Drawings, PDFs, BOMs, purchase history, and supplier records — ingested once, extracted with AI, classified into a manufacturing taxonomy, and queried by modular plays. The same platform that runs nine-figure category analysis at a Fortune 500 manufacturer.
Everything flows through the same extraction and classification core, then fans out into modular AI plays.
You don't need to deploy the whole platform on day one. Each phase produces standalone value and unlocks the next.
Ingest the drawing repository as-is. Reconcile against purchase history. Discover exactly what you have, what's missing, and where the namespace gaps are between engineering and procurement.
Every drawing is processed through AI extraction. Process type, axis complexity, envelope, material, tolerance class, surface finish, secondary ops — structured, queryable.
Cross-reference manufacturing profiles against spend. Find clusters of parts with near-identical requirements at wildly different unit costs. Lowest-hanging fruit, dollar-denominated.
Aggregate part profiles into a hierarchical classification: process > complexity > size > material > tolerance. Each leaf becomes a sourcing category.
Overlay spend on the taxonomy. Identify consolidation, volume bundling, and cross-site qualification opportunities — without changing the org chart.
AI agents contact existing suppliers to collect capability data. Cross-reference claims against delivery history. Suppliers who outsource work they can't do in-house get flagged.
The same agentic capability turned outward. Agents carry full context — every feature, the taxonomy, your strategy — to prospect new suppliers and detect overstated capabilities.
Ask: "which NPI projects are at risk from single-sourced material?" Get a clean executive answer. No reports to commission, no analysts to brief.
Production drawing archives are not clean. They have decades of history, mixed languages, scanned title blocks, nested ZIPs, and inconsistent part-numbering. SourceOptima is built for that — not for a glossy reference dataset.
We know what you're handing us. Engineering drawings are the most concentrated representation of your product strategy — every tolerance, every supplier choice, every cost lever. The platform is built so that working with us never means handing your IP anywhere you don't control.
Deploy the platform inside your environment. Storage, taxonomy, processing, and queries run behind your perimeter — controlled end-to-end by your IT team. The proprietary vision AI runs as a scoped, fully logged service call, so you get the platform's full extraction capability without standing up model infrastructure yourself.
Deployed into your AWS, Azure, or GCP tenant. Your perimeter, your KMS keys, your identity provider, your audit logs. We operate the platform; you own the data plane and can revoke access at any time.
Per-customer isolation, encrypted at rest and in transit, full audit log per analysis. Optional single-tenant dedicated environment for sensitive engagements. Up and running in days, not months.
The platform ships as a single self-contained deployable unit — same behavior, same outputs, whether it runs in our environment or yours. Start in our cloud during evaluation; move to your environment when you're ready, without re-implementation.
Our security questionnaire response, deployment architecture diagrams, and the SOC II Type 2 attestation-in-progress letter from our counsel are available to evaluators on request.
Request security pack →We don't replace your PLM, your tariff tool, or your drawing-review tool. We connect the engineering artifact directly to the business decision — across all of them.
| Capability | SourceOptima | Drawing review (CoLab) | Cost / DFM (aPriori) | Drawing OCR (Werk24) | PLM Copilot (Teamcenter) |
|---|---|---|---|---|---|
| Drawing-native intelligence | ● | ● | ○ | ● | ○ |
| Cross-functional plays tariff · cost · supplier · review |
● | ○ | ○ | ○ | ○ |
| Manufacturing taxonomy | ● | ○ | ○ | ○ | ○ |
| Sourcing mismatch ($-ranked) | ● | ○ | ○ | ○ | ○ |
| Optional ERP/PLM integration value before integration; depth with it |
● | ○ | ○ | ● | ○ |
| Time-to-first-value | 30 days | 90–180 days | 6–12 months | weeks | 9–18 months |
Comparisons reflect SourceOptima's analysis of public competitive positioning, May 2026. Mapped to category leaders, not specific contracts.