Pain points: • There are a large number of funding calls from different organizations around the world. • Each grant has its own eligibility criteria, research scope, and specific requirements. • Researchers find it difficult to keep track of all available opportunities and assess which grants truly align with their current capabilities.

Solution: • Build an AI system that understands the research capabilities of the institute or VinUni as a whole based on information such as: o Publications o Faculty profiles o Current projects o Equipment o Datasets o Patents o Previous grants

• The system continuously monitors funding calls and calculates their level of alignment with VinUni’s capabilities. • When a grant exceeds a predefined threshold, for example, a match score >80%, the system automatically sends a notification. • The AI also identifies: o Why the grant is a good fit. o Which faculty members/labs should participate. o Which capabilities are currently missing. o Example: “This grant has an 82% match score, but the current team lacks capability in spatial transcriptomics.”