top of page

Scalability and Performance

  • Cloud Infrastructure: Hosted on AWS with regional failover and auto-scaling for high-availability claims processing

  • Performance Benchmarks:

    • Sub-second latency for real-time kinematic feedback

    • High-throughput data capture for large-scale insurer operations

    • Multi-user and multi-claimant session support in XR environments 

Interoperability and Integration

  • Open API/SDK Access: Comprehensive documentation enabling integration into existing insurer IT systems and claims management software

  • Modular Architecture: Facilitates adoption as a standalone claims assessment tool or as a fully integrated module in insurance claim workflows

Data Protection and Security

  • Encryption: AES-256 for data at rest; TLS 1.3 for data in transit

  • Access Control: Role-Based Access Control (RBAC) with multi-factor authentication for insurer and medical staff logins

  • Compliance: Built to align with GDPR, HIPAA, and local insurance regulatory frameworks (jurisdiction-dependent)

  • Audit Trail: Immutable data logs ensuring transparency and accountability in claim assessments

Software Stack

  • Operating System Support: Android, Windows, Linux (deployment-dependent).

  • Development Tools: Unity (primary), Blender, Maya for XR application development.

  • Middleware and SDKs: OpenXR, Meta SDK, and proprietary KineTrax APIs ensuring seamless hardware integration and standardized workflows for insurers.

pexels-karolina-grabowska-5207228.jpg

System Description

KineTrax is a mobile, location-independent XR-based measurement platform. It operates as a software digital goniometer: capturing, calculating, displaying, and exporting objective measurements of joint range of motion during physical examination. It runs in clinics, rehabilitation centres, IME facilities, occupational health programmes, and remote settings, with no fixed infrastructure required.

​

The platform combines certified AR/VR hardware, automated sensor integration, and secure cloud infrastructure to measure range of motion, movement velocity, and neuromotor control with documented repeatability. Every session produces a structured examination report in clinically recognised units, with a clear chain of evidence supporting serial comparison across assessments.

​

All outputs are reviewed and interpreted by the examining clinician. KineTrax measures and documents. It does not diagnose, assign impairment ratings, determine causation, or draw medico-legal conclusions. That boundary is structural, not a disclaimer.

Abstract Blue Light

Technical Overview

KineTrax is a mobile, location-independent XR-based movement measurement platform. It operates as a software digital goniometer, capturing, calculating, and exporting objective measurements of joint range of motion during physical examination. The system combines certified AR/VR hardware, advanced motion sensors, and secure cloud infrastructure to record 80 objective movement measurements per session. Output is a structured examination report: reproducible, standardised, and auditable, with a clear chain of evidence. All outputs are reviewed and interpreted by the examining clinician.

​

The platform requires no specialist infrastructure. It runs in clinics, IME facilities, occupational health settings, and remote environments on existing hardware. Assessments feed directly into clinical and claims workflows without manual data transfer.

​

Clinicians get a measurable, serial record of function — consistent across examiners, settings, and time points. For insurers and TPAs, that consistency is what makes the data useful: a structured measurement record is harder to dispute than a narrative clinical impression.

conny-schneider-xuTJZ7uD7PI-unsplash (1).jpg

Key Features

KineTrax is purpose-built for clinical environments where measurement consistency and audit integrity matter.

​

  • Objective movement measurement. AR/XR-driven capture of joint range of motion, movement velocity, and neuromotor control. 80 objective measurements per session, recorded in clinically recognised units.

  • Minimal setup. No specialist infrastructure required. The platform runs on readily available consumer hardware in clinics, IME facilities, occupational health settings, and remote environments.

  • Remote operation. Secure remote management of scheduling, session monitoring, and structured report export. No manual data transfer.

  • Multi-user design. Built for shared clinical environments, with hygiene protocols and per-session configuration supported by design.

  • Clinician-governed output. All examination reports are reviewed and interpreted by the examining clinician before use. The platform measures and documents. It does not diagnose, assign impairment ratings, or draw medico-legal conclusions.

System Components

AR/VR Hardware

Meta Quest 3, Meta Quest 3S, Pico 4 Ultra, HTC Vive, and other supported XR headsets for immersive, standardized claimant assessments.

Sensor Suite

Inertial Measurement Units (IMUs), BLE-enabled wearables, and motion capture technologies for precise kinematic data collection.

Headset Edit.png

Backend Infrastructure

Cloud-based architecture enabling real-time session management, analytics, and secure data exchange.

Real-time Ergonomic Analytics:

Cloud-based architecture enabling real-time session management, analytics, and secure data exchange.

bottom of page