Topic retrieval
Weighted text matching and a local European-funding ontology identify relevant calls even when the wording is not identical.
Search beyond keywords. The local matching model compares your project with active calls using topic relevance, organisation type, country, consortium route, funding amount, maturity and preparation time.
The finder deliberately separates thematic relevance from practical application constraints.
Weighted text matching and a local European-funding ontology identify relevant calls even when the wording is not identical.
Organisation type, country and likely participation route are compared with the fields available in each verified record.
Consortium size, project contribution, maturity and days remaining are used to penalise unrealistic matches.
Each result shows why it ranked, what remains uncertain and which official condition should be checked next.
A preview of currently active records. Use the project matcher for ranked recommendations.
Eureka
Eureka
Funding and investments through the EIC Fund for individual start-ups and small companies to develop and scale up game changing innovations
EIC funding opportunities
Eureka
Eureka
The finder does not generate missing eligibility rules. Unknown applicant, consortium, budget or TRL information is shown as a verification risk rather than silently assumed.
Review all verified callsUse CyberAI’s Call Campaign and collaboration routes to organise the opportunity, required expertise and partner roles.