One Fleet
Decision intelligence for commercial transport.
The problem
Fleet decisions are made with partial information. Driver hours, vehicle state, charge or fuel, route history and job economics live in separate systems, so operators answer the hard questions from memory.
Why it matters
A missed job, an unnecessary charging stop or a vehicle sent that couldn't finish costs an operator real money every day. The information needed to avoid it already exists — it just sits in six systems that don't talk.
What we built
A decision layer for transport operators. One Fleet takes a job and answers it: can we do it, what should it cost, which vehicle, which route, and when to leave. Each answer carries the evidence behind it, and the outcome feeds back in.
Where it is now
In production test with a live fleet. Not publicly linked while the first operator runs on it.
Stage
Disciplines
Looking for
- Fleet operators willing to run a pilot
- Telematics partners
- Energy and charging data
Latest progress
Now
Running inside a live fleet. Feasibility, pricing and timing answered per job.
Next
Outcome learning: comparing what was predicted against what actually happened.
Questions it answers
- Can I do this job?
- Should I charge?
- Which vehicle?
- Which route?
- Should I leave now?
Who it's for
Components
Similar problem in your business?
Tell us what you're trying to solve. We'll say whether it's worth building.
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