Software and AI companies at BioTechX Europe 2026
Oct 6–8, 2026 Basel, Switzerland ~3k attendees Website
75 software and AI companies are at BioTechX Europe 2026 — 38 presentations on the program and 74 with a booth in the exhibit hall. Most represented: Seqera (3 on the program), Elsevier (3 on the program), QIAGEN (2 on the program). 75 of them have their own page in this guide. As of Sep 26, 2026.
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Top represented
Showing 1–13 of 75 organizations
| Organization | BioTechX Europe 2026 Attendance |
|---|---|
Seqera Barcelona, Spain | |
Software for scalable, reproducible scientific data analysis pipelines in genomics and beyond. | Booth Exhibiting at Booth 420 Chair Tue Oct 6 11:40 Talk Tue Oct 6 15:50 |
Elsevier Amsterdam, Netherlands | |
Scientific and health information company offering evidence-based content and AI-enabled digital tools for pharmaceutical and biotech R&D. | Booth Exhibiting at Booth 328 Keynote Tue Oct 6 09:20 Semantic Layer or Silent Failure: Evidence-Based Rules for Grounding Agentic Workflows in Drug Discovery AI & large language modelsData integration & FAIR Talk Tue Oct 6 12:05 Making agentic workflows in drug discovery dependable with chemistry, pharmacokinetics, and safety data connectors How cleaned, consistently labeled data on chemistry, safety and how the body processes drugs makes AI drug discovery assistants more dependable. |
Sample-to-insight company; here its QIAGEN Digital Insights unit shows curated biomedical knowledge bases and omics analysis software. | Booth Exhibiting at Booth 358 Talk Tue Oct 6 12:05 From Causal Knowledge Graphs to Cell-Level Predictions of Biological Activity in Single Cell and Spatial Datasets How curated cause-and-effect facts about gene regulation can predict pathway activity in each single cell, revealing cell groups that standard grouping methods miss. Talk Wed Oct 7 16:50 The evidence foundation that delivers AI agents with the best accuracy and scalability Testing AI models on drug discovery tasks alone versus linked to curated networks of biological facts, comparing accuracy, sourcing and cost. |
SAS Cary, NC | |
Analytics and AI software used by pharma and biotech across clinical research and development. | Booth Exhibiting at Booth 290 Panel Tue Oct 6 17:25 Talk Wed Oct 7 12:05 Orchestrating the Future of Clinical R&D: From Long-established Expertise to AI‑Driven Expert Agents How specialist AI assistants for data handling, statistics and reporting could reshape clinical research work, with human experts directing them. |
Causaly London, United Kingdom | |
AI platform for biomedical research that maps cause-and-effect relationships from scientific literature and data for drug discovery teams. | Booth Exhibiting (no floor booth listed) Talk Wed Oct 7 12:45 |
Certara Radnor, PA | |
Biosimulation software and services for drug development, including modelling, simulation and scientific informatics. | Booth Exhibiting at Booth 288 |
EL | |
Platform bringing policy enforcement, cryptographic traceability and verifiable audit evidence to AI and agentic workflows in life sciences. | Booth Exhibiting at Booth S48 Talk Thu Oct 8 11:10 When Regulators Come Knocking: Building Agentic AI That Can Answer AI & large language models |
Flywheel Minneapolis, MN | |
Imaging data platform that curates, manages and prepares medical and research imaging data for AI across the R&D pipeline. | Booth Exhibiting at Booth 204 Talk Wed Oct 7 12:05 The Imaging Data Factory: Activating Imaging Data Across the Full R&D Pipeline How one platform automatically turns scattered medical imaging data into traceable, compliant datasets ready for clinical trial analysis and AI training. |
Digital Science London, United Kingdom | |
AI-focused technology company providing research data, analytics and collaboration tools to knowledge workers in research-intensive industries. | Booth Exhibiting at Booth 278 Talk Tue Oct 6 12:05 The Foundation for Trustworthy AI: From FAIR Data Principles to Enterprise-Ready AI in Pharma How drug companies can build trustworthy AI by making data findable and reusable, and linking facts together so answers can be checked. Talk Tue Oct 6 15:50 A Practical Path to AI-Grounded Drug Discovery with Knowledge Graphs How pairing large language models with networks of known biological facts makes them more reliable at finding drug targets and predicting drug interactions. |
Neo4j San Mateo, CA | |
Graph database and knowledge graph platform that connects fragmented data for analytics and AI. | Booth Exhibiting at Booth 216 Talk Tue Oct 6 12:45 Augmented AI: Building Contextual Intelligence with Knowledge Graphs How knowledge graphs, databases of linked facts, help large language models give more accurate answers with fewer made-up claims in drug research. Talk Thu Oct 8 11:50 HepSAFE: Integrating Clinical, Literature, and Experimental Evidence for DILI Prediction How linking clinical, published and lab evidence in one connected database helps predict which drug candidates may injure the liver. |
Cohort generation platform that delivers the multimodal, longitudinal patient datasets needed to answer pharma research questions. | Talk Tue Oct 6 12:05 There’s no AI in 'Silo': Decentralized Clinical Trials, from Patients to Nations Why precision medicine will be won by whoever can reach the most patient data, not by the biggest database or AI model. Chair Wed Oct 7 15:25 |
Benchling San Francisco, CA | |
Cloud software for biotech R&D, including electronic lab notebook, registry and data tools. | Booth Exhibiting at Booth 206 Talk Wed Oct 7 12:45 AI for Every Scientist: How Agentic AI, Grounded in the Scientific Record, Accelerates Discovery How AI assistants built into a lab data platform can draft hypotheses, write reports and flag expiring reagents while citing their sources. |
Biorelate Manchester, United Kingdom | |
Causal AI platform that curates cause-and-effect relationships from biomedical literature to support drug discovery. | Booth Exhibiting at Booth 426 Talk Tue Oct 6 12:45 |
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