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Pilot program

Test Fleet AI where it matters: on real vehicles, in a real operation.

The pilot exists to answer one question honestly: does this platform improve visibility, maintenance timing, and operator decision-making enough to deserve rollout?

Time-boxed Operationally real Proof-focused
Pilot structureValidation first
Pilot mission

Validate fit, trust the evidence, then decide whether to expand.

The goal is not to force a yes. The goal is to learn whether Fleet AI earns a larger role in the fleet.

Focus
Workflow + signaldoes the product fit the operation?
Decision
Scale or stopbased on live results

What the pilot is meant to prove

Not vanity metrics. Operational usefulness.

01

Signal quality

Can the system ingest and interpret the right data cleanly enough to matter?

02

Workflow fit

Does the product help operators and maintenance staff make better calls without adding friction?

03

Rollout credibility

Do the results justify a broader deployment, or does the product need more work first?

Typical pilot path

Short version: align, connect, validate, review.

1

Discovery

Clarify fleet goals, target vehicles, and what success would actually mean.

2

Setup

Connect the right vehicles, configure the workflow, and get the operational path live.

3

Validation

Run the pilot in live conditions and observe what improves, what breaks, and what still needs work.

4

Review

Use the evidence to decide whether to expand, refine, or stop.

Commercial rule

Pilot pricing is temporary on purpose

$59 per vehicle / month is meant to reduce friction while the product earns trust.

Execution rule

Use real vehicles, not stage props

The pilot only matters if it runs inside the same kind of mess and pressure the real fleet lives in.

Apply for a pilot

Tell us about your fleet, what you want to validate, and what kind of environment you operate in.

Thanks — your pilot request has been received. We’ll follow up with next steps.
We’ll use this to frame a demo, fit discussion, and realistic pilot path.