Prodigy AI Solutions is an Italy-based AI startup developing graph-based knowledge infrastructure and custom machine learning for complex, regulated environments. Its flagship product, Verbis Graph, combines knowledge graphs and hybrid retrieval to connect fragmented documents and data, support multi-hop analysis, and return source-grounded, traceable evidence.

The platform is available on AWS Marketplace and Microsoft Azure Marketplace and has been evaluated at scale through a EuroHPC project on CINECA's Leonardo supercomputer. The team also develops specialised ML: an experimental, privacy-conscious medical-imaging synthetic-cohort MVP advancing toward TRL5 demonstrates our capacity to build domain-specific models.

For REHEAL, we can adapt these capabilities to medical-device lifecycle data, procurement intelligence and system-level demand modelling.

We are looking for a co-ordinator, a partner.

We are looking for an experienced PCP/Horizon coordinator and complementary partners with hospital or health-system access and expertise in circular medical-device workflows, UDI/GS1 and asset data, IoT/RFID tracking, reprocessing and remanufacturing, regulatory compliance, life-cycle assessment, procurement economics, cybersecurity, interoperability and multi-site pilots. We are particularly interested in consortia addressing Component 1 (lifecycle traceability and data infrastructure), Component 3 (procurement decision support) and Component 4 (system-level intelligence and demand modelling), while remaining open to integration with operational management and recovery workflows.

What we offer in a joint tender? Prodigy offer a modular graph-based AI and custom ML capabilities that can connect lifecycle, operational, cost, regulatory and sustainability data from fragmented sources; model devices, components, events and chain-of-custody relationships; retrieve traceable evidence; and expose APIs for partner systems. We can contribute entity resolution, knowledge-graph and GraphRAG retrieval, source citations, custom ML for demand and capacity modelling or anomaly detection, containerised private/cloud deployment, and benchmarking and reproducibility experience. Verbis Graph is already commercialised through AWS and Azure; REHEAL-specific medical-device functions would be co-developed and validated with consortium partners, not presented as an existing medical-device product. Our medical-imaging synthetic-data MVP provides additional evidence of our capacity to engineer specialised, privacy-conscious ML for healthcare.