AI scouting does not replace the scout: it makes them faster and fairer. Dribbly uses AI to rank talent, analyze video and estimate skills — always with the final call in human hands and every estimate clearly labeled.
Instead of filling in ten filters, you describe the player you want — "fast winger under 20, strong one-on-one" — and AI turns your query into hard filters plus semantic similarity. Each result comes with an explainable match reason, not a black box.
AI analyzes the athlete's real video, detects actions and derives a per-dimension skill score (technique, physical, decision-making). That score is always shown as an estimate, with its confidence level — never as an absolute fact.
We do not invent metrics. If the evidence falls short, the AI says so instead of filling the gap.
AI drafts scouting reports with strengths, weaknesses and comparables from real profile data. But any outbound send passes through a human who approves before sharing. That is Dribbly's inviolable HITL rule.
Agencies build shortlists faster with AI search and explainable reports, always with human review.
Request a demo and we will show you semantic search and reports.
Using AI to speed up talent discovery: semantic search, video analysis and estimated valuation. AI ranks and explains; the scout decides.
No. It is one of Dribbly's inviolable guardrails: zero data fabrication. Every estimate is labeled as an estimate, with its confidence level, and based only on real profile data.
Yes. AI only drafts; a human approves before any outbound send or external publication (HITL rule).