FedX · Sovereign Federated AI Platform
Data stays. AI travels. FedX.
Compliant federated AI for sensitive, distributed data.
FedX is a sovereign federated AI platform that lets institutions collaborate on private data without ever moving it. Models, queries and analytics travel to where the data already sits — only results come back — so each organisation keeps full control of its own infrastructure, data and policies. Built on the E-Group AI Platform's sovereign compute core, FedX combines the full Data Analytics and AI Model Training domains into one privacy-preserving environment. It creates regulator-aligned, compliant environments from day one and lets partners move from local prototyping to multi-institution federated analysis and real-world studies with minimal overhead — without the underlying data ever leaving its source.
The problem it solves
Most institutions hold valuable private data.
Few can collaborate on it.
-
01
Siloed private data.
Data locked inside single institutions limits representative datasets, validation, and AI performance across organisations.
-
02
Privacy & regulatory constraints.
GDPR and the EU AI Act make high-quality sensitive data difficult to access and operationalise.
-
03
Data sovereignty.
Patient records, trade secrets and operational telemetry cannot leave the institution — but most AI approaches assume the data is pooled centrally.
-
04
Heavy custom integration.
Moving from a local prototype to multi-institution AI usually means heavy bespoke integration and a large compliance effort.
-
05
Slow time to value.
Privacy reviews, data-sharing agreements and infrastructure work stretch federated projects from months into years.
FedX resolves all five. One federated platform, deployed inside each member's own perimeter, that unlocks cross-institution intelligence without surrendering data, autonomy or compliance posture.
Who it is for
FedX is built for consortia, public-sector bodies and industry alliances.
FedX is built for consortia, public-sector bodies and industry alliances that need to cooperate on sensitive data without centralising it. Its structural advantage is sharpest in European verticals where data is special-category or operationally critical, and where EU corporate jurisdiction — not a data-residency promise — has become the dispositive criterion. Each member keeps its own secure node, governance and accountability, while still contributing to and benefiting from shared analysis.
-
Healthcare & Life Sciences
Healthcare data is GDPR Article 9 special-category, and the European Health Data Space framework requires cross-border exchange under explicit sovereign-jurisdiction rules. FedX enables federated learning and real-world studies across hospitals, biobanks and pharmaceutical R&D sites without the underlying patient or trade-secret data ever leaving the institution — operationally validated across major national and European health data ecosystems.
-
Research Consortia & Data Spaces
Multi-party research alliances need representative datasets across institutions but cannot pool them under privacy law. FedX lets several independent organisations join the same federated network, each running its own secure node, contributing to shared models and analysis while retaining full control of infrastructure and policy — reproducible, regulator-aligned results that are far easier to operationalise.
-
Public Sector & Agencies
European sovereign-procurement frameworks make EU corporate jurisdiction the dispositive criterion, and many public datasets are prohibited from non-EU cloud processing. FedX runs federated analysis across agencies and regions while every dataset stays on-premise under each authority's own governance — cross-organisation initiatives that respect each party's sovereignty.
-
Critical Infrastructure & Energy
Grid operational telemetry is explicitly barred from non-EU cloud processing under several national frameworks. FedX delivers federated learning across grid regions and operators — keeping all operational data in place while enabling cross-regional pattern recognition for fault detection and demand forecasting.
-
Manufacturing & Industrial
Process parameters, formulations and machinery telemetry are trade secrets that cannot be shared in the clear. FedX is the natural deployment platform for federated learning across plants, suppliers and OEM boundaries without the underlying data leaving any site — shared intelligence without shared risk.
-
Banking & Financial Services
Regulated entities need cross-institution intelligence — for fraud, risk and AML patterns — but cannot concentrate sensitive data in a third party. FedX enables collaborative model training across financial entities under EU jurisdiction, each keeping its own data, governance and audit trail in place.
