Define the workflow
Choose a priority with your engineering leads, review existing documents, and agree the baseline and success measures.
For equipment manufacturers
Keep complex engineering projects moving.
For engineering leaders managing equipment development across teams and sites. Connect requirements, reviews, and test evidence so issues are visible earlier and decisions are easier to trace.
Clarity where complexity costs the most.
Give your team a shared view of the requirements, risks, and decisions that drive development.
01
Catch gaps before rework
Surface unclear requirements and design deviations before the next review. Give engineers the information they need while changes are still easier to make.
02
Prepare for compliance reviews
Connect applicable SEMI, CE, and ISO requirements to design decisions and test evidence. Keep gaps visible as the project develops.
03
Preserve engineering knowledge
Record why decisions were made, which issues were resolved, and what the team learned. Keep that context available across projects and sites.
Deployment around your requirementsYour engineering data.
Your engineering data.
Your operating boundaries.
CAD files, specifications, and design decisions are valuable business assets. We work with your IT and engineering teams to define a deployment that fits your data-governance requirements.
- Hosting: Agree the environment and container boundaries.
- Data handling: Define what the system can access, where processing happens, and how model services are used.
- Integration: Select the repositories and systems needed for the pilot.
Define the controls before setup.
Access: Agree user roles and identity requirements, including any Single Sign-On (SSO) integration.
AI boundaries: Confirm permitted data sources and processing services.
Traceability: Define the checks, review decisions, and approvals your team needs to record.
The pilot scope documents these requirements before your team begins using the platform.
A focused 90-day pilot.
Start with one engineering challenge. Measure the results before deciding how to expand.
Set up and calibrate
Configure the agreed environment and test workflow. Check the AI-assisted outputs against your engineering rules and review criteria.
Run and evaluate
Use the workflow with your team. Review time spent, issues identified, and evidence quality to decide the next step.
Start with your highest-priority workflow.
Tell us where coordination, reviews, or documentation are slowing your team down.