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New Aibuild OS automates engineering lifecycle from CAD to CAM

UK-based AM software company Aibuild has introduced Aibuild OS, an advanced AI-based operating system that automates the engineering lifecycle, from CAD to CAM. The OS uses agentic AI to deliver a highly autonomous program that can operate independent of human supervision and help to increase productivity and efficiency for part production.

Often when we talk about AI-driven technologies, we are talking about assistive tools that streamline tasks for people but still require a relatively high level of oversight and input. With its new operating system, however, Aibuild is clear to differentiate its agentic AI approach, which effectively functions as a “digital engineer”. That is, Aibuild OS integrates with existing tech stacks and workflows, executing tasks—from CAD, to CAE, to CAM—that would previously have been done manually. According to Aibuild, all the OS needs is an initial plain language prompt about what needs to be built, and the AI will plan and execute each subsequent step.

As Daghan Cam, co-founder and CEO of Aibuild, summed it up: “For too long, engineering capacity has been limited by human execution bandwidth. We are removing these barriers. By allowing engineers to deploy autonomous AI directly into their workflows, we help teams solve complex production challenges, reduce lead times, and increase productivity.”

Aibuild OS is built on the company’s extensive experience with computer-aided manufacturing (CAM) software—notably, its Aibuild CAM solution is used by automotive and aerospace leaders like Ford and Boeing. With the newly launched Aibuild OS, the company is providing a horizontal platform that integrates AI throughout the entire engineering workflow and enables engineers to easily transform design intent into finished parts.

Among the specific capabilities of Aibuild OS are design generation (i.e. turning plain language into digital models or 2D images into 3D models); data repair and processing (i.e. cleaning meshes and ensuring 3D models are manufacturable); surface preparation (i.e. closing holes and preparing surfaces for CNC milling); rapid tooling design (i.e. generating jigs, fixtures, or molds optimized for manufacturability); and toolpath generation (i.e. turning the CAD model into G-code for additive manufacturing).

By integrating and automating these various steps in the AM engineering workflow, Aibuild OS is expected users to save as many as 19 hours of work per part. Michail Desyllas, co-founder and COO of Aibuild, explains: “Traditional manufacturing software creates silos. Engineers spend hours moving data between disconnected tools and manually translating outputs. Aibuild OS orchestrates these processes as a single intelligent system. It is the operating system layer that manufacturing has lacked until now.”

This, as Aibuild emphasizes, should free up significant time for engineers, who can dedicate their skills to other high-value tasks, as well as enable manufacturers to scale engineering capacity without growing their team. Interested organizations can now access the company’s new Aibuild OS, which is now live in Public Alpha. The operating system’s development has been supported by investments from 212 NexT, Driventure, ACT Venture Partners, Force Over Mass Capital, and Atlas Ventures.

*This article originally appeared on VoxelMatters. Tess Boissonneault is the original author of this piece

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