Performance and technique
Compare an athlete’s current movement with a personal baseline or reference clip. Examine consistency, coordination, and rhythm to support more focused coaching feedback.
All productsSports intelligence
Quantum Physical Intelligence / Understand
QuInMotion
Sports intelligence
from every frame.
Turn everyday game and training footage into a virtual movement laboratory. QuInMotion combines quantum and classical physics-based analysis with local video processing, helping coaches, performance teams, and sports scientists explore performance, condition, and health-related movement signals.
The intelligence
Interpretable movement and performance data from standard sports video.
An independent QuGradient product
Video captures the movement. Teams need the meaning.
A replay can show what happened without making changes in movement easy to measure. QuInMotion brings complementary analysis methods and detailed review controls together so teams can examine performance, condition, and rehabilitation-related signals more systematically.
Use objective movement measurements to inform performance, training, rehabilitation, and return-to-play decisions, while keeping sensitive footage under local control.
From a question
to a clearer decision.
A practical workflow, with the technical detail available when you need it.
- 1
Bring your footage
Start with standard game or training video, across sports and activities involving movement. Processing runs locally so sensitive footage stays on your computer.
- 2
Examine movement in detail
Compare original and processed footage, inspect frame-level measurements and charts over time, and review movement through six complementary analysis methods.
- 3
Build an evidence package
Manage analysis sessions and export structured CSV measurements and complete evidence packages for coaching, training evaluation, tactical review, and research.
Where it can help.
Coaches, performance teams, sports scientists, health specialists, and analysts.
Condition and training load
Review changes in movement intensity, symmetry, and patterns over time. Bring those observations into discussions about fatigue, training demands, and recovery.
Rehabilitation and progression
Track movement across sessions and share evidence with qualified staff. Session comparisons support review of progress toward an athlete’s baseline.
Six ways to understand movement.
Each analysis method reveals a different aspect of the same footage. Combine them to explore movement direction, intensity, rhythm, and spatial patterns.
Optical flow
Track how pixels move between frames to examine direction and speed. Explore changes of pace, movement consistency, player spacing, and coordinated team movement.
Motion energy
Measure changes in the image to study the intensity and distribution of movement. Compare repeated actions and explore differences in rhythm, symmetry, and movement patterns across sessions.
Event-based neuromorphic analysis
Focus on pixel-level brightness changes as events. This approach highlights fast and subtle changes in movement for closer inspection of sporting actions.
Texture and gradients
Read image patterns and changes along edges to explore posture, movement boundaries, and trajectories. Turn complex motion fields into more interpretable visual patterns.
Frequency analysis
Break movement over time into repeating patterns. Explore stride or stroke rhythm, consistency, symmetry, and fluctuations that are difficult to see in a single frame.
Shadow and illumination
Examine how lighting and shadows affect the image and movement interpretation. Explore spatial relationships, including defensive coverage and passing-lane questions.
The commercial relevance
A focused product.
A practical opportunity.
QuInMotion makes existing sports footage more useful across coaching, training evaluation, tactical review, and research. A sport-agnostic workflow can serve individual practitioners and performance organizations, with local processing suited to teams that need control over sensitive video.
Start with standard video, without requiring wearable sensors or specialist cameras for the video-analysis workflow. Six complementary analysis methods, synchronized comparisons, and structured exports support repeatable review, while local processing keeps sensitive footage under the team’s control.
Discuss partnerships or investmentFrom video review to repeatable analysis
QuInMotion combines original-versus-processed video comparison, frame-level measurements, temporal charts, session management, and structured exports. Its sport-agnostic approach starts with standard footage, without requiring wearable sensors or specialist cameras. Local, offline-first processing keeps sensitive footage under the user’s control.
An expanding analytical toolkit
The product vision includes force-velocity profiling, torque, joint angles, center-of-mass analysis, and deeper biomechanical interpretation. Some advanced energy-based capabilities are on the active development roadmap. Ask the team which capabilities fit your intended workflow. Measurements support professional expertise; they do not independently establish a diagnosis or readiness to return to play.
QuInMotion / Access
Start with
a conversation.
Share the sport, footage, or movement question you would like to explore. Ask the team about a walkthrough and current desktop access options.
The dedicated product website is not yet available. Contact QuGradient to learn more or discuss access.