We're excited to be exhibiting at BioTechX Europe 2026 – Europe's largest event for pharmaceutical research and healthcare – taking place October 6–8 at Messe Basel, Switzerland. Together with our Digital Science sister brands Dimensions and ReadCube, we'll be showing pharma and life science teams how to accelerate breakthrough therapies with trustworthy AI insights grounded in FAIR principles and Knowledge Graphs.

Opportunities to connect with us

At our booth

Visit us at booth #278 to see metaphactory and metis in action. We'll be demonstrating how pharma and life science organizations use our knowledge graph technology to ground AI in trusted, governed scientific knowledge — from target identification and drug repurposing to enterprise-wide knowledge democratization. Bring your use case and let's talk.

At our conference sessions

The Foundation for Trustworthy AI: From FAIR Data Principles to Enterprise-Ready AI in Pharma
Mark Hahnel, VP of Open Research, Digital Science Tuesday
October 6, 12:05 | Data Integration + FAIR track

Pharma faces a "scientific content crisis" due to poor data quality, non-FAIR data and governance gaps, hindering AI and regulatory compliance. This session offers an actionable blueprint: using FAIR principles for policy foundation and knowledge graphs for the operational layer. Attendees will hear strategic recommendations: investing in data infrastructure, adopting neuro-symbolic architectures to eliminate hallucinations, and building for machine actionability for audit-ready, trustworthy AI.

A Practical Path to AI-Grounded Drug Discovery with Knowledge Graphs
Mark Hahnel, VP of Open Research, Digital Science Tuesday
October 6, 15:50 | AI in Drug Discovery and Development track

LLMs in drug discovery suffer from hallucination and lack of semantic intelligence. This talk presents practical, knowledge-grounded AI applications using knowledge graphs for use cases like target identification and polypharmacy prediction. The core is the neuro-symbolic approach which uses a knowledge graph to transform probabilistic LLMs into reliable reasoning systems. Learn to accelerate your pipeline by connecting internal knowledge with the research ecosystem via persistent identifiers.

What we'll be showcasing

Trustworthy AI for pharma & life sciences — grounded in FAIR data and knowledge graphs

At BioTechX Europe 2026, our team will be demonstrating how metaphacts and Digital Science solutions deliver:

• A FAIR data foundation for trustworthy AI: Turn FAIR principles from policy into practice — with the metadata, governance, and traceability pharma organizations need to make AI audit-ready and compliant under emerging regulation such as the EU AI Act.
• Knowledge-driven agentic AI: Ground your AI agents and LLMs in trusted, governed scientific knowledge. Prevent hallucinations with neuro-symbolic architectures that connect conclusions back to verifiable, machine-interpretable knowledge.
• Accelerated discovery across the R&D pipeline: From target identification and drug repurposing to polypharmacy and adverse drug reaction prediction — see how knowledge graphs surface non-obvious, clinically relevant connections across internal and external data.
• Proven at scale in pharma: Learn how other customers use metaphactory to democratize knowledge across the enterprise with a governed knowledge graph that empowers domain experts.