Gemini Sports AI provides a mobile‑first, cloud‑based platform that consolidates player statistics, scouting reports, contract details and risk alerts into a single searchable hub. The tool offers real‑time synchronization and a scenario engine that lets front‑office staff model roster configurations against budget and performance criteria, while collaborative watchlists enable shared evaluation across the organization.
Funding
Funding not disclosed
Founders
Product
Problem
Sports front offices often rely on disparate data sources and manual workflows to evaluate players and construct rosters, leading to delayed decisions, inconsistent insights, and difficulty comparing “what‑if” scenarios across multiple attributes.
Solution
Gemini Sports AI delivers a mobile‑first platform that aggregates player statistics, scouting notes, pricing data, and risk indicators into a single, cloud‑based repository. The application provides real‑time synchronization so users always work with the latest information without waiting for dashboard updates. Built‑in scenario modeling lets users adjust positional profiles, budget constraints, and performance metrics to instantly compare alternative roster configurations. Collaborative watchlists and shared insights enable the entire front office to align on targets and make data‑driven acquisition decisions quickly and consistently.
Target Audience
The primary customers are professional sports teams’ front‑office personnel—including general managers, scouts, and analytics departments—who need a centralized, collaborative tool for roster planning and player evaluation.
Features
- Unified data hub that consolidates stats, scouting reports, contract values, and red‑flag alerts in one searchable interface
- Mobile‑optimized UI with offline support, allowing front‑office staff to access and edit data from any device
- Real‑time cloud sync and plug‑and‑play architecture that eliminates manual data imports and ensures all users see up‑to‑date information
- “What‑if” scenario engine that recalculates player fit based on customizable performance metrics, price points, and positional models
- Watchlist creation and sharing tools for rapid distribution of target lists and evaluation notes across the organization
- Contextual intelligence layer that surfaces relevant market trends, injury histories, and eligibility constraints alongside player profiles
- Role‑based access controls and audit logs to maintain data security and compliance within the front‑office workflow