For technology partners and platform providers, FedX also opens new AI service and monetisation opportunities — delivering compliant federated AI to clients without moving data, and without building the federation layer themselves.
Operationally validated
Already running in production health data spaces.
FedX is not a prototype. It is operationally validated across major national and European health data ecosystems, with live multi-institution federation today.
-
8
Biobanks actively using FedX
-
50+
Providers & service providers in the Helix Health Data Space
-
120,000
Individuals' data unified across nodes
-
OMOP
EHDEN Certified · standards-aligned federation
What FedX does
Federated intelligence, end to end.
FedX draws on a focused subset of the E-Group AI Platform: the sovereign compute core, the full Data Analytics and AI Model Training domains, and the workflow, identity and integration controls a regulated federation needs. Below are the capabilities FedX activates — nothing it doesn't.
-
Federated orchestration
FedX coordinates data and processing across multiple systems, sites or institutions without centralising anything. Work is distributed to where the data already sits and only results are shared, so organisations gain insight from distributed data while respecting residency rules — collaboration across units, partners or borders in a controlled way.
-
Federated data catalogue
A shared, organisation-wide index of where data lives and what it contains — without ever moving it. Analytics teams get a single, searchable view of datasets across departments, partners and institutions, while each owner keeps full control. Faster access to the right data, less time hunting for what exists where.
-
Multi-institution nodes
Several independent organisations participate in the same federated network, each running its own secure node. Every institution keeps control of its infrastructure, data and policies while still contributing to and benefiting from shared analysis. Governance, access and accountability are maintained separately per member, so trust is preserved across the network.
-
Federated learning & MLOps
Train and tune AI models across multiple data sources without moving the data itself, with machine learning and a governed Model Registry that tracks versions, ownership and approval status. MLOps and Evaluation & Guards keep training accountable — turning sensitive, distributed data into managed, auditable models that improve over time.
-
Advanced analytics & local data services
Richer analysis over distributed data through native charts and spreadsheets — generate and edit .xlsx from natural-language prompts, with formulas, pivots and inline charts. Local Data Services keep storage and processing inside each customer's network, including air-gapped deployments, with Data Lakehouse and BI connectors feeding governed insight.
-
Sovereign compute, identity & trust
FedX runs on a sovereign compute core — code sandbox, model and inference routing, self-hosted models and tool integrations — under enterprise identity. RBAC, Identity & Access Management, Consent Manager, and full Observability, Monitoring & Auditing establish who may do what, with every action recorded. Multi-layered, auditable privacy defences by design.
Features & benefits
Why partners choose FedX.
-
Data stays local, AI travels
Models and queries move to the data; only results return. Built for GDPR and the EU AI Act, with multi-layered, auditable privacy defences.
-
Minimal-code migration
Move from open-source and local prototyping to federated production with minimal overhead — and scale from a single-site prototype to multi-institution collaboration.
-
End-to-end workflow control
From federated catalogue through processing to monitoring, the whole pipeline is governed — with containerised cloud-edge deployment across AWS, Azure, Arsys and more.
Where FedX sits in the platform
FedX is composed from a specific subset of the E-Group AI Platform.
The same sovereign AI Core at the centre, with the domains a federated deployment activates highlighted below. Highlighted segments are the domains FedX uses; muted segments belong to the wider platform and are not part of FedX.
One AI Core. The FedX domains.
Identity & Trust
Digital Signature, KYC Directory, Cloud HSM, Consent Manager, RBAC, Identity & Access Management, Media Validation, Observability, Monitoring & Auditing — who is who, what they may do, and a record of every action.
FedX Security & Compliance
Deployment Options
- Domains FedX activates
- 3rd Party & Open Source (optional)
- Platform domains not in FedX scope
Engage
Ready to evaluate FedX?
Schedule a partner-fit review and technical walkthrough. We define the use case, the participating institutions, the data environment and the compliance path together. Every engagement starts with a structured working session. The output is a defined federation plan — not a proposal.