Every day, suppliers receive OEM design data they can barely open — native CATIA, complex STEP, foreign-language PDFs — and are expected to quote it accurately, inspect it, and prove it. DocIQ uses engineering-grade AI to read any OEM package in one click, flag the cost drivers before you quote, and turn it into ballooning, dimensional results and OEM-ready PPAP — all inside your own cloud.
For a supplier, this isn't a drawing problem — it's a margin problem. It shows up as underbid quotes, unbillable inspection hours, and PPAP rejections that put payment and the next award at risk.
Native CATIA files, complex STEP, or foreign-language PDFs you can't fully open. Miss one GD&T callout or tight tolerance and you underbid — then eat the scrap and rework on a job you were never paid to fix.
Cost: lost margin, scrap and rework on the jobManually numbering every dimension for First Article Inspection and PPAP Element 9, then copying measurement data in by hand — slow, error-prone, and re-done on every revision.
Cost: unbillable engineering hours on every partModels change between RFQ and start of production, and every customer wants its own PPAP format, level and portal. Miss a change or a format and it becomes a rejection — or un-costed tooling.
Cost: PPAP rejections and packages rebuilt again and againDocIQ pairs engineering-grade AI with the OEM data you receive — native CATIA, STEP, or 2D drawings — and gives you the same design visibility the OEM has: read everything it holds, flag the risks before you quote, and produce inspection and PPAP that's ready to submit. Read by AI, verified by your engineers.
Reads native .CATProduct / .CATPart and STEP directly — no CATIA seat on every desk — and shows dimensioned 2D views instantly, so an estimator can see the part the moment it lands.
Dimensions, GD&T, datums, surface finish and tolerances extracted and confidence-scored — with tight tolerances and special characteristics flagged as cost drivers before you price the job.
Foreign-language notes extracted and translated against an engineering glossary — including Chinese to English. Symbols and numbers pass through untouched. Bilingual output: source retained, English added.
Deterministic numbering of every characteristic for inspection readiness — consistent across inspectors and revision-safe, so a change never scrambles your balloons.
Dimensional-results tables populated with actual CMM data (QIF / DMIS), pass/fail computed, and each measurement locked to its balloon — eliminating the transposition errors that hand-keying invites.
Compare the RFQ model against the production release and see every geometric, dimensional and PMI change — so you raise a change request for cost adjustment before you cut tooling.
Checks completeness and conformance to the required submission level before anything leaves — so gaps are caught by the system, not by the customer.
A standards-based PPAP core — 18 elements plus the Part Submission Warrant — mapped to each customer's required format. Ingest the data once, submit to every OEM. Multi-OEM submissions, painless.
Live status across RFQs, inspections and submissions — what's in review, approved, submitted and accepted — with exception queues so nothing stalls silently.
Native CATIA (.CATProduct / .CATPart), STEP AP242 and existing 2D drawings all flow through the same pipeline — the input format changes how the file is read, never what you get out of it.
Native CATIA, STEP or 2D drawings — from the customer portal or upload.
GD&T, tolerances and special characteristics extracted; cost drivers highlighted.
Automated ballooning and Element 9 dimensional results with your CMM data.
Conformance checked, then mapped to each OEM's PPAP format and level.
OEM-ready PPAP with PSW, submitted and tracked to acceptance.
Engineering drawings are dense, abbreviated and highly visual — exactly the kind of content generic AI tools get wrong. DocIQ's AI is purpose-built to read them, and built to be trusted with the accuracy your quoting and quality demand.
Vision, OCR and language models trained on engineering content — reading dimensions, GD&T symbols, feature control frames and dense annotations the way your engineers do, not the way a generic chatbot reads a paragraph.
Every extracted value carries a confidence score. Where the AI isn't sure, it says so — flagged for your engineer to check, never silently guessed. Human-in-the-loop by design.
Cross-checks values across the drawing and model and flags discrepancies automatically — the kind of mismatch that's easy to miss under quoting-deadline pressure.
Search your drawings and parts in plain language — find a tolerance, a feature, or a prior job — and get an answer traced back to the source drawing, not a black box.
Price accurately without guessing at hidden manufacturing risk.
Right-first-time inspection and PPAP — less scrap, rework and rejection.
Critical characteristics surfaced before you quote, carried through to inspection.
Submit to every customer from a single ingest — no per-format rebuild.
UnifyIQ builds AI-based, tangible solutions for automotive engineering. DocIQ brings one engineering-intelligence foundation to both sides of the design hand-off — helping OEMs author and release design data, and helping suppliers turn that data into quotes, inspection and PPAP. One foundation, two editions.
Bring a handful of your toughest OEM packages to a working session — and watch our AI read them, flag the risks, and build inspection and PPAP, live.
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