Assembly intelligence that learns how you build.
AutoAssembler’s AI turns CAD into manufacturing plans and work instructions, and evaluates assembly feasibility. Your model learns from your entire planning library and engineers’ refinements within your own deployment.
“…a true game-changer for physical AI in manufacturing.”
NVIDIA AI Infrastructure
Read the LinkedIn post ↗35+
Factories running AutoAssembler in production
7K+
Engineering changes per month
85%
Reduction in manual planning
Weeks → Minutes
Analyze engineering changes and create manufacturing plans. DFA evaluation reduced from 1 week to 5 minutes with a Tier-1 automotive supplier.
6,400+ Parts
Built to handle large, complex assemblies at speed.
Secure VPC
Deployed and operated by customers in their own AWS/Azure infrastructure.
Our vision for physical AI
Compile design into action.
AutoAssembler is the compiler between digital design and physical AI. It turns product geometry into coordinated assembly plans.
C-Infinity designed this 50-part edge server with distinct compute, storage, power and cooling modules. The compiler overview shows four modules feeding the completed server. Each module has a subtree of intermediate assemblies and individual input parts. Smaller branches fade toward the left and right edges as the tree gets deeper. The compiled product moves from the center of the graph onto the robot table before execution begins. AutoAssembler generated their insertion plans, including a quarter-turn latch and lift-and-slide module installation. Execution was simulated using AutoAssembler generated paths with four robot arms. The arms build the modules in parallel, then assemble the chassis in the shared fixture, with kinematic motion and collision checks.
Preparing the assembly…
Product designed by C-Infinity. A 50-part modular edge server with compute, storage, power and cooling modules.
Your engineering decisions improve your future plans
Deployed in your own infrastructure, AutoAssembler learns from your entire existing planning library and your engineers’ refinements. Your model becomes more capable over time, proposing plans and work instructions that reflect how you build.
Learning stays inside your deployment.
Your data improves your model alone and is never used to train models for anyone else.
Evaluate it on your assemblies
Already deployed in customer-controlled enterprise environments. Bring us one assembly and your planning workflow.