01 / Control
Deployment + tenancy
Customer-controlled data with tenant-isolation and customer VPC deployment patterns; no training on customer data by default.
Security + governance
Designed for controlled
engineering environments.
The architecture follows a simple principle: keep valuable engineering data near its owners, make every consequential action inspectable, and preserve the human approval boundary.
Security and governance controls
02 / Control
Evidence integrity
Immutable source snapshots, content hashes, revision identity, explicit operating conditions, and audit logging.
03 / Control
Access governance
SSO/RBAC-ready architecture, least-privilege roles, scoped service identities, and approval gates.
04 / Control
Tool execution
Allowlisted, versioned skills and customer-hosted EDA workers with declared inputs, resource limits, and retained manifests.
05 / Control
Model + release boundary
Models cannot issue engineering approval. No autonomous release write-back; a qualified engineer must authorize change.
06 / Control
Export + retention
Configurable retention and portable decision packets for established change-control workflows.
POV posture
This public POV uses only synthetic product data, fictional part numbers, and simulated analysis. It contains no customer design files, licensed tool execution, production credentials, or confidential employer materials.
Production controls—including data residency, SSO, audit export, vulnerability management, backup, recovery, and incident response—would be jointly scoped with design partners before handling controlled data.
Design partner program
Define the trust boundary before the POC.
We’ll map the evidence, replay the decision, and define measurable criteria for a governed technical POC.