SciTransfer
Organization

A7 SOFTWARE

Belgian software SME building personal data vault and health record interoperability systems using HL7 FHIR and data sovereignty frameworks.

Technology SMEdigitalBESMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€997K
Unique partners
33
What they do

Their core work

A7 SOFTWARE is a Belgian technology SME specializing in personal health data interoperability and personal data sovereignty platforms. Their work centers on building software systems that allow individuals to control, share, and monetize their own data — whether health records or general personal data — using open standards like HL7 FHIR. In InteropEHRate they contributed to patient-held health records at the network edge, enabling cross-border EHR exchange. In DataVaults they worked on persistent personal data vault infrastructure with privacy-preserving storage, data brokerage models, and fair remuneration mechanisms for data sharing.

Core expertise

What they specialise in

Personal health data interoperability (HL7 FHIR, PHR)primary
1 project

In InteropEHRate (2019–2022), A7 SOFTWARE contributed to interoperable electronic health record exchange using HL7 FHIR standards, edge computing, and peer-to-peer communication protocols for patient-held records.

Personal data vaults and data sovereigntyprimary
1 project

In DataVaults (2020–2023), A7 SOFTWARE worked on persistent personal data vault architecture covering data storage, data control, data ownership, and privacy-preserving analysis.

Personal data economy and data brokerage modelssecondary
1 project

DataVaults explicitly addressed personal data business models, fair remuneration for data sharing, and data brokerage — suggesting A7 SOFTWARE contributed to the economic and governance layer, not just the technical stack.

Adaptive data integration and integration governancesecondary
1 project

InteropEHRate keywords include adaptive data integration, incremental integration, and integration governance, pointing to software engineering expertise in complex multi-source health data pipelines.

Data security and privacy-preserving systemsemerging
2 projects

Data protection appears in both projects, and DataVaults added security and privacy-preserving storage as explicit themes, indicating a consistent but deepening focus on secure data handling.

Evolution & trajectory

How they've shifted over time

Early focus
Health data interoperability, HL7 FHIR
Recent focus
Personal data sovereignty, data economy

A7 SOFTWARE's H2020 trajectory shows a deliberate shift from health-specific data interoperability toward broader personal data sovereignty. In their first project (2019), the focus was on making health records portable and interoperable across borders — a domain-specific, standards-driven engineering challenge using HL7 FHIR and edge computing. By 2020, their second project moved the lens from "how do we exchange data" to "who owns data and how is value distributed" — introducing data vaults, data brokerage, and fair remuneration as core concepts. The trend suggests A7 SOFTWARE is positioning itself at the intersection of data infrastructure and data economy governance, applicable well beyond the health sector.

A7 SOFTWARE is moving toward personal data infrastructure with economic and governance layers — a space gaining regulatory momentum under GDPR, the EU Data Act, and the European Health Data Space, making them a relevant partner for data space initiatives.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European10 countries collaborated

A7 SOFTWARE has participated exclusively as a consortium member — never as coordinator — across both projects, suggesting they operate as a specialist contributor rather than a project driver. They have worked in large, internationally diverse consortia (33 unique partners across 10 countries for just 2 projects), which points to projects with many integrating components where A7 SOFTWARE likely delivered a focused software module or platform component. This profile suggests they are reliable, technically focused partners who fit well into multi-partner research and innovation projects needing digital infrastructure expertise.

A7 SOFTWARE has collaborated with 33 unique partners across 10 countries through only 2 projects — an unusually broad network footprint for such a small H2020 portfolio, suggesting active integration in large multi-partner consortia. No repeated partner relationships are detectable with only 2 projects, so geographic loyalty patterns cannot be assessed.

Why partner with them

What sets them apart

A7 SOFTWARE occupies a rare niche combining health data interoperability engineering (HL7 FHIR, PHR) with personal data economy infrastructure (data vaults, data ownership, brokerage) — few SMEs operate credibly across both. As a Belgian SME based in Seraing (Wallonia), they bring proximity to EU institutions and likely familiarity with EU data regulation, which is increasingly central to data space project requirements. For consortia building data-sharing platforms in health or adjacent sectors, A7 SOFTWARE brings both the technical plumbing and the data governance layer in a single small partner slot.

Notable projects

Highlights from their portfolio

  • InteropEHRate
    Their largest funded project (€643,696) tackled cross-border patient-held health record exchange using HL7 FHIR at the network edge — directly relevant to the European Health Data Space initiative.
  • DataVaults
    This project extended A7 SOFTWARE's work beyond health into a general personal data sovereignty platform with explicit data brokerage and fair remuneration models — an early signal of the EU Data Act direction.
Cross-sector capabilities
health — electronic health records, patient data portability, FHIR-based integrationlegal / regulatory tech — data governance, GDPR-aligned data control frameworks, data ownership modelsfinancial / data economy — data brokerage infrastructure, fair value exchange mechanisms for personal data
Analysis note: Only 2 projects in the dataset, both as participant, with no coordinator history and no website available. The profile is internally consistent and the keyword data is rich, but the small sample size limits certainty about organizational depth, team size, or sustained capabilities beyond these two engagements. Treat expertise claims as directional rather than definitive.