Hours per package.
A quality engineer cross-checks dimensional results, control plans, PFMEAs and certs by hand — line by line, against the drawing.
Partsign is an AI quality engineer for robotics, EV and drone teams. It reviews PPAP packages, first-article inspection reports and material certs against your drawings, and flags what’s missing or out of tolerance — without a single drawing leaving your network.
Now recruiting 5 design partners in the Bay Area.
Drawing, sheet 1. Dimension 14 is cross-checked.
52 checks run49 within spec3 need your review
Dimension 14: 12.43 mm, spec 12.30 ± 0.10 — out of tolerance.
PSW missing signature.
Cert alloy 6061-T4, drawing calls 6061-T6.
Disposition is yours. Partsign never approves a part on its own.
Example output with synthetic sample data, for illustration only.
A quality engineer cross-checks dimensional results, control plans, PFMEAs and certs by hand — line by line, against the drawing.
One out-of-tolerance dimension or the wrong alloy on a cert slips through, and it shows up later as scrap, a line stop or a field fix.
ITAR, customer contracts and plain good sense keep drawings off third-party AI APIs.
Drawing, ballooned dimensions, inspection report, PFMEA, control plan, material and process certs (PDF, Excel, scans).
Every measured value against its drawing tolerance, every required PPAP element against your level, every cert against the spec.
Each finding links to the page it came from. You decide; Partsign never approves a part on its own.
Partsign ships as a small appliance or a container for your own servers. Models run locally; nothing calls home; it works with the network cable unplugged. Built for teams with ITAR, CMMC or customer data-handling obligations.
Supplier quality engineers, NPI and program managers, and the people who sign the PSW.
We’re working with a small group of hardware teams to shape Partsign around real packages. We’ll run it on your sample packages — on your premises if you need it.
Your request reached us.
Partsign is built by a hardware program manager who launched vehicle programs at an EV maker and an AI engineer who runs production AI systems without the cloud. We’ve lived the binder problem — now we’re automating it. Based in the San Francisco Bay Area.