Consortium Roles – DocSWISS AG

Consortium Roles: Building the Decision Cockpit with DocSWISS-AI at TRL 4

DocSWISS AG leads the development of DocSWISS-AI, a radiation-tolerant edge-AI vital signs patch at TRL 4, delivering Tiny AI Off the Grid for real-time predictive alerts (target ≥95% accuracy), risk qualification, and a unique retraction strategy that allows revocation of data access — eliminating ongoing risk if quality of life, performance, or safety is impacted.

This decision cockpit enables precision interventions, avoids follow-up costs from wrong decisions (including preventable deaths), and delivers ROI at only ~10% of the avoided expenses — across high-stakes sectors: defense & security, space, aviation & mass events, civilian healthcare, industrial safety, and financial/insurance & wellness. We are assembling a multidisciplinary consortium to co-validate, pilot, and scale this innovation.

Confirmed Collaborations (Signed MoU/NDA)

The following partners provide the foundation for patient-first governance, policy alignment, and ethical frameworks:

  • EuDiPPA Foundation — Patient brokerage, needs-based clustering, revocable data rights, and retraction mechanisms.
  • Digital Health Europe
    Partnering 4 Human Health & Performance
    Improving Outcomes & Impacts
    (New multistakeholder organization succeeding EPPOSI — focused on value-chain collaboration, EHDS alignment, and impact assessment).
  • Prof. Cornelis J. (Kees-Jan) Schilt
    VUB Department of History, Archaeology, Arts, Philosophy and Ethics (HARP) / Centre for Logic and Philosophy of Science
    — Expertise in AI ethics, philosophy of knowledge, and governance; coordinates grants and university cooperation for DocSWISS.

Targeted & Ongoing Discussions

We are actively engaging with leading experts and institutions (no specific names disclosed until agreements are finalized) in:

  • Academic/research partners (universities in the Netherlands, Switzerland, Belgium, and Germany) for co-development, validation, ethics, and health economics.
  • Technical validation and aerospace medicine partners for radiation tolerance and resilience.
  • European-level space agencies for mission-relevant dual-use applications.

Key Roles & Opportunities for New Partners

We invite organizations to contribute in these strategic roles:

  • Lead Coordination — DocSWISS AG (market execution, TRL advancement, overall grant coordination).
  • Grant & University Coordination — Prof. C.J. Schilt (VUB) — Leads grant applications (EU4Health, Horizon Europe, EIC) and university partnerships.
  • Patient Brokerage & Policy — Multistakeholder partners for data governance, EHDS alignment, and retraction strategy.
  • Ethics & Governance — Academic experts for responsible AI, philosophy of knowledge, and QoL-triggered retraction.
  • Validation & Testing — Technical partners for radiation/space-analog testing.
  • Early Pilots — Defense, space, healthcare, industrial, or insurance/wellness adopters for TRL 5–6 real-world trials and ROI validation.
  • Funding & Investment — Seed/bridge financiers and grant collaborators.

Our Vision

A consortium that combines sovereign EU data (Rust-based, citizen-owned), radiation-hardened edge-AI, and the retraction strategy into a decision cockpit — empowering users to eliminate ongoing risk, avoid massive follow-up costs (and preventable deaths), and achieve ROI at only ~10% of the savings.

Next Steps

If you represent an organization interested in any role (grant coordination, validation, pilots, ethics, funding, or investment):

Contact us to discuss MoU/NDA, collaboration scope, or pilot opportunities.
Email: john.wubbe@doc.swiss | Phone: +41 79 946 38 43

Call-Specific Roles (DocSWISS as Lead Applicant) 

Call DocSWISS (CEO) Key Partner Roles 
HORIZON-HLTH-2025-01-CARE-01 (GenAI4EU) Lead applicant; commercializes GenAI PRPC™ tools EuDiPPA: IP/FHIR standards DHE: HTA & pharma integration ESA: AI model training 
HORIZON-HLTH-2025-01-DISEASE-06 (GACD) Leads equity strategy; executes global pilots DHE: policy & self-care frameworks DocSWISS: multicultural ops (Africa, Far East) ESA: NCD analogs in extreme environments 
HORIZON-HLTH-2025-01-DISEASE-07 Funds frailty redefinition; owns IP EuDiPPA: Maslow/frailty diagnostics DocSWISS: wearable sensor design DHE: paediatric validation 
HORIZON-HLTH-2025-03-STAYHLTH-01 Commercializes QoL tech ESA: family-inclusive Everywear apps DHE: self-care policy advocacy 
HORIZON-CL4-2025-04-HUMAN-08 (GenAI Africa) Leads emerging market rollout DocSWISS: Africa/Far East execution ESA: funding & dissemination 
HORIZON-CL4-2025-03-DIGITAL-EMERGING-01 Leads sensor commercialization DocSWISS: photonics & multimodal integration ESA: AI-sensor fusion 
EDF – Medical Response & CBRN Dual-use lead; defense contracts DocSWISS: hardened hardware ESA: CBRN AI 
EDF – Space-Based ISR ISR autonomy lead ESA: biomed ISR & data relay 
EDF – EUDIS AI Challenge SME accelerator lead ESA: hackathon coordination DocSWISS: equity facility 
ESA – COSMOS M/F-Class Payload commercialization EuDiPPA: crew health systems ESA: mission biomed payload 
ESA – Discovery Programme Edge-AI deployment ESA: neuromorphic AI & hardware prototypes 
ESA – Concordia Analogue Isolation resilience tech ESA: operations support DHE: patient voice & ethics 

DocSWISS Commitment 

  • IP Ownership: FAIR-Value Loop™, PRPC™, DocSWISS SpacePatch™ 
  • EHDS Compliance: FHIR Profile, LOINC (pending), patient IP royalties 
  • Dual-Use Readiness: TRL 6+ via ESA; defense-grade autonomy 
  • Patient-Centric: Every euro/mission benchmarked to patient-reported Δ 

“DocSWISS doesn’t just monitor health — it monetizes improvement. From Brussels to Mars, the patient audits the system. That’s our IP. That’s our future.” — CEO, DocSWISS 

The FAIR-Value Loop

  1. F — Findable
    Data should be easy to find for both humans and computers.
    • Use persistent identifiers (PIDs) like DOIs.
    • Include rich metadata describing what the data is.
    • Ensure data is indexed in searchable resources (like repositories).
  2. A — Accessible
    Once found, data should be available under clear conditions.
    • Use standardized protocols for access (e.g., HTTPS, APIs).
    • Include clear usage licenses and access permissions.
    • Even if the data isn’t open, its metadata should still be accessible.
  3. I — Interoperable
    Data should work with other data and systems.
    • Use standard vocabularies, formats, and ontologies.
    • Ensure metadata and data can be combined across disciplines and platforms.
  4. R — Reusable
    Data should be well-described and licensed so it can be reused in the future.
    • Include detailed provenance (who created it, how, when).
    • Use clear licenses that state how data can be reused.
    • Follow community standards for data and metadata.