Feasibility study
Two to ten days, a fixed fee, and a written answer to the only question that matters first: is the signature there at all?
Settle the cheapest question first: is the signature even there?
This is the cheapest useful thing we sell, and it is where most engagements should start. Before anyone buys sensors or signs off a pilot, there is one question to settle: is the thing you want to detect actually present in a signal you can afford to measure, at a level a model can separate from the noise of your hall?
Where you already have recordings — from an end-of-line test cell, a weld monitor, a vibration route or a handheld survey instrument — the study runs on those first. No new hardware is needed for a first answer, which surprises people more often than it should.
The output is a report you can take to a budget meeting: what we found, what we could not establish, a recommendation with the reasoning attached, and, if it is a go, a costed proposal for the next step. If it is a no-go, you have spent a few days instead of a few quarters.
What is included
Signal inspection and time-frequency analysis; quick transparent baselines; a first learned model evaluated on held-out data; an assessment of sensor placement, edge hardware class, integration points and data governance. Where you already have recordings, from an end-of-line test cell, a weld monitor or a survey instrument, the study runs on those first; no new hardware is needed for a first answer. Delivered as a written report with evidence, a go / no-go recommendation and, if go, a scoped proof-of-concept proposal.
Signal inspection and time-frequency analysis
What is actually in the recordings, at what frequencies, and how it changes with load, variant and operator.
Transparent baselines and a first learned model
Evaluated on held-out data, with the gap between the two reported rather than hidden.
A deployment sketch
Sensor placement, edge hardware class, integration points and data governance, at the level of detail a budget needs.
A written go / no-go
With the evidence, the uncertainties, and a scoped proposal for the proof of concept if the answer is go.
Four stages, each with an output you can check
Scoping call
Free, 30 to 45 minutes. What goes wrong, how often, what it costs, and what data already exists.
Data or measurement
Your existing recordings, or a short campaign on site if none exist.
Analysis
Signal analysis, baselines, a first model, and the sensitivity of the result to the things you cannot control.
Report and readout
Written report, a live walkthrough with your team, and the recommendation.
Sectors that buy this most often
What clients ask before they start
What if we have no recordings at all?
Then the study includes a short measurement campaign — typically one to three days on site — designed to cover the process window rather than one convenient shift.
How often is the answer no-go?
Often enough that the question is worth asking. Usually the honest answer is narrower rather than negative: this failure mode yes, that one not with this sensor.
What does it cost?
Fixed fee, quoted after the free discovery call, because the scope depends on whether a measurement campaign is needed. It is priced to be a decision, not a project.
Ask about Feasibility study
Tell us the asset or process and what goes wrong. We answer every enquiry within 48 hours on working days, and the first call is free.
- NDAs signed before the first call if you prefer
- Anonymised or synthetic samples are fine to start
- Your data is never used to train models for anyone else
Services clients combine with this one
Ready to find out if it works on your machines?
Start with a free 30 to 45 minute discovery call. Bring the problem, the recordings you already have and your questions. We will tell you honestly whether sensing-based AI is the right tool and what the next step would cost in days, not months.