Ask Your Autonomous System What Happened
Investigate behaviour in plain language. Sybrotix surfaces likely contributing factors, the evidence behind them, and a measure of confidence — so engineering teams move from data to answer in minutes, not days.
The hardest part isn't the data. It's the question.
When a vehicle behaves in a way no one expected, teams shouldn't have to scrub through raw logs for hours to reconstruct what happened. The answer is usually somewhere in the data — it just isn't easy to find.
Sybrotix lets engineers investigate behaviour conversationally. Ask a question, and it surfaces the likely contributing factors, the evidence behind them, and how confident it is — every step traceable.
The Core Idea
More than detection
Detecting that something went wrong is only the beginning. Sybrotix helps engineers understand what may have contributed to it, which signals are involved, and what is worth investigating next.
Instead of leaving teams to manually cross-reference state estimates, control commands, and sensor data, Sybrotix connects those signals and presents them with the evidence behind each finding.
Detect
Abnormal and previously unseen behaviour
Explain
Likely contributing factors and root cause
Verify
Evidence and confidence on every finding
Report
Structured engineering reports on demand
Example Investigation
See how it works in practice
Engineer
What caused the altitude deviation at 14:32?
Sybrotix
The deviation is most likely explained by:
- Sensor fusion mismatch
- Unmodelled wind gust
- Delayed estimator correction
Each factor is shown with its supporting evidence and a confidence measure, so you can verify the reasoning.
Supporting evidence · 86% confidence
Findings are presented with evidence and confidence to assist engineering judgment. The decision always remains with your team.
Supported Interactions
Questions engineers can ask Sybrotix
What caused the altitude deviation at 14:32?
Has this behaviour appeared anywhere else in the fleet?
What changed in the moments before the anomaly?
How confident are you in this explanation?
What evidence supports this finding?
What operational risk does this carry?
Summarise this run as an engineering report.
Signals Reviewed
The evidence Sybrotix draws on
The exact signals depend on your platform and the data you collect. Sybrotix adapts to the normal behaviour of your specific system.
Investigation Flow
From anomaly to engineering report
Anomaly surfaces
Sybrotix flags an abnormal or previously unseen event in the operational data.
Engineer asks why
The engineer asks, in plain language, what may have caused the behaviour.
Evidence is traced
Sybrotix connects signals across the system and surfaces the supporting evidence.
Report is generated
The finding, evidence, and confidence become a structured engineering report.
Anomaly surfaces
Sybrotix flags an abnormal or previously unseen event in the operational data.
Engineer asks why
The engineer asks, in plain language, what may have caused the behaviour.
Evidence is traced
Sybrotix connects signals across the system and surfaces the supporting evidence.
Report is generated
The finding, evidence, and confidence become a structured engineering report.
See AI-assisted investigation on your data
Request a demo to see how Sybrotix explains autonomous system behaviour with evidence.