IOWNIT turns physical activity into measurable, interactive progression.
Using AI-powered video validation and feedback, we help people, coaches, therapists, and organizations understand movement better — and improve it faster.
At its core, IOWNIT is about helping people build confidence in how they move and how they improve. We create tools that support training journeys that are safer, longer-lasting, and more effective.
IOWNIT is a movement intelligence layer that transforms a simple video into biomechanical analysis, performance scores, and personalised feedback. Built for sports, fitness, health, and interactive experiences, it helps platforms deliver measurable progress, stronger user confidence, and scalable movement insight.
Help athletes, coaches, and sports platforms turn training into measurable development with objective feedback, skill validation, and long-term progress tracking.
Use cases include player development, technique analysis, remote coaching, talent pathways and performance benchmarking.
Support safer movement with clearer assessment, recovery tracking, and feedback loops that help practitioners and patients monitor progress over time.
Use cases include Rehabilitation support, Movement screening, Prevention programs, Remote monitoring and Functional progress tracking.
Create interactive movement experiences that engage audiences in real time — from live activations to gamified challenges and motion-based digital experiences.
Use cases include Event activations, Interactive challenges, Avatar experiences, Branded campaigns and Creator-led participation formats.
Create mobile-first training experiences with video capture, feedback, scoring, and progress tracking built directly into the user journey.
Give coaches, practitioners, and teams clear visibility into performance, progress, and movement insights at scale.
Power operations, review workflows, content management, and quality control behind the scenes.
Launch browser-based movement experiences for onboarding, challenges, assessments, and interactive coaching flows.
Computer vision transforms movement video into objective analysis, performance scores, and personalised recommendations.
Designed with privacy and GDPR considerations in mind, so movement data can be handled responsibly and securely.
Works with simple video input and complements or replaces heavier setups like sensors, motion capture, and manual-only review.
Built as an API-ready SaaS layer that integrates into existing platforms and scales across sports, health, and interactive experiences.
The biggest gap we identified: lack of individual and objective feedback on performance. IOWNIT helps us close this gap.
I want to know whether I’m actually doing it right. Not just complete the drill, but understand my progress and where I can improve.
The biggest gap we identified: lack of individual and objective feedback on performance. IOWNIT helps us close this gap.
I want to know whether I’m actually doing it right. Not just complete the drill, but understand my progress and where I can improve.
Until IOWNIT, coaches lacked tools to verify proper execution of programs (form, posture, consistency).
When progress becomes visible, training feels more motivating. You get confirmation that the work is paying off.
There’s real value in making movement quality easier to assess over time, especially when the goal is safer progression and fewer blind spots.
It has become clear that when you film people doing things only then do they realize what they are doing wrong.
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IOWNIT brings together experience in computer vision, product design, engineering, and scientific insight to build the future of measurable movement.
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