SourceOptima reads engineering drawings, BOMs, and purchase history — then turns them into design reviews, sourcing mismatch reports, tariff classifications, and a queryable manufacturing taxonomy. No ERP integration needed to start. No new suppliers to qualify. Just data you already own, connected for the first time — with ERP and PLM integration available later as a path to deeper value.
Large manufacturers procure the same kinds of parts independently at every location. A 5-axis titanium component bought in Oregon has no visibility to a near-identical part bought in the Czech Republic — different suppliers, different prices, no shared intelligence.
Same parts. Different suppliers. Different prices. No way to see across silos.
Parts grouped by what they actually need from a manufacturing standpoint. Volume leverage and mismatch savings surface immediately.
SourceOptima reads the same engineering artifacts and turns them into decision-grade outputs for both teams — without making either one choose which to care about first.
SourceOptima reads CAD/PDF drawings the way a senior engineer would — GD&T, tolerances, materials, threads, assemblies — and turns that into a continuous design-for-X check across your whole portfolio.
We classify every machined component by its real manufacturing requirements, then cross-reference it against what you're actually paying. Parts that need the same profile but cost 3× more at one site than another surface immediately.
Five steps from raw engineering archive to dollar-denominated action — typically 30 days to first deliverable.
Drop in the drawing repository as-is — ZIP, RAR, 7z, nested folders. We handle 100K+ files without IT involvement.
AI reads each drawing — process, material, tolerance, geometry, GD&T, threads, secondary ops — into structured data.
Every part lands on a manufacturing taxonomy: process > complexity > size > material > tolerance band.
Modular AI plays run cost, tariff, design-review, sourcing-mismatch, and supplier intelligence over the structured set.
Per-stakeholder workbooks. One for engineering, one for sourcing, one for the executive — each ranked by dollar impact.
Each play is a self-contained analysis module that runs over your structured drawing data. Turn them on as you need them — no re-implementation, no re-ingest.
Tolerance stacks, GD&T compliance, missing dimensions, BOM mismatches, weight verification.
HTS code prediction from the drawing itself — material, geometry, function — with engineering-grade rationale.
Theoretical cost from geometry + commodity prices, then ranked deltas against actual spend.
Capability profiles built from delivery history. Who can actually make this, at what tolerance, at what cost.
"Modifying this hole diameter affects 4 downstream assemblies and 12 active ECOs." Drawings → consequences.
Process > complexity > size > material > tolerance band. Sourcing categories grouped by what parts actually need.
"You're designing a bracket 98% similar to an existing part." Cuts new tooling cost and qualification cycles.
Ask in plain English: "show me parts designed in the last 6 months with yield below 90%." Get a clean executive answer.
CoLab reviews drawings. Werk24 extracts drawing data. aPriori models cost. Teamcenter manages the digital thread. SourceOptima connects the engineering artifact directly to the business decision.— the SourceOptima difference
Built for messy real-world archives — old PDFs, mixed languages, scanned title blocks. The platform is tested on hundreds of thousands of files.
Each capability is a self-contained module. Add tariff today, supplier intelligence next quarter — no re-ingest, no re-build.
First-round value comes from drawing archives plus a purchase-history export — no IT war required to get going. ERP, PLM, and supplier-system integrations expand the platform's reach on your timeline, not as a prerequisite.
Acquisitions create exactly the fragmentation we resolve. Specific tooling for namespace reconciliation across legacy PLM and ERP.