Sensor history
Failure-linked history, maintenance records and known operating states decide whether prediction can be validated.
AIoT planning
Estimate an AIoT deployment that keeps deciding when the uplink does not
A useful fleet is more than a model on a device. Provisioning, local behavior, buffered events, signed updates, rollback and health reporting belong in the first estimate.
What the estimate measures
Production conditions, not model fashion
The public result is driven by evidence that can be inspected before a project is signed.
Offline behavior
The project must state what each device senses, decides, buffers and controls when the connection disappears.
Fleet control
Provisioning, device identity, signed updates, staged rollout and rollback scale differently from a lab prototype.
Operations
Availability, model drift, hardware health, incident ownership and spares determine the managed footprint.
Worked examples
How the inputs move the starting point
These examples explain the rules. They are not invented client results.
| Situation | Likely first path | Why |
|---|---|---|
| Raw sensor history, no linked failures, simulator only | Feasibility Study · from $9,500 | The signal-to-outcome relationship must be established before fleet architecture is priced. |
| Twenty devices, intermittent uplink, reviewed events, local alerts | AIoT Fleet · $90K–300K+ | The first fleet needs provisioning, offline behavior, telemetry, update and rollback paths. |
| Hundreds of devices, mixed networks, consequential local control | Enterprise AI · $180K–500K+ | Hardware variation, safety, rollout waves and operational ownership materially expand validation. |
Methodology v1.0.0
A versioned rule, open to inspection
The score has five dimensions: problem definition 20, data readiness 25, integration readiness 20, acceptance readiness 20 and operational ownership 15.
- 01The engine separates model evidence from fleet readiness. Good anomaly scores do not prove update, recovery or local-control behavior.
- 02Device count changes the rollout and operations envelope, while connectivity and control consequence determine the required offline and fail-safe tests.
- 03The AIoT band is selected only when representative events, named interfaces and an owner exist; otherwise the recommendation stays at feasibility or pilot.
Limitations
What this result cannot establish
- The estimate is a planning band derived from the answers supplied. It is not a quote, warranty, or substitute for reviewing real data and interfaces.
- Third-party licences, cloud or hardware consumption, travel, and unusual certification work are outside the build band unless a proposal explicitly includes them.
- No model, accuracy, savings, or return claim is inferred from a questionnaire. Those require a feasibility test or measured baseline.
Questions
Before you use the range
No. It identifies the hardware and connectivity questions that must be resolved. Component selection follows a signal review and representative-device test.
No. Accuracy and warning lead time require history linked to real maintenance or failure outcomes. The report specifies the evidence needed to measure both.
A fleet cannot be operated safely without device identity, signed artifacts, staged rollout, rollback and proof that a failed update does not strand the device.