Automate 3D Data Workflows with AI Agents, from Design to Sales

instant3Dhub is the integration platform that makes CAD and engineering data AI-ready. It automates engineering, manufacturing, and sales processes.
BUILT TO INTEGRATE WITH LEADING AI MODELS

AI Workflows Tailored to
How Each Department Works

Engineering

Automate cumbersome review and validation processes
Catch quality issues early to avoid later costs
Check a 3D design iteration against design guidelines, quality rules, or norm documents

Technical Sales

Accelerate your sales cycle with an Al Sales Assistant
Give your sales team direct access to
3D data
Answer technical questions on the spot,
without waiting on engineering

Service

Diagnose issues faster with AI that reads your 3D service documentation
Point technicians straight to the failing part, not the manual
Answer field questions without pulling in engineering

AI Has Enormous Potential in
Engineering But 3D Data Isn’t Ready

3D Data is Hard to Expose to AI
CAD geometry, spatial relations, and engineering context 
Fragmented systems AI can’t natively understand
Unclear Where AI Really Fits
Many promising ideas, few production-ready workflows 
Hard to assess reliability and decision impact
ROI is Difficult to Justify
High setup effort 
Unclear, non-measurable outcomes block adoption

The 3D Integration Platform
Built for AI-Powered Engineering

Unified Access to 3D Engineering Data
Connect CAD, PLM, requirements, and knowledge systems 
AI agents access geometry and metadata consistently
Spatial & Engineering Understanding
AI can reason over geometry and spatial relationships 
Enables validation, comparison, and decision support
Agent-Ready by Design
Build on existing instant3Dhub interfaces 
Use MCP to integrate AI into real workflows 
No rebuild of 3D or data infrastructure

Designed for Enterprise Control and Governance

Human-in-the-loop decision making 
AI insights linked to source geometry 
No uncontrolled data duplication 
Flexible AI model choice (no vendor lock-in) 
Deployment aligned with IT and compliance policies

See It In Action

A short walkthrough of instant3Dhub's AI agents working on a real 3D workflow.

Frequently Asked Questions

Does instant3Dhub support different AI models and providers?
Yes, customers have complete flexibility in selecting AI models. The platform supports any model provider, whether third-party services like OpenAI, Anthropic, or Google, or proprietary company-internal models. The architecture is designed to be model-agnostic, allowing you to connect whichever AI solution best fits your requirements and compliance standards. 
Is this production-ready or experimental? 
You can join the world's leading Automotive OEMs who are already working with us today. We are selectively partnering with forward-thinking engineering organizations to co-develop and validate AI-driven workflows for 3D and engineering data at scale. Early partners receive priority influence over the product roadmap and privileged access to capabilities that will define the next generation of AI-powered engineering.
Does instant3Dhub train AI models on our data? 
No. instant3Dhub does not train models on your data. We provide the infrastructure to connect your 3D data to AI models, but we never use customer data for model training. Your engineering data remains yours.
How is engineering data protected when used with AI? 
You maintain full control over data protection by choosing your preferred AI provider and their associated security guarantees. For instance, if you have a Microsoft partnership, you can route requests through Azure OpenAI with enterprise-grade compliance. Importantly, raw engineering files (B-rep geometry, tessellations) are never sent to AI models, only structured metadata descriptions generated by instant3Dhub are shared, significantly reducing data exposure. 
How does this integrate with existing CAD and PLM systems? 
instant3Dhub connects directly to CAD and PLM systems through data gateways and connectors. Once connected, AI agents can immediately access and understand 3D data without requiring manual exports or conversions. For organizations seeking deeper integration, knowledge graph solutions can be layered on top to connect additional enterprise systems, creating a unified AI-accessible view of your entire engineering knowledge base.