Building AI systems that understand movement.

Intellimotion develops applied AI solutions that connect real-world sensing (video, audio, and devices) to actionable intelligence. We deliver end-to-end engineering—from algorithms and software to deployment-ready mobile applications and integrated hardware.

Computer Vision
Audio Analytics
iOS App Development
Edge AI
Hardware + Software Co-Design
Patent Pending
AI GYM PAL app preview (tap to open details)

AI GYM PAL

A computer-vision fitness training assistant designed to analyse form, count reps, estimate joint angles, and deliver real-time coaching insights. Built for iOS with Apple-native architecture.

Open app page See screenshots

Capabilities and Services

1) iOS App Development — AI GYM PAL

Product-grade iOS development from prototyping to scalable production builds, with a focus on performance, usability, and privacy-aware design.

2) AI-Driven Physiotherapy Systems

Motion-aware rehabilitation solutions combining biomechanical metrics with intelligent feedback to support adherence and clinician-friendly reporting.

3) Traffic Monitoring Systems (Video & Audio)

Real-time monitoring for road environments using multi-sensor analytics to detect events, understand flow patterns, and support operational safety.

4) AI-Based Solutions (Custom R&D)

Applied AI development tailored to operational needs: data strategy, model development, evaluation, and deployment pipelines with measurable outcomes.

5) Hardware and Software Design

End-to-end engineering spanning embedded sensing, edge compute, integration, and robust software implementation for real-world constraints.

Main Technical Capabilities

1) Computer Vision

Human pose estimation, detection, tracking, and measurement pipelines optimised for accuracy, latency, and edge deployment when required.

2) Audio Signal Processing

Acoustic event detection and noise-robust analytics—useful when vision is degraded or when audio provides complementary cues.

3) App Development

iOS-first product engineering, UI/UX, performance optimisation, and system integration (sensors, wearables, and data pipelines).

4) Hardware Design

Sensor selection and integration, edge compute design, and reliability considerations for deployment-ready systems.

5) Software Design and Implementation

Robust architecture and maintainable implementations suitable for long-term product iteration and scaling.

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