Interdisciplinary AI Research

Why Provenya’s Capabilities Are Relevant

Interdisciplinary AI research—spanning materials science, drug discovery, climate modelling, social sciences, and more—represents the frontline of European innovation. The Horizon Europe 2026–2027 programme invests approximately €90 million specifically in AI applications across scientific domains, while the broader programme allocates approximately 36% of its total funding to digital priorities. Yet research outputs routinely fail to commercialise because they lack the governance infrastructure needed for market entry.

The pattern is predictable: datasets lack consistent versioning and licensing; models lack evaluation evidence; code lacks reproducibility documentation; and IP contributions from multiple research partners are unclear. Provenya provides the “research-to-market governance layer” that resolves these barriers at the point where they matter most—before exploitation opportunities are lost.

Enhancing Commercial Value

• Technology transfer readiness: Research outputs with clear IP ownership, licensing terms, and compliance documentation are dramatically more attractive to technology transfer offices, investors, and industrial adopters
• Reproducibility as market signal: Products built on reproducible, provenance-backed research carry stronger credibility with buyers, regulators, and partners. Provenya’s provenance lab services embed this reproducibility from the start
• Exploitation plan credibility: EU evaluators increasingly scrutinise exploitation plans for realism and governance readiness. Provenya’s exploitation-focused approach creates proposals that score higher and deliver on their promises
• Spin-off and licensing revenue: Research groups that invest in IP governance and provenance infrastructure generate more licensing revenue and more successful spin-offs than those that treat governance as an afterthought

Go-to-Market Strategy

• Research governance-as-a-service: Offer universities and RTOs an embedded governance service that runs alongside their research programmes—providing IP management, compliance documentation, and provenance infrastructure as the project progresses, not retrospectively
• AI in Science partnerships: Target the 2026 “AI in Science” calls and the broader RAISE (Resource for AI Science in Europe) initiative, positioning as the governance and exploitation partner
• Exploitation sprints: Offer focused engagement packages that take existing research outputs and make them exploitation-ready—IP audit, licensing framework, compliance documentation, and investor-ready evidence packs

Strengthening EU Innovation at the Global Stage

Europe’s research ecosystem is world-class, but historically weak at converting research into commercial products. The Horizon Europe 2026–2027 programme explicitly addresses this gap, requiring “demonstrable business cases, industrial scalability, and pathways to market.” Provenya directly supports this ambition by providing the governance infrastructure that bridges the gap between laboratory innovation and market-ready deployment.