From messy grant search to a decision-ready shortlist.
RubixScout turns your project description into structured funding context, searches active grant data, ranks realistic matches, and helps you decide which opportunities deserve your time.
Four steps from prompt to application plan.
Tell RubixScout what you are building
Describe the applicant, country, sector, stage, funding need, and what you want to avoid. The prompt becomes structured search context instead of a loose keyword search.
The database is filtered before AI touches it
RubixScout checks region, status, deadline, themes, applicant type, and eligibility notes first. Bad listings, expired grants, and obvious mismatches are pushed down or removed.
AI reviews the shortlist like a grant analyst
The agent explains why each opportunity matched, what evidence supports the fit, and what risks still need source verification.
Turn a match into action
Unlock qualification, research, prep, and draft views to move from ‘interesting grant’ to a practical application plan.
Less searching. More deciding.
The product is designed around the real user question: “Should I spend time applying for this?” That means the result page focuses on fit, blockers, source confidence, and next steps.
Better matches before more features.
The current iteration prioritizes search quality, eligibility signals, email capture, and funnel analytics. New features only matter if the shortlist is worth trusting.