Building AI systems that understand movement in the real world.
Intellimotion develops applied AI platforms that turn raw sensing signals into meaningful real-time intelligence. We build end-to-end systems that combine computer vision, audio analytics, app development, and hardware-software integration to solve practical problems across fitness, health, safety, and mobility.
Our work is not limited to model development. We design complete experiences — from sensing and algorithms to user-facing applications that can coach, analyse, and support better decisions in real environments.
AI GYM PAL
A real-time AI training system that monitors movement, range of motion, tempo, fatigue, heart rate, and progress — while coaching the user during the workout.
Capabilities and Services
Motion-aware systems that combine biomechanical understanding, physiological context, and intelligent feedback to improve exercise quality, engagement, and measurable progression.
Real-time monitoring solutions for transport environments using multi-modal sensing to detect events, understand movement patterns, and support operational awareness.
End-to-end development tailored to real operational needs: data strategy, model development, validation, deployment pipelines, and usable system design.
Integrated engineering across embedded sensing, edge compute, robust software architecture, and deployment-oriented implementation.
Mobile experiences built not just to demonstrate AI, but to deliver it in a practical, intuitive, and engaging form for real users.
Main Technical Capabilities
Human pose estimation, tracking, measurement, and behaviour understanding pipelines designed for real-time feedback and deployable performance.
Noise-robust acoustic analysis for environments where sound carries critical contextual information or complements visual sensing.
iOS-first product engineering, user experience design, performance optimisation, and integration with sensors, wearables, and intelligent backends.
Sensor selection, edge-compute integration, and system-level engineering for real-world robustness and practical deployment.
Maintainable, scalable implementations that support long-term product growth instead of one-off technical demos.