The RynkIQ approach
One connected workflow, from the film you record to the conversation that changes the next shift.
Read the game
Computer vision detects skaters and calibrates the rink to translate visible action into positional information. Broadcast, fixed and automated cameras present different challenges; suitability is assessed per game.
Keep the context
The coach’s confirmed system provides a reference for support, structure and coverage. Identity, possession and calibration carry their own confidence limits.
Review the evidence
Film-linked review connects a positional observation to the play behind it. Observed movement, system expectations and modelled outcomes are kept distinct.
Develop the player
Bring the moment to a player review, a practice discussion or an agent’s evaluation. The aim is a useful next action, not another dashboard to watch.
Two brains. One workflow.
The architecture separates a local vision pipeline from deeper analysis of a compact data envelope. The goal is to move structured evidence, rather than upload raw game film for every analytical step.
Pilot deployment and data handling are agreed with each program. Local operation and identity coverage are still being refined.
Detection · calibration · identity tiers
System rules · positional review · reports
The next shift starts here
Bring your questions. We’ll bring the film.
Explore RynkIQ with the people building it.
