Platform and service
Skip the partnership. Keep the output.
A partnership builds a model from your own decade. Not every team needs that.
Take the workspace
Or take the document
Two shapes, one back end
Same model, same anchors, either way. What changes is who does the work.
Platform
Euryan’s own workspace, used by your engineers. Artefacts in, failure modes worked, occurrence and detection set, worksheet out.
Sign-off per line, not per document. Every rating opens to its evidence.
For teams with no FMEA toolchain to fit.
Service
The document produced for you. You send the scope and what you hold. A qualified engineer reviews the output before it comes back.
Your preferences are held, not re-explained.
For teams who need the deliverable now.
Questions
The things a smaller team asks before they commit a budget.
Do we need an FMEA toolchain already in place?
No. The platform is Euryan’s own workspace. For teams already running Polarion or XFMEA, the API route fits the tooling instead.
What do we have to prepare before starting?
Whatever you already hold: a drawing, a bill of materials, a specification, a test report, an existing FMEA. No template, no prompt.
Will our customer’s auditor accept the output?
Three things decide it: the output is in the shape your quality function already reviews, every line carries the evidence under it, and a qualified engineer signs it, because Euryan does not sign anything. Euryan v1 is not licensed to VDA and holds no conformance assessment.
What does the platform know if we do not give it our history?
Ontology and structure, standards and their clauses, material properties, published failure data. More coverage than a workshop assembles. Less specific than a model built from your own decade.
What does it cost?
Quoted against your documentation load, not published as a list. Platform pricing sits below departmental sign-off thresholds.
Is our data used to improve Euryan for anyone else?
No. Your data intelligence is private to you. Customer data is not used to train, tune or develop any machine-learning model.
Thirty minutes, and nothing needed from your side.
Name the item and the document you are stuck on. We will say what Euryan can produce against it, and what it cannot.
Start the conversation