AutoAssembler: AI with Mechanical Intuition

Inventing the future of advanced manufacturing means designing and building high-performing physical products faster than ever before. Yet today's digital manufacturing software stack is hindered by manual, sluggish feedback loops between engineering and production, slowing down decision-making across nearly 70% of the product development process. It's time to reduce expensive iterations and ultimately untangle these loops into straight lines.

At C-Infinity, our mission is to Design the Designer, inventing AI with mechanical intuition to solve real-world engineering problems that matter. We give mechanical engineers powerful tools that blend spatial reasoning, AI planning, and physical simulation to bridge the gap between design and manufacturing.

Assembly: Greater than the sum of the parts

Our initial focus is on assemblies, where parts come together to create complex products across industries like aerospace, defense, and heavy machinery. Every product in advanced manufacturing is an assembly of parts, ideas, and intent. Assembling parts into a product—or disassembling a product for service—requires a deep form of mechanical intuition. This intuition underpins the transformation from a product's structure (EBOM -- the Engineering Bill of Materials) into its process (MBOM - the Manufacturing Bill of Materials), mapping form, fit, and function into real-world production.

Assembly planning remains a persistent bottleneck in digital manufacturing. Even small product lines can consume 100-300 engineer-hours in manual build planning, exploded view creation, and sequencing. Every engineering change notice (ECN)—whether it's a new product series, a process change, or a tweak to an existing design—triggers a cascade of updates: fitment checks, assembly plan revisions, and long coordination cycles across teams. These ECNs cost time, money, and engineering focus. Now imagine this: instead of manually inspecting every configuration, you had an automated system that checks fit and feasibility, generates virtual build plans, and makes it easy to align across engineering, manufacturing, and suppliers. Automating this process means tackling some of the hardest problems in mechanical engineering: spatial reasoning, CAD interpretation, physics simulation, and AI-based planning. At C-Infinity, we're taking these challenges head-on—building tools that bring mechanical intuition into software.

AutoAssembler Generates virtual builds from CAD

AutoAssembler is C-Infinity's assembly intelligence system. It integrates seamlessly with CAD platforms like Creo and Onshape to generate virtual builds. A virtual build is a structured assembly plan—complete with part-by-part sequencing, interactive animations, and digital build timelines. These plans are visual, logical, editable, and export-ready.

With AutoAssembler, engineers can:

• Spot assembly design issues before they hit the shop floor.
• Skip tedious CAD work when preparing for design reviews – use virtual builds instead of exploded views to communicate assembly intent.
• Refine production plans and build instructions with confidence, while guiding the AI with deep domain and enterprise knowledge.
• Create multiple what-if virtual build scenarios.
• Share virtual builds as a URL across the enterprise.

A critical interface for physical AI

We believe the next generation of intelligent systems for physical industries must understand more than images, text, and point clouds. They must reason about mechanical logic, geometric constraints, and assembly behavior—structured inputs rooted in the physical world, but encoded implicitly in product designs.

To get there, we need:

• Supervised examples of real assemblies drawn from enterprise deployments to teach AutoAssembler the patterns engineers already expect to see.
• Systems that can simulate and plan physical action sequences directly from designs -- without disrupting existing workflows in CAD and PLM.

We see AutoAssembler as a critical interface for this future— mapping CAD models of product designs directly into robotic assembly instructions. This is the foundation for CI/CD workflows in hardware, where designs can iterate, validate, and execute in continuous loops, creating the straight line from design to production.