The most expensive part of a design is the part you can’t make. For engineering teams in aerospace, automotive, and defense, the gap between a clever CAD model and a manufacturable, cost-efficient part is a weeks-long chasm of manual iteration and simulation. InfinitForm, a startup out of Rancho Mission Viejo, California, is betting that gap is now a software problem. Its AI platform promises to generate, optimize, and validate thousands of manufacturable design candidates simultaneously, compressing what it claims is a typical 15-day design cycle for a bracket down to three hours [3DPrint.com].
That is the kind of productivity gain that gets procurement teams to pick up the phone. The company, founded in 2023, has secured a $12.3 million seed round led by UP.Partners to prove it. The round included participation from Schematic Ventures, Counterpart Ventures, Yamaha Motor Ventures, and former Autodesk CEO Carl Bass, a signal that investors see a wedge in the notoriously sticky design-to-manufacturing workflow [InfinitForm, May 2025].
A wedge in true prismatic models
InfinitForm’s differentiation rests on a technical focus that sounds niche but defines its beachhead: true prismatic models. These are parts, like brackets and housings, manufactured through subtractive processes like CNC machining. The company positions itself as the first generative design tool built for this domain, automating design for manufacturability (DFM) across traditional processes including CNC, die casting, and injection molding [InfinitForm, December 2025]. The platform uses GPU acceleration to run thousands of simulations, evaluating each generated design for performance, cost, and manufacturability constraints specific to the chosen process [Craft.co].
This is not a generic AI wrapper on top of a CAD viewer. The founding team is described as pioneers in computational geometry, finite element analysis, and high-performance computing, suggesting the core IP is in the simulation and optimization engine, not just a front-end chatbot [InfinitForm]. The bet is that by owning the manufacturability step, InfinitForm becomes a required co-pilot for engineers before a design ever hits the factory floor.
Traction and the path to enterprise sales
The company reports serving over 50 beta customers across its target verticals of aerospace, defense, automotive, and industrial sectors [Startup Intros]. While specific customer names are not public, the participation of Yamaha Motor Ventures and the public collaboration of team members with entities like Lockheed Martin and NASA on LinkedIn suggest early inroads into demanding, regulated environments [LinkedIn, retrieved 2026].
The real test, however, is not the beta but the first enterprise-wide deal. Moving from departmental pilots to a site-wide license requires proving consistent value beyond isolated part optimizations. The platform’s ability to integrate with existing CAD and PLM systems will be as critical as its AI. Founder and CEO Michael Bogomolny, previously co-founder and CTO of computational design company ParaMatters, brings relevant domain expertise to that systems-integration challenge [Startup Intros].
Where the generative design race gets crowded
InfinitForm is entering a field with established incumbents and well-funded new entrants. Its realistic competitive set breaks down into three tiers.
- The legacy giants. Autodesk, with its Fusion 360 and generative design tools, and Dassault Systèmes are embedded in engineering workflows. Their tools are broad but can be generic on DFM for specific processes. InfinitForm’s wedge is depth and speed on manufacturability for prismatic parts.
- The simulation specialists. Companies like Ansys offer powerful simulation suites but often require expert setup. InfinitForm aims to automate that expertise.
- The AI-native peers. Startups like nTopology and Hyperganic focus on advanced, often additive, manufacturing. InfinitForm’s focus on traditional, high-volume manufacturing processes like CNC and stamping carves out a different, potentially larger, initial market.
The company’s ideal customer profile is clear: a senior design or manufacturing engineer at a mid-to-large OEM in automotive, aerospace, or industrial equipment, who is measured on part cost, weight, and time-to-production. For that buyer, a tool that guarantees manufacturability and shaves weeks off the schedule is a direct line to their KPIs.
For InfinitForm, the next twelve months are about converting beta interest into contracted annual recurring revenue. The $12.3 million war chest needs to fund both product refinement and the build-out of a sales motion that can navigate long enterprise cycles in its target sectors. If it can lock in a few flagship customers with public case studies, it will have proven that its AI can do more than generate shapes,it can generate purchase orders.
Seed Round (2025) | 12.3 | M USD
Sources
- [3DPrint.com] InfinitForm Comes out of Stealth with AI Co-pilot for Manufacturing Design | https://3dprint.com/309792/infinitform-comes-out-of-stealth-with-ai-co-pilot-for-manufacturing-design/
- [InfinitForm, May 2025] InfinitForm Closes $12.3M Seed Round to Deliver Rapid, AI-Driven Manufacturing Design | https://infinitform.com/infinitform-closes-12m-seed-round-to-deliver-rapid-ai-driven-manufacturing-design/
- [InfinitForm, December 2025] InfinitForm December Product Updates | https://infinitform.com/infinitform-december-product-updates/
- [Craft.co] InfinitForm company profile | https://craft.co/infinitform
- [Startup Intros] Infinitform Inc: Funding, Team & Investors | https://startupintros.com/orgs/infinitform-inc
- [LinkedIn, retrieved 2026] Kirk Jorgensen - Growth Marketing Leader @ Infinitform | https://www.linkedin.com/in/kirkjorgensen/
- [LinkedIn, retrieved 2026] Jonathan Ali - Lockheed Martin | https://www.linkedin.com/in/jonathanali2025/