Bio-Graph is an AI-powered knowledge graph platform that connects the entire biomedical universe — accelerating target identification, drug repurposing, and clinical prioritization for biotech and pharma teams.
Bio-Graph compresses years of manual research into actionable, evidence-backed insights — so your team can focus on decisions, not data wrangling.
All major knowledge domains — genes, proteins, pathways, diseases, compounds — connected in one traversable graph.
Intelligent agents continuously extract novel connections from publications, patents, and structured databases.
Rank targets against your own criteria — druggability, safety signals, novelty, and competitive landscape — in one workflow.
Every inference is traceable to its source with confidence scores — enabling trust, reproducibility, and regulatory documentation.
Automated pipelines and human-in-the-loop review keep the knowledge graph current and continuously improving.
Identify new indications for approved compounds by mapping molecular mechanisms across disease ontologies and clinical evidence.
Bio-Graph addresses the three most critical bottlenecks in early drug discovery — all in one platform.
Traverse multi-hop relationships across genes, variants, pathways, and phenotypes to surface novel high-confidence targets invisible to conventional approaches. Quickly generate and assess new hypotheses to guide R&D strategy.
Map existing approved compounds onto newly identified mechanistic pathways. Leverage highly interlinked information across data sources to discover new indications at dramatically reduced cost and clinical risk.
Score and rank candidate targets against multi-criteria frameworks — druggability, safety signals, clinical translatability, and pipeline fit. Data-driven decision-making with transparent scoring and customizable ranking options.
Three deeply integrated layers — from knowledge ingestion to intelligent prioritization — form the foundation of the Bio-Graph platform.
A comprehensive graph spanning every major knowledge domain relevant to drug discovery — integrating structured databases and unstructured literature into a single, traversable resource.
Continuously expanding knowledge coverage through automated multi-source extraction — with full provenance tracking and expert oversight built in at every step.
A flexible, AI-powered scoring engine that ranks drug candidates against criteria you define — adapting to your research strategy, therapeutic area, and business priorities.
Join leading biotech and pharma teams using Bio-Graph to compress years of research into weeks. See the platform live — tailored to your pipeline and therapeutic area.
Try Bio-Graph →Bio-Graph adapts to the needs of research-driven organizations — from agile biotech startups to global pharmaceutical enterprises and leading academic institutes.
Maximize limited R&D resources by rapidly identifying high-confidence targets and repurposing opportunities. Move faster from hypothesis to validated candidate with AI-guided insights and transparent evidence trails.
Integrate Bio-Graph into existing drug discovery pipelines to semantically connect proprietary data with public biomedical knowledge — unlocking hidden relationships and driving data-driven portfolio decisions at scale.
Empower scientists to navigate vast biomedical knowledge without technical barriers. Surface relevant connections across EMBL, PubMed, and proprietary datasets in minutes, not months.
A multidisciplinary team combining deep AI research, biomedical data engineering, and decades of pharma industry experience.
PhD in Computer Science specialising in AI, ML, and NLP. Formal certifications across core AI governance frameworks and 15+ years leading AI research and delivering real-world solutions in healthcare and life sciences.
10+ years designing and scaling data platforms, currently focused on integrating heterogeneous biomedical data and applying LLMs for entity recognition and knowledge extraction.
13+ years building and leading high-performing engineering teams, software and system architectures, and cloud-native systems across healthcare, life sciences, and AI-driven platforms.
25+ years leading AI innovation in pharma, with a strategic focus on leveraging complex bio-medical data to build scalable, commercially viable solutions in pharma, biotech, and healthcare.
Bio-Graph is an AI-powered knowledge graph platform that connects the entire biomedical universe — accelerating target identification, drug repurposing, and clinical prioritization for biotech and pharma teams.