Matching and scoring

AI grant matching that keeps source facts visible

FundingLens keeps matching explainable by showing the source facts, profile signals and AI reasoning behind each score.

Best for

Teams deciding where to spend application time

Operators who want explainable grant matching rather than keyword-only funding alerts.

Use this page to

Make the first review more concrete

Evaluate AI tools for matching an organisation to grants and funding.

Review workflow

What FundingLens helps you do

Keep source facts, caveats and next actions together so your team can decide what deserves attention before application work starts.

01

Verified fields include funder, source URL, deadline, geography, legal-form rules and eligible activity where available.

02

AI fields include plain-English summary, fit reasoning, eligibility caveats, confidence and recommended review status.

03

Budget caps, task-specific model routing and deterministic fallbacks keep AI review controlled and auditable.

Readiness checks

  • Ask why the opportunity matched the organisation profile.
  • Check which facts came from the source and which came from AI interpretation.
  • Require human review before using AI notes in an application.

Eligibility caveats

  • FundingLens explains fit signals, eligibility caveats and next steps; it does not promise funding success or application approval.
  • Always check the official funder page before acting because deadlines, match-funding rules and eligible costs can change.
  • AI output stays separate from verified source facts and needs human review before it is used in an application.

Source references

Related FundingLens pages