Fatigue Intelligence Group delivers AI-driven fatigue risk assessment, predictive workforce monitoring, and real-time safety intelligence helping organisations prevent fatigue-related incidents before they occur.
Workforce fatigue is the hidden epidemic draining productivity, causing accidents, and costing lives. Most organisations detect fatigue too late after the incident has already occurred. Fatigue Intelligence Group changes that with predictive, real-time intelligence.
Fatigue Intelligence Group combines real-time biometric data, AI predictive modelling, and regulatory compliance intelligence into a unified platform that keeps your workforce safe shift by shift, role by role.
AI models continuously assess individual and team fatigue risk using shift patterns, biometric inputs, and historical data to predict dangerous fatigue states before they occur.
Analyses workforce incidents, near-misses, and safety events to trace root causes to fatigue factors enabling corrective scheduling before the next shift begins.
Automatically checks every shift against Working Time Regulations, sector-specific rest requirements, and internal fatigue policies flagging breaches in real time.
Fatigue Intelligence Group was founded on a clear premise: the UK's safety and workforce management systems are reactive. Incidents are investigated after they occur. Fatigue is identified after the shift ends. The cost in human lives, regulatory penalties, and lost productivity is enormous and largely preventable.
Our platform transforms fatigue risk management from a paper-based, post-incident practice into a governed, real-time intelligence system. We don't just monitor shift hours we model the neurological and physiological signature of fatigue at an individual and team level, providing the early warning intelligence that allows managers to intervene before risk becomes reality.
Built by supply chain, logistics, and safety professionals, Fatigue Intelligence Group encodes operational expertise into a SaaS platform built specifically for the UK's high-risk sectors: logistics, healthcare, manufacturing, construction, and transport.
A results-driven operations professional with an MBA in Logistics & Supply Chain Management from the University of the West of Scotland, and hands-on experience leading warehouse and logistics teams at Amazon and across the FMCG sector. Jia brings a unique combination of academic rigour and operational frontline expertise to the challenge of fatigue risk in high-intensity workplaces.
His experience managing late-shift warehouse teams, achieving 100% OTIF and zero lost-time incidents at Amazon through structured health & safety leadership, directly informs Fatigue Intelligence Group's approach building the kind of predictive, data-driven fatigue intelligence that operational managers actually need, not just what compliance teams require.
Fatigue Intelligence Group is building its core team through a phased, revenue-linked strategy: a Full-Stack Engineer to accelerate the SaaS platform and biometric API integrations; a Senior Data Scientist to refine the Fatigue Risk Scoring models; and Customer Success Leads to manage onboarding across UK logistics and healthcare hubs in London, Manchester, and Birmingham.
All hires are UK-based, aligned with the Government's Workforce Safety and Digital Health agendas. By Year 5, the platform targets 20+ UK jobs across technical development, operations, and global commercial functions.
Fatigue Intelligence Group is a cloud-native SaaS platform built on a modular architecture real-time dashboards, biometric API integration, proprietary fatigue risk data model, and UK GDPR-compliant infrastructure designed to serve high-risk UK sectors without requiring in-house safety data science teams.

Machine learning models that calculate a real-time Fatigue Risk Score for every worker on shift factoring in sleep patterns, shift length, circadian phase, workload intensity, and historical incident data.

Automatically diagnoses high-risk shift patterns excessive consecutive nights, insufficient rest windows, and dangerous shift rotation sequences before rotas are published.

Integrates with wearable devices, access control systems, and telematics to enrich the fatigue risk model with objective physiological data heart rate variability, reaction time, and alertness indicators.

Automatically checks every shift and rota against Working Time Regulations, sector-specific rest requirements, and internal fatigue policies flagging breaches before they become liabilities.

A federated learning architecture enabling anonymised fatigue risk data from thousands of UK organisations to continuously improve predictive models without sharing sensitive workforce data.

