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30 Jun – 3 Jul 2026 | Berlin, Germany

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PartnershipUpdated on 10 June 2026

Explainable, Citation-Backed, Ontology-Aware AI for Pharma, Healthcare, and Life Sciences

Founder "Prodigy AI Solutions" at Prodigy AI Solutions

Bologna, Italy

About

Verbis Graph is an enterprise AI knowledge retrieval and reasoning platform designed to transform fragmented documents, entities, and relationships into connected, searchable, and explainable knowledge. Learn more about Verbis Graph in pharma, health and life science https://engine.verbisgraph.com/pharma-life-science/en

We are seeking partners, co-developers, and domain collaborators to build AI system for pharma, healthcare, and life sciences on top of Verbis Graph - verbisgraph.com

This collaboration is especially relevant for use cases that require:

  • traceable and citation-backed answers

  • reasoning across multiple documents and knowledge sources

  • entity and relationship-aware retrieval

  • explainable outputs for regulated or knowledge-intensive workflows

  • support for scientific, clinical, and operational complexity

Potential application areas include:

  • regulatory and quality documentation intelligence

  • clinical and medical knowledge workflows

  • pharmacovigilance and safety information review

  • scientific literature and evidence investigation

  • SOP, policy, and compliance intelligence

  • technical and operational knowledge retrieval in healthcare and life sciences organizations

We are open to different forms of collaboration depending on fit, including:

  • API-based partnerships

  • pilot and PoC collaborations

  • co-development of domain-specific AI agents

  • enterprise innovation partnerships

  • partner-led go-to-market opportunities

Verbis Graph is already commercially available through major cloud marketplaces and provides a strong foundation for explainable, graph-based AI applications in regulated and knowledge-intensive industries.

If you are exploring how to build more trustworthy and domain-aware AI agents for pharma, healthcare, or life sciences, we would be glad to connect.

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