Industry · Telematics & mobility

Telematics and fleet software that holds up at scale.

Vehicle tracking, driver behaviour scoring, usage-based insurance programmes and the IoT data pipelines underneath them. We are building our own fleet intelligence platform, so these are problems we work on every day.

What we build

• Fleet tracking platforms — live maps, trip history, geofences, alerts and reports for fleet operators.
• Device ingestion — servers that receive and decode GPS tracker data, whatever hardware you already use, and keep up when the fleet grows.
• Driver behaviour scoring — harsh braking, speeding and idling turned into scores that managers can act on and drivers can accept as fair.
• Usage-based insurance data — the mileage and behaviour data an insurer needs for pay-as-you-drive or pay-how-you-drive programmes (see insurance software).
• IoT data pipelines — cleaning, storing and serving large volumes of location and sensor data so reports stay fast and correct.

What makes telematics hard

GPS data is messy. Signals drop in tunnels, devices send duplicates and out-of-order points, and one fleet can produce millions of records a day. Trip detection, mileage and scoring are only as good as the cleaning in front of them. We design for that from the start and test against real device data, not tidy samples.

Questions fleet and mobility teams ask

Which tracking devices do you support?

We work from the device's protocol documentation, so we are not tied to one manufacturer. If you already have hardware in vehicles, we start there.

Can you add features to the platform we already have?

Yes: scoring, reports, integrations or a customer-facing app on top of an existing system, through its API or data exports.

Can the data feed our other systems?

That is often the point. See integration and workflow automation.