DISEASE INTELLIGENCE · FUNDING & SCALE OS

Build the company.
Prove the engine. Fund the scale.

Disease Intelligence V9 adds a funding-readiness layer to the product: grant radar, investor room, validation architecture, defensibility, consortium building, benchmark design and a staged scale roadmap. The goal is not to claim we are already the world's strongest platform—it is to build the evidence required to earn that position.

FUNDING READINESS

Funders do not finance feature lists. They finance credible de-risking.

V9 turns the company story into a sequence of testable claims: technical novelty, data defensibility, customer need, regulatory boundary, measurable outcomes, scalable economics and an execution team.

CURRENT FUNDING RADAR · VERIFIED 11 SEP 2026

Separate immediate opportunities from future-stage capital.

Eligibility always depends on the applicant entity, TRL, ownership, project scope, state-aid position and call rules. The radar links to official sources instead of presenting funding as guaranteed.

OPEN / NEXT CUT-OFF

EIC Accelerator 2026

Scale-up funding for high-impact innovation. Next published full-proposal cut-off: 4 November 2026.

Potential fit if Disease Intelligence meets EIC technology, SME and readiness requirements.Official EIC source ↗
OPEN IN MALTA

Xjenza Malta P2M

Up to €30,000 to move from prototype toward MVP and early market traction. 2026 cut-offs include end of September.

Potential early-stage product/market-validation route subject to programme eligibility.Official Xjenza source ↗
OPEN / VERIFY AVAILABILITY

Digital Vouchers 2026

Data Readiness and Build vouchers can reach €20,000; TARF/MDIA Sandbox support can reach €25,000.

Useful for data readiness, API-standard data work and regulatory/sandbox preparation.Official Xjenza source ↗
UPCOMING 2027

EIC Pre-Accelerator

Malta is an eligible widening country. The 2027 call is planned for grants of €500k–€1m, opening 5 May 2027 with deadline 18 November 2027.

Potential route for an eligible deep-tech SME at approximately TRL 4–6.Official EIC source ↗
INVESTOR-GRADE STORY

What has to be true for Disease Intelligence to become globally defensible?

Not “we use AI.” The funding case should be built around a governed healthcare intelligence graph, verifiable capability data, evidence provenance, workflow distribution, interoperable infrastructure, network effects and proprietary aggregate insight.

Graph moatDisease ↔ capability ↔ institution ↔ evidence ↔ research ↔ access
Workflow moatRouting, referrals, verification, collections, signals and institutional operating workflows
Trust moatProvenance, freshness, conflicts, consent, permissions and auditability
Network moatPatients, physicians, hospitals, researchers, life sciences and public-sector participants increase utility for others