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I appreciate press releases about AI that include definite use cases rather than just the usual vague “we’ve got AI.” InfinitForm is a company new to me. It uses the popular Co-Pilot form of AI for its Generative Engineering Platform.

InfinitForm launched its Generative Engineering Platform, the next stage in the evolution of Design for Manufacturing (DFM). The Generative Engineering Platform is powered by the InfinitForm AI Co-Pilot to automate DFM analysis while optimizing for manufacturing processes, freeing engineers to focus on innovation rather than design iterations and reducing design cycles by 60-80%. 

Speaking from past harsh experience as a manager of product development, anything reducing engineering and design time getting us into manufacturing more quickly is a win.

The Generative Engineering Platform is a software-as-a-service (SaaS) platform that integrates with computer-aided design (CAD) workflows and uses artificial intelligence (AI) to optimize design for manufacturability. The Platform fosters a manufacturing-first approach that extends generative design beyond additive-only optimization, providing engineers and designers with automated analysis and intelligence tools to bridge the gap between design and production. 

Much of the PLM, CAD, and similar technologies on the cutting edge have moved into a variety of cloud-enabled applications. This fits the trend.

The Generative Engineering Platform automates design while optimizing for manufacturing processes, including CNC (computer numeric control) machining, die casting, injection molding, extrusion, additive, and hybrid manufacturing. Automated analysis accounts for multiple manufacturability variables, including wall thickness, draft angles, tool accessibility, tolerance stack-up, assembly complexity, and tooling feasibility. The Platform also analyzes the cost of manufacture and provides first-pass yield predictions. 

The InfinitForm AI Co-Pilot amplifies rather than replaces engineering expertise to accelerate decision-making, freeing design engineers to focus on innovation rather than manufacturability trade-offs. Using AI, the Generative Engineering Platform enables design engineers to explore more concepts with confidence that the results will be manufacturable.

The Platform also reduces the time required for handoffs to manufacturing engineers from weeks to days. Manufacturing engineers gain early visibility into design decisions that could affect manufacturing, eliminating surprises and reducing time-to-production. Using AI to ensure manufacturability also delivers a higher first-pass manufacturing yield.

The Generative Engineering Platform also features a Privacy-First Architecture to protect intellectual property. Customer designs are never used to train Platform algorithms, so proprietary data is always protected.

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