Koralae Knowledge valorisation
Research opens up opportunities that too often remain beyond reach. Koralae brings scientific and technological knowledge closer to the needs it could address, and to the people and decisions that can turn potential into application.
Discover our approachThe case for change
Scientific knowledge does not reach practical use through discovery alone. Beyond its original context, it must be interpreted, tested against real needs and carried through decisions involving evidence, people and intellectual assets.
Our approach
Scientific capabilities, research evidence and real-world needs rarely align on their own. Turning knowledge into a credible basis for application calls for interpretation, careful evaluation and decisions that remain connected to their evidence. Koralae brings these demands into a more coherent way of working.
The important question is not only what the knowledge suggests, but what would make its application credible.
Platform
The Koralae platform provides a connected working environment for knowledge valorisation. It brings research results, technological capabilities, potential applications, evidence and the people developing them into a shared context.
From initial assessment through subsequent decisions and review, teams can advance their work without repeatedly reconstructing the reasoning behind earlier decisions.
Examine research results and technological capabilities alongside unmet needs. Identify applications worth investigating, whether the starting point is available knowledge or a challenge seeking a response.
Build the case for an application. Examine technical readiness, evidence of need and practical feasibility, while bringing ownership, protection, rights and unresolved questions into the same assessment.
Consider how an application could move forward. Collaboration, licensing, venture creation and direct adoption can each be relevant, sometimes together or in succession. The choices depend on rights, partners, resources and the intended form of use.
Follow the evidence from validation, transfer and use. Review progress against the original assumptions, understand what outcomes reveal and decide whether to continue, adapt, revisit or conclude a route.
LEARNING INFORMS THE NEXT ASSESSMENTNew evidence and outcomes remain linked to the earlier decisions they inform.
Scientific knowledge is distributed across disciplines, institutions and systems, often with different meanings, incomplete evidence and restricted access. Koralae combines semantic models, evidence-grounded reasoning, governed AI orchestration and policy-aware access into a specialised architecture designed to retain context, make conclusions examinable and keep organisations in control of their information.
Connect heterogeneous knowledge without losing its context or provenance.
Examine propositions against evidence, constraints and uncertainty.
Coordinate specialised tasks with permissions, oversight and traceability.
Work across authorised sources without relinquishing institutional control.
Research results, data, technologies, expertise and needs are described in different languages and formats. Semantic models, knowledge graphs and entity resolution make those connections explicit while preserving provenance and the distinctions essential to interpretation.
Neuro-symbolic approaches combine learned representations with structured knowledge and explicit constraints. They provide a basis for examining propositions against available evidence, distinguishing inference from established fact and making contradictions and uncertainty open to review.
Agentic workflows can extend analysis across sources and specialised tasks. Defined permissions, traceable actions and appropriate review points allow that work to be coordinated while keeping responsibility for consequential decisions explicit.
Knowledge relevant to an application may be distributed across organisations and subject to confidentiality. Policy-aware access, federated retrieval and privacy-enhancing methods offer ways to work across those boundaries without assuming unrestricted sharing or centralised ownership.
Knowledge valorisation depends on people who can challenge assumptions, build partnerships, negotiate conditions and decide where effort will have the greatest effect. Better intelligence extends the range of possibilities those teams can examine and strengthens the evidence on which they act.
Koralae is an independent technology company based in Bizkaia. Its founding team combines expertise in applied artificial intelligence and software engineering with experience in product strategy, entrepreneurship and innovation. Incubated at DeustoKabi in Bilbao, Koralae receives support from the University of Deusto through Deusto Entrepreneurship and works with a European outlook on research and innovation.
Whether you work with research, face a complex challenge or support an innovation ecosystem, we would welcome a conversation about what knowledge could make possible.
Let's talk
