Sports Teams

Objective Data to Guide Every Critical Player Decision—From Screening to Full Return.

The Problem

The majority of movement assessments are subjective or rely on isolated metrics, creating a critical data void in diagnosis and treatment. Clinicians lack the objective, dynamic insights needed to identify hidden movement risk and validate full recovery. This gap forces reliance on guesswork, contributing to sub-optimal outcomes and driving up the cost of re-injury and chronic dysfunction.

What Makes Re-Injuries So Common?

Blind Spots in Testing
Most RTP decisions are made using only strength or hop tests, which miss deeper biomechanical flaws.
No Objective Benchmarks
87% of clinics do not use objective data to clear athletes—raising risk for second injuries.
Invisible Movement Flaws
Faulty landing mechanics and poor absorption aren’t visible to the eye—but they cause breakdowns.

Injury Risk by Rehab Type

Teams pour millions into performance and rehab—but still face 20–30% re-injury rates after ACL recovery. 

Quantum in Action

Return-to-Play Decisions
Track joint angles, landing control, and sprint mechanics over time using AI and IMUs.
Performance Screening
Run pre-season assessments to establish baselines and detect asymmetries before issues emerge.
Rehab Milestone Tracking
Quantify progress after ACL, hamstring, or Achilles rehab with side-by-side session playback.
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