Ice Hockey Video Analysis Software for Performance Insights

Custom software is built around your footage, workflows, analytics goals, integrations, and ownership needs, while off-the-shelf platforms limit flexibility.

Yes, hockey-trained AI models can detect goals, shots, faceoffs, penalties, zone entries, hits, turnovers, and other events from relevant footage.

No, optical tracking can work from video feeds, though higher frame rates, stable angles, and multi-camera setups improve accuracy and coverage.

A proof of concept can start within weeks, while MVP and production timelines depend on features, integrations, footage quality, and deployment scale.

Yes, we integrate tracking outputs, clips, dashboards, and reports with existing video platforms, scouting systems, databases, APIs, and coaching workflows.

The system can automate Corsi, Fenwick, expected goals, possession metrics, zone time, shot maps, passing sequences, and player impact indicators.

Yes, Folio3 AI can build multi-team infrastructure with shared standards, separate permissions, centralized reporting, clip exchange, and secure data access.

Private hosting, encrypted data, role-based access, secure APIs, audit-friendly controls, and full ownership for data, models, and workflows come standard.

You can start with discovery, a fixed-scope POC, MVP build, engine licensing, or staff augmentation depending on your goals and readiness.