Security for AI in engineering.

The technical archive and knowledge graph reside in the customer’s infrastructure; the LLM runs in a private cloud. Architecture and engineering responsibilities remain distinct.

Let’s talk

Company infrastructure

On-premise

Technical archive
Knowledge graph

Models, drawings, documents and connected data form your engineering knowledge base. NEOCAD builds and maintains the knowledge graph on-premise.

Language model

Private cloud

LLM

The private-cloud LLM supports natural-language interaction and reasoning. Component flows and configuration are reviewed with the technical team.

NEOCAD / TECHNICAL CONTEXT

Two environments, distinct roles

ON-PREMISE

Technical archive and knowledge graph within company infrastructure

PRIVATE CLOUD

Language model for interaction and reasoning

Component-location diagram. Access and flows are defined with the IT team; no additional guarantees are implied.

Component locations, not a data-flow diagram. Processing, access and configuration are reviewed with the IT team.

Governance and responsibility

Trust requires
precise information.

AI Act

NEOCAD has prepared an AI Act compliance document. Technical and documentary review considers the intended use.

CAD edits reviewed by the engineer

AI-to-CAD edits the model’s parametric structure. The engineer reviews and approves the change; technical design checks remain necessary.

Patent application filed, pending grant

A system and method for AI-based processing, search and generation of parametric CAD models.

See NEOCAD
in action.

A demo focused on your CAD, PDM and PLM workflows.

Book a demo

Book on Calendly · new tab