ForPharma and Research Organisations.

Access to real-world clinical data at scale is one of the most significant bottlenecks in drug development, trial design, and evidence generation.

Access to real-world clinical data at scale is one of the most significant bottlenecks in drug development, trial design, and evidence generation. Bavel Health removes that bottleneck without requiring data centralisation

Through Bavel's federated learning infrastructure, pharma and research organisations gain access to longitudinal, multimodal, encrypted clinical data across institutions and jurisdictions, without that data ever leaving its origin institution. Models train locally inside each hospital on encrypted, governed datasets. Only encrypted model parameters outputs move across the network. The result is multi-centre intelligence at scale, built on data that remains sovereign, on-premise, and fully under institutional control at all times.

Hospital source systems

FHIR

HL7

OMOP CDM

openEHR

REST & APIs

Legacy systems

FlexGrid

Harmonisation layer

Hospital dataset standard

Clinical AI Fabric

Cognitive Agent Interface

Governed researcher access

Encrypted data queries

Natural-language questions

Federated learning & AI training

Researchers

Hospitals across diverse demographics

Hospital site

Virtual Research Room

Multi-hospital · standard datasets

Researchers

FlexGrid ensures that data arriving from any institution, regardless of its source system, format, or maturity, is semantically normalised and research-ready. Virtual Research Rooms provide the governed compute environment where federated analytics, cohort discovery, and evidence generation take place under cryptographic governance and full auditability. The Clinical AI Fabric enables federated model training across institutions without any patient record leaving its origin environment. The Cognitive Agent Interface allows research teams to interrogate multi-institutional datasets in plain language, accelerating study design and hypothesis generation without requiring direct data access.

This enables multi-centre cohort discovery, federated AI model training, and the generation of evidence packages that meet the standards of EMA and FDA, without the legal, ethical, and operational complexity of centralised data lakes. Every access event is cryptographically governed and fully auditable by design.

What pharma and research organisations gain.

Access to longitudinal, multimodal clinical data across institutions without data centralisation.

Federated learning on encrypted, governed datasets that never leave their origin institution.

Multi-centre cohort discovery at institutional and international scale.

Regulatory-grade real-world evidence compliant with EMA and FDA standards.

Cryptographic governance and full auditability by design.

Accelerated trial feasibility and reduced data access timelines.

FlexGridVirtual Research RoomClinical AI Fabric

Multi-centre intelligence at scale

The result is multi-centre intelligence at scale, built on data that remains sovereign, on-premise, and fully under institutional control at all times.

Platform

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Explore the sovereign infrastructure stack that powers federated evidence generation for pharma and research organisations.