In India, sports sponsorship budgets have historically been concentrated in a tiny tier of televised cricket—not because brands lack interest in badminton, football, athletics, tennis, boxing, or swimming, but because discovering and verifying emerging athletes across 25+ cities was manual and opaque.
The KIBI 3-Stage AI Brand Matchmaker turns weeks of agency scouting into a transparent, 60-second workflow across 90,000+ athletes verified through sports organisations and 100+ institutions.
Inside the 3-Stage Matching Funnel
Stage 1: Deterministic Rule & Geography Filtering
When a brand manager submits a campaign brief (target sport, target cities or states, audience tier from Nano to Mega, required deliverables, and budget band), Stage 1 filters only verified profiles whose competition history, location, and availability match the hard constraints.
Stage 2: Vector Embedding Semantic Alignment
Stage 2 compares vector embeddings of the brand's category—such as sports nutrition, hydration, footwear, recovery physiotherapy, fintech, or student edtech—against the athlete's discipline, competition level, and community profile.
Stage 3: LLM Fit Scoring & Deliverable Structuring
Stage 3 evaluates the top candidates to generate a human-readable rationale, composite match score, and recommended deliverable mix (social content, tournament appearances, academy clinics, or gear testing alongside our 257+ brand partners on shop.kibisports.com).
Try the live matchmaker at www.kibisports.com/matchmaker, explore Brand Collaborations, or contact our partnerships desk at sponsorship@kibisports.org / WhatsApp +91 99428 21584 (Operating Headquarters: 1st A Cross Road, 7th Block, Koramangala, Bengaluru, Karnataka 560095).
