MSTEngineering AI

AI ENGINEER / DEPLOYMENT

Built inside a real engineering environment.

Already deployed with a semiconductor process-equipment manufacturer in China. Customer identity remains private without written publication approval.

Concept illustration of a private customer-local engineering AI environment connected to approved design data and equipment
Concept illustration — the final technical and legal deployment boundary is defined with each customer.

01 / DEPLOYMENT PRINCIPLE

Customer engineering truth stays authoritative.

The system is designed around customer-local PDM/model-library access, controlled ingestion, versioned Rulepacks, isolated AI engineering execution and customer production-release authority. Public website inquiries never accept CAD, GDS, PDK or confidential engineering attachments.

  1. Authorized PDM/model-library boundary

    A configured customer-local adapter resolves only approved part identities, revisions, lifecycle states and native models inside the authorized scope; an approved controlled export remains an alternative.

  2. Evidence-preserving transformation

    Document observations, inferred relationships and formal engineering facts remain distinguishable.

  3. Customer production-release authority

    AI Engineer completes and verifies the in-scope engineering artifact without engineer intervention during execution; the customer organization retains authorization and production responsibility.

Security and IP diligence

A deployment model investors can inspect.

Final customer deployments are scoped through NDA, data-flow mapping, access control, retention policy, export/compliance review and an explicit responsibility matrix. The website does not imply certification or customer endorsement.

IP

Customer inputs remain customer assets

Ownership, derived artifacts and reusable platform improvements are separated contractually.

DATA

Private execution boundary

Deployment can be structured around isolated workers, scoped credentials and auditable access.

RELEASE

No silent production handoff

Evidence status and engineering approval are explicit gates, not implied by model confidence.

Private technical review

Discuss deployment without uploading secrets.

Describe the non-confidential workflow, toolchain and desired verification boundary. A human will follow up before any protected engineering material is exchanged.

Request deployment review