See the patterns before the next incident
CalibrAIte's AI analyses your incident data across dozens of dimensions to identify patterns, predict risk, and benchmark performance — turning reactive safety into proactive prevention.
Request a demoAI-powered pattern detection
CalibrAIte analyses every incident across multiple dimensions simultaneously, finding correlations that humans would miss.
Time of day
Identify when incidents cluster — early morning fatigue, afternoon heat stress, or shift-change handover gaps. CalibrAIte maps every incident to the 24-hour cycle and highlights statistical anomalies.
Shift patterns
Compare safety performance across day shift, night shift, and swing shift rotations. Track how fatigue accumulation across a roster cycle correlates with incident frequency.
Location mapping
Pinpoint which areas of your site generate the most incidents — specific pit zones, processing areas, workshops, or haul roads. Overlay with equipment and personnel data for deeper insight.
Equipment type
Track incident patterns by equipment class — haul trucks, excavators, drills, conveyors. Identify whether specific makes, models, or age groups are over-represented in incident data.
Weather conditions
Correlate incident data with weather patterns — heat events, rain, wind, dust storms. Build predictive models for high-risk weather windows specific to your site.
Personnel factors
Analyse incident rates by experience level, training recency, contractor vs. employee status, and time since last break. All de-identified and aggregated for privacy.
Flag risk before incidents occur
Move from reactive incident response to proactive risk prevention with AI-driven predictive models.
Leading indicator monitoring
Track near-miss ratios, hazard report volumes, inspection findings, and training completion rates. CalibrAIte alerts you when leading indicators suggest elevated risk before an incident occurs.
Seasonal risk forecasting
Using historical data from your site and industry benchmarks, CalibrAIte forecasts risk periods — monsoon season flooding, summer heat stress, winter visibility — and recommends preventive actions.
Fatigue risk modelling
Roster patterns are analysed against fatigue science models to identify when cumulative fatigue reaches dangerous levels. Alerts are generated before workers reach high-risk thresholds.
Equipment failure prediction
By correlating maintenance records with incident data, CalibrAIte identifies equipment that's approaching failure-related incident risk and recommends preventive maintenance scheduling.
Behavioural pattern detection
Aggregated, de-identified behavioural data reveals systemic issues — skipped pre-start checks, shortcut routes, PPE non-compliance patterns — before they cause incidents.
Compare performance across operations
Fair, normalised comparisons across your sites, contractors, and industry peers.
Multi-site comparison
If you operate multiple sites, CalibrAIte normalises incident data by hours worked, headcount, and operation type for fair comparison. Identify which sites are leading and which need support.
Industry benchmarking
Compare your safety performance against anonymised industry averages for your commodity type, operation size, and region. Know where you stand and where you can improve.
Contractor comparison
Track and compare safety performance across your contractor base. Identify high-performing contractors and those needing additional support or oversight.
Year-on-year tracking
Longitudinal analysis shows whether your safety investment is paying off. Track improvements across all key metrics with statistical significance testing.
Metrics that matter
Real-time dashboards with the KPIs your safety team, executives, and regulators care about most.
Lost Time Injury frequency rate calculated per million hours worked, with 12-month rolling average and trend line.
Total Recordable Injury Frequency Rate with breakdown by injury type and severity classification.
Near-miss reporting rate as a leading indicator, tracked against incident frequency to validate reporting culture.
Real-time compliance score with breakdown by regulation category and trend over time.
Average time from incident to report, report to investigation, investigation to corrective action, and action to closure.
Percentage of identified hazards resolved within target timeframes, with ageing analysis for overdue items.
Percentage of workforce with current training and certifications, with forecasting for upcoming expiries.
Scheduled vs. completed inspections with analysis of findings severity and close-out rates.
Turn your data into prevention
See how CalibrAIte's trend analysis can help you predict and prevent incidents before they happen.
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