FIDELITY YOU NEVER GET BACK
A failure signature gets averaged into a trend line after the event, not before. The traces that were trying to warn you are gone by the time anything computes them.
Edge Advantage Series
The truck already knows. So why does the diagnosis run somewhere else?
A truck announces its failures long before they happen. They occur in the vibration, the pressure drift, the thermal curve. Yet current transport architectures ship summaries of that evidence somewhere else for review, while paying for the transport, the storage and the compute, per vehicle, forever. The warning belongs in the vehicle, not on the round trip back to the cloud.
The Challenges
Where did my fleet's uptime go?
On a linehaul tractor unit the signature of a failing component lives on the vehicle CAN bus at varying kilohertz, revealing harmonics, transients, drift. The telematics architecture, once revolutionary but now not, downsamples that stream and uploads it on a preset schedule.
But why? The AI model that was built to review it was trained and hosted somewhere other than the truck.
We've been treating this as a connectivity problem — that's really not the issue. It's a location problem. The evidence is on board, but the decision isn't. Let's fix that.
This detour inflicts three direct costs — fidelity, coverage, and the questions you're not allowed to ask.
So, what if you could simply query the model? (hint, you can.)
A DEPENDENCY YOU NEVER ASKED FOR
When your fleet - in the tunnel, on the jobsite, inside the terminal - is unconnected, it stops "thinking,” Uptime should not be a function of someone else's coverage map.
A DATA STREAM YOU CANNOT QUESTION
Asking the truck something new takes a firmware drop and an OTA window. So you live with the questions from last quarter, and wait for the next release to ask better ones.
STREAM ANALYZE - A NEW LANGUAGE FOR EDGE AI
Every one of your vehicles is generating the evidence for its own maintenance decision, at full resolution, all day. So, let's query the data stream and the models on board. And guess what happens when we do? The fleet stops blindly reporting its condition and instead starts answering questions about itself. That is how you gain uptime that really matters. Time for Edge AI.
The Before. The warning arrives as a breakdown.
05:12 on the E4. The aftertreatment system has been drifting for a fortnight, visible in traces nobody saw. The code fires only after the threshold is hit. The driver is still ninety minutes from an authorised workshop, the load is time-critical, and the diagnosis begins with a technician plugging in a cable. All this, reading what the truck already knew. And asking the truck something new, that'll take a firmware drop and even more time.
The After. The decision is made on the vehicle.
An optimized AI model runs on an ECU or gateway that is already fitted with a microcontroller, some kilobytes of RAM and no operating system. Yet powered by the Stream Analyze Engine, the AI model reads the raw signal at full rate, on board, in real-time. Roundtrip analysis becomes optional. Ten hours before the vehicle's derate, the driver gets instruction and the fleet gets a booked slot, parts are reserved.
The Results
Commercial Vehicle OEM
Deployed the Stream Analyze Platform across fleet cohorts to detect faults in real time and notify the driver with a remedy. Service booked from the vehicle's own location, fault detail attached.
Read this Customer Story.
Volvo Trucks & Boliden
A mile underground, with no usable connectivity, models ran on the loader itself. Gearbox failure predicted 10–12 hours ahead — long enough to reach the surface under its own power.
Read our "Querying the Mines" blogpost.
If you are a Tier 1, your OEM's uptime target becomes your spec.
For a Tier 1 supplier, the same advantage applies one level down. Let the Stream Analyze Engine run inside the module you already ship, on the microcontroller you already specified — no added silicon, no cloud dependency to negotiate.
And it changes what you sell. The module stops shipping as a part number and starts shipping as a guarantee: it reports its own condition, hours ahead, wherever the truck happens to be. Want to drive real value for your OEM? Let's work together to get it done.
Watch this case video
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