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The AI foundation for manufacturers

You have run this business for decades without AI. The problem is not ambition, it is that the data lives in an ERP, an MES, a quality system, a stack of prints, and a hundred spreadsheets nobody fully trusts. Structify builds the foundation first, then builds AI on top of it.
WHO IT IS FOR

Who it is for.

Fast-growing industrial manufacturers. The shop decides which of these reads like your floor.

  • Aerospace and defense
    • ITAR and CMMC obligations
    • AS9100 paperwork
    • Prints that carry more requirements than the purchase order does
  • Precision machining
    • Quote volume that outruns the estimators
    • Control plans rebuilt by hand for every new part
  • Medical devices
    • FDA-governed documentation
    • A record that has to match what actually happened on the floor
  • Food and beverage
    • Food safety records
    • Lot traceability
    • Demand that moves faster than the reporting cycle
  • Automotive
    • Tier supplier schedules
    • Change notices that arrive in a dozen formats
  • Industrial
    • Mixed-mode quoting and order entry
    • AP that still runs on email and attachments

A forward-deployed engineer embeds on-site and connects the systems that already run the plant: the ERP, the MES, the quality system, the engineering prints, and the spreadsheets that hold everything the systems do not. The result is a data map and a context handbook, a structured model of how your business actually runs, in an auto warehouse you own.

WHAT IT CONNECTS

What the foundation connects.

Five classes of system hold the record of how a plant actually runs. The connector directory lists the named systems under each one, and the ERP chooser compares the major ERPs side by side.

  • ERPOrders, jobs, routings, inventory, and cost, read in the terms your business uses rather than the vendor's table names.EpicorSAP Business OneNetSuiteSage IntacctQuickBooks
  • MES and the shop floorThroughput, yield, scrap, and downtime tied back to the jobs and parts they belong to.MESCAMCMM
  • Quality systemsInspection results, nonconformances, and corrective actions, kept auditable.QMS
  • Engineering printsDimensions, tolerances, notes, and callouts pulled off the drawing as structured data.SolidWorks PDMPDMPLM
  • Spreadsheets and filesThe pricing workbook, the capacity plan, and the tracker that runs a department, treated as a real source.Google SheetsAirtableSharePointGoogle Drive
WHAT GETS BUILT

What gets built on it.

Production-grade AI business applications, shipped in the 60 days after the blueprint, with governance, audit trails, and code you own. These are the ones destined for the catalog; the full catalog carries the rest.

Teams

Supplier invoice three-way match

Reads supplier invoice PDFs and emails, matches them to PO and receipt lines, posts clean invoices, and routes only exceptions to a human queue.

Systems
ERP, AP inbox, scanned receipts, supplier emails
What it moves
Cut AP hours per invoice and capture early-pay discounts

Cost of quality tracking

Ties scrap, rework, corrective action, and complaint handling cost back to product line and root cause.

Systems
ERP job cost, QMS, corrective action records
What it moves
Make the cost of poor quality visible to the P and L

The regulated context

Regulated businesses cannot put AI on top of spreadsheets nobody trusts and hope the audit goes well. ITAR and CMMC govern who may touch defense data and where it may live. AS9100 and the FDA govern what you have to be able to prove after the fact. Food safety rules govern traceability down to the lot. That is why we build the foundation first: a model of how the business runs, with governance, audit trails, and code you own, so every AI application on top of it can be explained to an auditor.

For Structify's own certifications and current compliance posture, see the Trust Center.

Questions manufacturers ask

Ask us directly

Proof

What transformation looks like

Featured

A Texas-based CNC precision shop

Turning customer prints into control plans

Read case study

$400K

Saved

LP Aero Plastics

Structify was able to streamline data collection efforts that would take a small team weeks, to a task one data scientist could perform the same day.

80%

Reduction in data entry time

Start with a 30-day blueprint

A forward-deployed engineer maps how your business runs and shows you where AI pays off. Flat cost, defined outcome.