Use case
Prove an industrial IoT idea before you build it
Industrial teams know exactly what they want to monitor — vibration, temperature, distance, presence on a line — but a proof-of-concept still demands embedded developers, wiring, and integration work nobody has spare capacity for. So the idea waits in a backlog while the case for it goes unproven. The risk is committing engineering budget before you know the signal is even useful.
The problem with industrial POCs
The hard part of an industrial monitoring POC is rarely the sensor — it’s the firmware, the wiring, and the integration glue. That work has to happen before anyone can tell whether the data is worth a real project, which makes proofs-of-concept expensive to even start. Good ideas stall in the “we should look into that” phase.
How Palpable helps
Connect I2C/Qwiic modules — vibration, temperature, distance, presence — and describe the monitoring behavior in plain English. PAL writes and deploys the code to a Pi, which runs it locally on the edge and exposes readings over REST/WebSocket APIs for your historian or dashboard. OTA updates with automatic rollback let you refine thresholds without redeploying hardware.
What you’d build
An edge node that watches a machine for vibration and temperature anomalies, logs locally, displays current status, and streams events to your monitoring stack. You can adjust what counts as an anomaly by describing it, then compare runs to decide whether a full project is worth funding.
Scope — prototype, not production
Be clear-eyed: this targets the prototype and proof-of-concept phase, not certified production deployment. Palpable does not provide industrial certifications, ruggedized enclosures, redundancy, or the safety and compliance engineering a factory-floor rollout requires. Use it to validate the signal and the value, then hand a proven concept to your production engineering process.
Stand up an industrial monitoring POC in days, on hardware you can buy today.
Questions
Can I deploy this on a production line?
It’s built for prototypes and proofs-of-concept, not certified production. Ruggedization, certifications, redundancy, and compliance engineering are out of scope.
Does it run at the edge without the cloud?
Yes. Scripts run locally on the Pi, so monitoring continues during network outages. Data and APIs sync back when connectivity returns.
How does it feed our existing systems?
Every project exposes REST and WebSocket APIs plus a CLI, so readings and events can flow into your historian, dashboard, or alerting stack.
Make something you can hold.
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