Most AI tools target one stage of the manufacturing lifecycle. SourceOptima starts at the source of truth — the drawing — and follows the consequences out to cost, sourcing, compliance, supplier, and design review. One platform. Many decisions.
SourceOptima sits in engineering intelligence: turning engineering drawings, BOMs, supplier data, and enterprise knowledge into decision-grade outputs across manufacturing, supply chain, compliance, sourcing, and engineering.
Reviews drawings inside engineering. Strong at collaborative review and standards enforcement.
Mature manufacturing-cost and DFM platform. Strong on simulation, regional cost models.
Product lifecycle and digital-thread platforms. Heavyweight, dependent on clean PLM data.
Strong at deterministic feature extraction from technical drawings into JSON / API.
Tariff classification from product descriptions and catalogs. Customs-broker credibility.
We read the same engineering artifacts and turn them into outputs across every adjacent decision — without asking the customer to pick which lane to buy first.
CoLab reviews drawings. Werk24 extracts data from them. aPriori models cost. Teamcenter copilots query PLM. ONESOURCE classifies products. SourceOptima takes the engineering artifact, runs it through all of those lenses simultaneously, and emits decision-grade outputs ranked by dollar impact.
In plain terms:
Acquisitions create exactly the kind of fragmentation we resolve — different PLM systems, different part-numbering conventions, different supplier relationships, no cross-site visibility. We've built specific tooling for that world, drawing on fifteen-plus years inside semiconductor capital equipment NPI — where this problem first found us, in 2019, before modern AI made it broadly tractable.
Anywhere from 5 to 50+ sites. Same parts bought independently. We surface the cross-site overlap that org charts hide.
Cross-currency, cross-tariff, cross-jurisdiction. The taxonomy travels; the spend is normalized.
Rolled-up product lines with overlapping part numbers, legacy PLM systems, and inherited supplier relationships.
$50M–$500M+ machined, fabricated, formed, or molded categories where engineering specs drive cost and supplier choice.
Every capability is a modular play running on the same extraction core. Add tariff today, supplier intelligence next quarter — no re-ingest.
We read the engineering artifact, not a description of it. The combination of tolerance + material + geometry + history is where the leverage lives.
The drawing checker is useful immediately — no integration required. As it becomes part of daily review, the case for deeper connectivity builds itself from demonstrated value.
Phases 1–4 produce concrete, measurable outcomes from your existing data. Phases 5–7 build on that foundation once the value is established.