Custom sports AI agents for athlete performance, real-time game intelligence, fan engagement, scouting, and sports operations. Purpose-built for your data. Integrated with your systems.
Generic AI tools are built for general problems. Custom sports AI agents are built for yours, trained on xG models, GPS load data, and the specific context your sport runs on.
Generic agents are built on text and structured business data. They do not understand TrackMan outputs, Catapult GPS streams, Hudl video metadata, or Sportradar event feeds. They need to be told what a set piece is.
Custom sports AI agents are built with your data schema in scope. They ingest raw wearable streams, video metadata, and live event feeds natively, with no manual translation layer.
Off-the-shelf tools process data in batch. A coaching decision that needs to happen at halftime cannot wait for a nightly pipeline to run.
Custom agents connect directly to live game feeds via Sportradar, Stats Perform, or proprietary APIs, reason over live data, and deliver outputs within your decision window.
Single-task bots answer one question at a time. Ask a generic agent whether to sub a player and it gives you a fitness score. It does not know the scoreline, the opponent's shape, or your tactical setup.
Custom agents reason across multiple data sources simultaneously: biometrics, video, historical match data, and opponent scouting, and surface a decision with the context that produced it.
Off-the-shelf tools generate reports. They do not push outputs into your video review platform, your coaching dashboard, or your scouting database.
Custom sports AI agents are built with write access to your existing systems. Coaching platforms, recruitment databases, broadcast tools, the output lands where decisions get made.
Each agent is built for one workflow. The use case, data sources, and integrations are defined before any code is written. Eight categories, covering professional teams, academies, and sports organizations.
Tracks workload trends against injury baselines and flags players approaching threshold before tissue stress accumulates. Medical staff review flags, not raw squad data.
Processes live match feeds and positional data to surface set piece vulnerabilities, pressing triggers, and transition patterns during the match, not after it.
A chatbot answers questions. A custom sports AI agent perceives data, reasons across it, and takes action inside your existing coaching, scouting, or broadcast workflows.
Get Sports AI Agent For Your DomainAgents connect to Sportradar, Catapult, STATSports, Hawkeye, and custom video pipelines. Data is processed as it arrives, not queued for a batch run.
A single output draws from three to five sources at once. An injury flag combines GPS load, HRV trends, injury history, and match schedule, with the reasoning and thresholds visible.
When a predefined condition is met, the agent acts, routes the output, logs the action, and queues the next step. Human review happens at designated checkpoints, not at every data point.
Outputs land in Hudl, Catapult, Wyscout, or your internal platform. Workflow integration is scoped in discovery and built in, not bolted on after launch.
-36b07369-9d14-4b30-9990-39b0ac122e40.png&w=1920&q=90)
Sports AI projects stall for the same reasons every time: access to the right data sources gets resolved late, real-time integration complexity surfaces after the agent is built, and coaching staff adoption fails because the output does not fit their workflow. This process addresses all three before build begins.
Inventory every data source, wearables, video feeds, third-party APIs, internal databases, and assess data quality, latency, and access constraints. Gaps discovered here are scoped into the build plan. The same gaps discovered during testing cost three to four times as long to fix.
Design agent architecture, select LLMs and computer vision models, build RAG pipelines over your match archives and scouting reports, and run structured evaluation frameworks against real sports scenarios. We test edge cases, missing data, mid-game feed drops, outlier athlete readings, before the agent sees a live environment.
Connect the agent to your live data feeds, coaching platforms, and destination systems. Pilot runs with a subset of real data, real users, and human-in-the-loop review at defined checkpoints. Production rollout follows a performance review against the KPIs set in step one.
Post-deployment dashboards track agent accuracy, data feed reliability, and workflow adoption. Drift detection runs on model outputs as new season data accumulates. Monthly eval cycles and retrieval optimization keep the agent performant as rosters, tactics, and data formats change.
Production deployments across football, basketball, cricket, soccer, lacrosse, and esports. Real delivery experience, not reference architectures.
Player tracking, pose estimation, and formation recognition built in-house. CV pipelines shipped for broadcast and coaching platforms across multiple sports.
Every agent on this page has been built and deployed. Case studies available on request under NDA.
Book a 45-minute discovery call with a Folio3 sports AI architect. We will review your target workflow, your data environment, your integration requirements, and your timeline, and give you a straight answer on what is buildable, what it costs, and the fastest path to a working agent in production.
Let's Build Your Custom Sports AI Agent
Queries external and internal databases against defined criteria, ranks candidates by fit score, and produces structured player reports. Scouts evaluate shortlists, not build them.
Ingests GPS, heart rate, sleep, and training data to build individual readiness profiles. Coaches see a daily status per player with the data behind it, not a generic risk label.
Personalizes in-app content, notifications, and matchday experiences based on fan behavior and purchase history. Increases session depth and drives conversion without manual segmentation.
Generates real-time stat overlays, match summaries, highlight metadata, and commentary drafts from live event feeds. Broadcast teams spend less time on manual data work, more on production.
Monitors brand exposure across broadcast, social, and stadium feeds, calculates impression value by placement, and delivers structured performance reports without waiting on third-party audits.
Handles scheduling, travel, facility allocation, and equipment inventory across a season calendar. Flags conflicts, optimizes resources, and surfaces only the decisions that need human sign-off.
Built for your sport, your data, and your workflows. We start with your situation, not a template.
Strategy, engineering, integration, and monitoring in one team. We own the outcome from scoping to production launch.
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
of Experience In the AI Domain
Delivered Worldwide
Client Satisfaction
Founded
Response Guaranteed
+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
