Share data without losing control
We design and deploy federated data spaces: each organisation keeps its data, decides who uses it and for what, and artificial intelligence learns from many without anything being centralised.
A data space is a set of rules, not a warehouse
There is no big central database. There are organisations that recognise one another, a catalogue of what each one offers and contracts that state exactly what can be done with each piece of data.
Sovereignty
Data stays with whoever holds it. They decide who accesses it, for what and for how long.
ODRL contracts
Terms of use are written so that a machine can enforce them. No contract, no access.
Gaia-X trust
Each organisation identifies itself with verifiable credentials issued by trust services.
AI without moving data
Models are trained where the data is (federated learning and confidential computing).
From source to result in six steps
“Web 2” family
- Dataspace Protocolcatalogue, negotiation and transfer
- Identity Hubverifiable credentials for organisations
- Kubernetes deploymentHelm and Terraform, on any cloud or on-premise
“Web 3” family
- Compute next to the datathe algorithm travels, the data stays
- Distributed ledgertraceability of every access
- Traceable monetisationpay-per-use of data
Proven in three real data spaces
The Software in a Box team has taken part in the technology development of three data spaces co-funded by Spain's SEDIA between 2024 and 2026.
Global Data Care
Health data space on Pontus-X and Gaia-X, including compliance work for the Trust List of the Spanish data spaces programme.
PROCUREDATA
Procurement management data space with Eclipse connectors and integration with existing ERP systems.
EcoDataNet
Waste and circular-economy traceability with usage policies and verifiable credentials.
A data space for dental clinics with AI on Microsoft Azure
A network of clinics that trains and improves diagnostic AI without patient data ever leaving each clinic. Microsoft inside the node; open standards at the border.
What it includes
- A data node per clinic on Azure: medical records in FHIR and imaging in DICOM, pseudonymised at source.
- Diagnostic support AI: interproximal caries and periodontal bone loss on X-rays, validated by the dentist.
- Patient file assistant: summary of the history and a reviewable draft treatment plan.
- Eclipse EDC connector, HealthDCAT-AP catalogue and ODRL contracts between members.
- Federated training across clinics with confidential computing.
Why now
A health data space your team can sell
We are looking for Microsoft partners, technology integrators and software developers who want to offer their customers a federated data space on Azure. We bring the network, the data model and neutral operation; you sell, deploy and operate.
Partner briefing · about 6 minutes · in English
No R&D of your own
A reference architecture on Azure (FHIR, DICOM, Fabric and AI) and Eclipse connectors already proven in three real data spaces.
Recurring revenue
Deployment per customer, Azure consumption, managed services and compliance with the EHDS and the AI Act.
A neutral operator
We operate the network edge. The customer, the contract and the relationship stay yours.
Understanding where data spaces are heading
We select videos and write articles on the regulation, standards and technology shaping European data spaces.
The geopolitics of data standardisation
The European Commission, CEN/CENELEC JTC 25, ETSI TC DATA, IDSA and the DSSC explain the Data Act, trusted data transactions and the standards every data space will need to speak.
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The geopolitics of data standards: what is being decided in Europe and why it matters
The Data Act and the Digital Omnibus, the data product, ODRL, verifiable credentials and DCAT, and whether Europe can export its model. Our annotated summary of the webinar.
Read the article →Do you want to create or join a data space?
We help you define the rules, deploy the nodes and put AI to work on data that remains yours.
Or write to emilio.mulet@softwareinabox.eu · +34 601 398 868