regulatory outcomes.
Accelerate Literature Review: Use graph connections to rapidly synthesize scientific literature with regulatory outcomes, cutting months off early-stage research.
Pharmacovigilance & Safety
Signal Detection: Connect adverse event reports across products and mechanisms to spot emerging safety signals faster than traditional monitoring methods.
Labeling Compliance: Compare proposed labels with similar approved products and historical regulatory guidance to ensure preemptive compliance.
Business Development & Market Access
Due Diligence: Conduct rapid, deep-dive analyses of a target company's full regulatory history, outstanding deficiencies, and overall product risk profile.
Market Opportunity Sizing: Quickly assess the regulatory environment for novel technologies and identify white space opportunities based on regulatory precedent.
Vision: To eliminate the regulatory blind spots that slow down drug development, ensuring life-saving therapies reach patients faster.
Mission: We are building the most accurate, comprehensive, and interconnected regulatory, clinical, and scientific knowledge graph in the world. By structuring the complexity of global life sciences data, we empower biopharma professionals to make evidence-based decisions, accelerate R&D, and navigate regulatory pathways with unparalleled confidence.
Life Sciences Graph Inc. was founded by a team of regulatory science veterans, machine learning engineers, and biopharma leaders. We combine decades of experience [e.g., within the FDA, major biopharma companies, and specialized data science firms] to solve the industry’s most challenging data problems.
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Stay ahead of regulatory changes and explore deep-dive analyses leveraging our graph data. This is your hub for expert analysis, new feature announcements, and industry trends.
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Download our exclusive, data-driven reports that demonstrate the power of graph analytics in regulatory science.
Report: The Regulatory Landscape of Cell & Gene Therapy (2020-Present)
Description: A deep dive into global regulatory success rates and common submission obstacles for novel therapies.
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Report: Mapping Drug Safety Signals with Knowledge Graph Technology
Description: How AI-powered graph analytics identifies emerging pharmacovigilance signals faster than conventional methods.
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Life Sciences Graph Inc. is a Delaware corporation with its principal place of business in Massachusetts, USA.