Autonomous systems generate evidence — not testimony.
"I heard a loud noise around mid-afternoon. By the time I turned around, the machine had already stopped. I couldn't say exactly what it was doing before that…"
Commercial drones are the fastest-growing autonomous fleet worldwide. From agricultural sprayers crashing into power lines to delivery drones failing mid-flight, every incident generates flight controller logs that contain the truth.
From autonomous agricultural machines to last-mile delivery robots, ground-based autonomous systems generate dense telemetry trails that traditional accident investigation cannot decode.
Autonomous surface and subsea vessels are entering insurance markets without any established forensic standard. When a USV collides or grounds, the log data is the only objective record of what happened.
Subsea autonomous systems operate in environments where human investigation is impossible. The telemetry log is the only witness — and decoding it requires specialist forensic capability that did not previously exist.
Industrial robots operate in high-value, high-consequence environments. When a robot damages product, injures a worker, or fails during a surgical procedure, the telemetry log is the only objective record of what the machine did and why.
The emerging wave of autonomous humanoid and service robots creates entirely new liability questions. When a robot fails, falls, or causes harm — who is responsible? The sensor logs contain the answer. Telemetra decodes them.
Humans tell stories.
Machines leave evidence.
This isn't a data problem.
It's an interpretation problem.
Machine-generated evidence is only valuable if insurers can understand it. Telemetra transforms telemetry, system logs and operational data into structured, explainable intelligence for claims, underwriting and risk decisions.
Telemetry, system logs, sensor records, images and video — ingested in whatever format the machine speaks.
Determine what happened, why it happened, and whether the loss is payable — with the evidence chain to support it.
Identify emerging failure patterns, model-specific risks, operational behaviour and silent exposures.
Aggregate evidence across thousands of incidents to identify systemic risks, improve pricing and support reserving.
We spent a decade building drone insurance operations and dealing with the consequences when machines failed. Eventually we realised the technology wasn't the bottleneck. Understanding what happened was. The industry had no common way to interpret it.
Telemetra exists because insurance needs a forensic language for machines.
Autonomous systems are moving from pilots to daily commercial operations.
No common standard exists for interpreting machine-generated evidence.
Regulators increasingly require operational data. Machine evidence is becoming the official record.
Machine-generated evidence will grow exponentially.
Insurance must evolve with it.
Every autonomous machine records what happened. Telemetra helps insurance understand it.