Virtually reconstructs shift conditions at the time of any incident to determine the fatigue contribution providing legally defensible root cause analysis for HSE investigations, insurance claims, and internal reviews.
The UK presents a structurally underserved market for intelligent fatigue risk management. With over 200,000 UK businesses in high-risk sectors logistics, healthcare, manufacturing, construction and no comprehensive AI-powered fatigue intelligence platform at SME pricing, the demand is both urgent and commercially validated.
Three subscription tiers designed to scale with your organisation's workforce complexity from basic fatigue monitoring to full predictive intelligence and forensic governance. All plans include real-time dashboards, WTR compliance checking, and UK GDPR-compliant data architecture. No in-house safety scientists required.
For SMEs beginning their fatigue risk journey structured monitoring and WTR compliance without complexity.
For logistics, manufacturing, and healthcare employers requiring predictive fatigue intelligence and biometric integration.
For multi-site organisations, NHS Trusts, and large logistics networks requiring full forensic governance and sector benchmarking.
Fatigue Intelligence Group ingests your existing shift patterns, rotas, and incident history to establish a comprehensive fatigue risk baseline for your organisation. No manual data entry. No disruption to existing systems.
The Assessment phase surfaces the hidden cost of unmanaged fatigue giving you a precise, data-driven view of your current safety posture before a single schedule is changed.
The Monitoring Engine constructs a live fatigue risk map of every active shift in your organisation from role to individual highlighting workers approaching dangerous fatigue thresholds in real time, with automated manager alerts.
Think of it as a safety X-ray for your workforce: objective, continuous, and actionable. Every shift is scored for fatigue risk before, during, and after.
The AI Fatigue Risk Engine uses historical patterns, biometric inputs, and shift data to predict dangerous fatigue states 24–72 hours in advance giving managers time to intervene before risk becomes reality.
When a high-performing worker begins showing the early fatigue signature of an at-risk incident, Fatigue Intelligence Group captures and codifies that signal enabling proactive intervention, not reactive investigation.
Fatigue-triggered workflow automation converts a high-risk alert into a structured intervention sequence automatically recommended rest breaks, shift reassignment suggestions, and manager escalation without requiring manual coordination.
The platform deploys intelligent scheduling guidance across your operations ensuring every shift decision follows the proven safe scheduling logic, regardless of who is managing the rota.
The Compliance Automation Engine watches every active shift for WTR breaches, insufficient rest periods, and excessive consecutive nights alerting you before a regulatory breach, not after the HSE inspector arrives.
Every shift interaction is logged with a high-fidelity audit trail, generating compliance-ready reports aligned with HSE fatigue guidance and ISO 45003. Replaces the 76% manual compliance checking overhead with automated governance.
The Outcome-Learning Safety Memory closes the loop linking every fatigue intervention to incident outcomes and automatically prioritising the risk management patterns that deliver the highest safety returns. Your platform gets smarter with every shift.
The Sector Benchmarking Network further enriches your models with anonymised benchmarks from thousands of UK organisations ensuring your fatigue intelligence stays ahead of the risk curve as working patterns evolve.
Platform activation, shift data ingestion, HR system integration, and secure fatigue risk configuration. Zero downtime to existing operations.
Live monitoring begins. Your fatigue risk baseline is established, individual risk profiles are created, and your Workforce Safety Score is calculated.
Predictive models are calibrated to your workforce. Automated intervention workflows are activated. Managers begin receiving 72-hour advance fatigue alerts.
Full compliance automation is live. HSE-ready audit reports are generated. The platform begins its continuous learning cycle getting smarter with every shift.
Got questions about how Fatigue Intelligence Group works, what sectors we serve, or how we handle sensitive workforce data? We've answered the most common ones below.
As founder and CEO, Jia personally leads every pilot onboarding and is available to walk through the platform, answer technical questions, or explore whether Fatigue Intelligence Group is the right fit for your organisation. No sales team. No automated sequences. Just a direct conversation with the person who built it.
Ready to see how Fatigue Intelligence Group can protect your workforce, reduce incidents, and automate your compliance obligations? Book a live platform demo and discover how predictive fatigue intelligence transforms your safety operations.
Request a live platform walkthrough and discover how Fatigue Intelligence Group can transform reactive safety management into a permanent, evidence-based Workforce Safety Intelligence asset reducing incident risk, ensuring regulatory compliance, and delivering quantifiable ROI.