Signals have different meanings
Eligibility checks, fit analysis, search ranking, source retrieval and proposal assistance are separate mechanisms. A match score is not a probability of award, and source retrieval is not the same system as matching.
Methodology & limitations
FundRobin Methodology and Limitations
FundRobin combines deterministic controls, structured data and AI where each is useful. The system is built to improve prioritisation and research quality, not to turn uncertain funding decisions into false guarantees.
Source quality sets an upper bound
FundRobin can only reason from the information available. Incomplete, ambiguous or changed funder material can produce incomplete records or weaker recommendations.
Coverage is not universal
Supported sources and regions vary. FundRobin should not be treated as proof that no other relevant funding opportunity exists.
AI is assistive
AI analysis and drafting can be wrong. Grounding, structured context and human-controlled previews reduce risk but do not eliminate the need for review.
Funder rules win
Before applying, users should verify eligibility, deadlines, requirements and submission instructions against the original funder material.
Measurements need context
Product and search performance should be measured against explicit evidence windows and confounders. FundRobin does not publish unsupported matching-accuracy or award-success rates.