Safety Intelligence
Predict and prevent safety events before they happen. AI-powered analysis that surfaces hidden risks, identifies weak signals, and transforms your SMS from reactive to proactive.
AI-powered safety management
Exceedance Detection
Automated flight data monitoring with intelligent alerting. Detect unstable approaches, hard landings, and parameter exceedances in real-time.
Predictive Risk Scoring
AI models that analyze patterns across thousands of flights to predict risk by route, airport, crew combination, and conditions.
Weak Signal Detection
Surface emerging risks before they become incidents. Identify subtle patterns that human reviewers might miss.
Report Analysis
Natural language processing of voluntary safety reports. Sentiment analysis and automatic categorization of hazard reports.
Training Correlation
Link safety events to training gaps. Identify when additional training could have prevented an incident.
Investigation Workflow
Complete investigation management with AI-assisted root cause analysis. From initial report to corrective action closure.
Beyond an SMS. AI that hears the weak signals.
FlightAtom Safety reads every report, FDM event, and human-factor signal across your operation — surfacing the weak signals that precede incidents and prioritizing the open items that keep your SMS auditable and ahead of risk.
Reads every safety report and FDM exceedance
Parses free-text reports alongside structured FDM data. Clusters semantically similar events — even when reporters describe them differently — to find the recurring weak signal that one-off reports never surface on their own.
Tailored to your fleet, routes, and operational profile
Filters industry-wide trends through what's relevant to your operation. A runway excursion trend at narrow-body operators in tropical bases means more if that's your fleet — and the system tells you exactly why and where.
Forecasts where the next incident is most likely to emerge
Combines FDM trends, fatigue indicators, training drift, and reported events into a forward-looking risk index by route, fleet, and operation. Lets the safety team intervene upstream of the event chain — before the report has to be written.
Attention Required Across Safety
A live feed of items the AI has prioritized for your safety team — sample of what Safety surfaces every morning.
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Unstable approach trend at LIRF runway 16R — 11 events in 30 days, 4 from the same crew base. Investigation package staged.
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8 open Class-A reports past their 30-day investigation window — escalation routed to Head of Safety.
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GPWS pull-up events on B737-800 +180% vs. baseline — sensor calibration vs. real risk under review with engineering.
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Predictive risk index for next 14 days: short-haul European network elevated, long-haul stable.
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23 reports auto-clustered into 4 themes — saved 6 analyst-hours of manual triage this week.
Identify risks before they become incidents
Predictive safety intelligence that surfaces hidden patterns across your operation.
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