Core contributor across COUCH, vCare, CO-ADAPT, iHELP, RE-SAMPLE, BEAMER, and ExACT — all focused on digital tools for patient care and health monitoring.
INNOVATION SPRINT
Belgian SME building secure digital health platforms — from patient coaching to AI clinical decision support and GDPR-compliant health data systems.
Their core work
Innovation Sprint is a Brussels-based technology SME specializing in digital health solutions, building software platforms that bridge clinical care with data-driven decision support. Their work spans patient coaching and rehabilitation systems, secure health data management (including federated learning and GDPR-compliant architectures), and cybersecurity for healthcare infrastructure. They bring software engineering and integration expertise to large EU consortia, translating research concepts into functional eHealth tools for chronic disease management, cancer research support, and personalized medicine.
What they specialise in
PANACEA addressed cybersecurity for hospital infrastructure; RE-SAMPLE focused on GDPR-compliant federated learning; BEAMER on patient adherence data.
SecureIoT on predictive security for IoT platforms, TERMINET on next-generation IoT interconnection, and INFINITECH on IoT-driven financial services.
iHELP (their largest project at €578K) and RE-SAMPLE both center on AI-powered decision support for chronic disease and cancer care.
PHYSICS project focused on Function-as-a-Service and multi-cloud optimization applied to eHealth scenarios.
PANACEA used blockchain for healthcare identity management; INFINITECH applied blockchain to financial services interoperability.
How they've shifted over time
Innovation Sprint began (2017-2019) with a focus on patient-facing digital tools — virtual coaching for rehabilitation (vCare, COUCH), adaptive environments for healthy ageing (CO-ADAPT), and cybersecurity for healthcare systems (PANACEA). From 2019 onward, their work shifted decisively toward data-intensive health platforms: AI-driven decision support (iHELP), privacy-preserving data architectures with federated learning (RE-SAMPLE), and cloud-native service delivery (PHYSICS). The trajectory shows a clear move from building front-end patient tools to engineering the back-end infrastructure for secure, AI-powered precision health.
Innovation Sprint is converging on privacy-preserving AI for clinical decision-making — a partner looking to build GDPR-compliant health data platforms should consider them seriously.
How they like to work
Innovation Sprint operates exclusively as a consortium participant, never as coordinator, which suggests they position themselves as a technical implementation partner rather than a project leader. With 209 unique partners across 27 countries from just 12 projects, they work in large, diverse consortia (averaging ~17 partners per project) and rarely repeat partnerships — indicating they are adaptable integrators who can plug into new teams quickly. Their Brussels location and broad network make them an accessible and well-connected technical partner for consortium builders across Europe.
With 209 unique consortium partners across 27 countries, Innovation Sprint has one of the broadest collaboration networks relative to their project count, covering nearly all EU member states. Their Brussels base places them at the geographic center of EU research policy and networking.
What sets them apart
Innovation Sprint sits at a rare intersection: they combine deep health domain knowledge with strong cybersecurity and data privacy engineering — a combination that is increasingly critical as health data regulations tighten across Europe. Unlike pure IT companies that treat healthcare as just another vertical, their project portfolio shows sustained commitment to clinical outcomes (patient adherence, chronic disease, cancer care). For consortium builders, they offer a compact SME that can deliver both the eHealth platform components and the GDPR/security compliance layer, reducing the need for separate partners.
Highlights from their portfolio
- iHELPTheir largest funded project (€578K) combining AI decision support with cancer research and policy-making — marks their clearest move into clinical AI.
- RE-SAMPLESecond-largest funding (€557K) and a flagship for their privacy-first approach: federated learning, GDPR compliance, and chronic disease management combined.
- PANACEADemonstrates their cybersecurity-for-healthcare niche — dynamic cyber risk assessment and blockchain-based identity management specifically for hospital infrastructure.