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Your Challenge:
Recoding Medicine

European hospitals, biobanks, and research institutions hold health data of exceptional depth — imaging archives, longitudinal cohort studies, multi-omics repositories, clinical registries. The raw material for AI-driven breakthroughs in medicine is already here. It remains largely untapped.

The central obstacles are easy access, curation, and the lack of structured collaboration between data holders and AI talent. Researchers with the right methods do not have the right data; institutions with valuable datasets lack the capacity and the incentive to make them available. Existing initiatives close only part of the gap. What is missing is an instrument that makes the creation and curation of high-quality, low-barrier health datasets, AI tools, and benchmarks its central goal — and demonstrates their economic value. This is where Recoding Medicine comes in.

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The Challenge: Curate a unique, high-value health dataset — and prove its worth through a concrete AI application with real clinical or commercial value.

Recoding Medicine unlocks new health data for AI innovation and proves its value through concrete applications. Each team curates at least one unique health dataset of high clinical or societal relevance, in line with applicable law. Building on it, each team demonstrates translational or commercial value through at least one concrete AI application — from biomarkers to diagnostics and clinical decision support to drug repurposing.

A substantial, documented public contribution is expected from each team; its form, layer, and access model are project-specific.

The responsible handling of sensitive health data and the safeguarding of data protection and data sovereignty are guiding principles for every project.

The challenge runs over three stages and 24 months. A jury of internationally recognized experts supports SPRIND in the selection. At a Pitch Day in early November 2026, the jury decides which of up to 12 teams start in Stage 1 (12 months); up to 7 continue to Stage 2 and up to 4 to Stage 3 (six months each). SPRIND provides up to €480,000 per team in Stage 1, up to €455,000 in Stage 2, and up to €550,000 in Stage 3 (in each case plus VAT, where applicable). Funding is awarded as pre-commercial procurement (PCP). The Challenge is funded by the Federal Ministry of Health (BMG).

Beyond funding, SPRIND supports teams throughout with technical, regulatory, and commercial coaching, opens access to cooperation partners and experts, and organizes Demo Days and match sessions with investors and industry partners. Where breakthrough-innovation potential is evident, further support after the challenge is possible.

Detailed information can be found in the call for submission and the participation agreement.

The application period runs until October 16, 2026, at 18:00 (CET). A prerequisite for participation is demonstrable access to at least one suitable dataset. All applications submitted by this deadline will be considered.

To introduce the SPRIND Challenge and address open questions, we are offering a webinar on August 20, 2026, from 3:00–4:30 PM CET.

Teams of all legal forms can apply — universities, non-university research institutions, established companies, start-ups, and incubators. A prerequisite is a headquarters in the European Union, the European Free Trade Association (EFTA), the United Kingdom, or Israel. Individual team members or collaboration partners may be based outside this region. Work on the challenge contribution may not be funded in parallel by other public sources.

Yes. Demonstrable access to at least one suitable dataset is a prerequisite — applications without a dataset component are not accepted. Three applicant profiles are possible: data holders with their own AI project; AI teams with demonstrable access to a relevant dataset (e.g. via a binding cooperation agreement); or an existing tandem of data holder and AI team.

A jury of internationally renowned experts supports SPRIND in the selection. Applications first pass a pre-selection within SPRIND; selected teams then pitch to the jury on Pitch Day. Evaluation is based on four equally weighted criteria: approach, implementation, team, and cost-effectiveness.

The core of every project is a unique, high-value dataset that demonstrably goes beyond publicly available alternatives. Not in scope, for example: mere incremental extensions of existing datasets, marginal enrichment of large public datasets, purely synthetic data without a real-world basis, datasets with unresolved consent or commercial-use rights, or data too narrow or low-signal to support a robust AI use case.

SPRIND provides up to the following amounts per team, each plus VAT and depending on the individual cost estimate: EUR 480,000 for Stage 1, EUR 455,000 for Stage 2, and EUR 550,000 for Stage 3. Funding is awarded as pre-commercial procurement (PCP); all expenses that contribute to achieving the challenge objective are eligible for funding. The details are governed by the Participation Agreement.

Each team is expected to make a substantial, documented public contribution. Its form, layer, and access model are project-specific — examples include curated datasets, benchmark suites, annotation tools, ETL and methods pipelines, open model weights, or contributions to existing open ecosystems. No single mandatory open-source canon is prescribed in advance.

receives a royalty-free, non-exclusive right to use the results. Details can be found in the participation agreement or SPRIND’s IP FAQ.

At the end of each stage — 14 days before it closes — each team submits a short report on its progress, the intellectual property created (know-how, data, inventions), and any publications. This is required whether or not the team applies for the next stage.

Yes. Where SPRIND sees sufficient breakthrough-innovation potential, it can continue to support teams beyond the end of the challenge.

All submissions are treated confidentially and shared only with the jury, reviewers, and challenge coaches, who are themselves bound to confidentiality. The selected teams are announced publicly; by submitting an application, teams agree to this.

Do you have any questions about the challenge? Write to us at challenge@sprind.org.

Jano Costard, Head of Challenges
Jano Costard, Head of Challenges
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