Skip to content

Aibuild's first AI operating software 'bridges gap between creative intent and engineering data'

"It is the operating system layer that manufacturing has lacked until now."

Aibuild's first AI operating software 'bridges gap between creative intent and engineering data'

Aibuild has announced the launch of Aibuild OS, a first-of-its-kind AI operating system designed to automate the engineering lifecycle.

Currently live in a Public Alpha, Aibuild OS is said to overcome the bottleneck of interoperability between design and production software by using agentic AI to execute workflows across CAD, CAE and CAM. Per a press release, the UK-founded advanced manufacturing software developer says Aibuild OS represents a shift from vertical-specific software to a horizontal platform that 'applies manufacturing intelligence across the entire engineering stack.'

"For too long, engineering capacity has been limited by human execution bandwidth," said Daghan Cam, co-founder and CEO of Aibuild. "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 explains that the platform relies on autonomous AI systems known as Digital Engineers, which can plan and execute multi-step workflows across different software environments, automating data translation and process execution.

"Traditional manufacturing software creates silos," said Michail Desyllas, co-founder and COO of Aibuild. "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."

Aibuild OS can be used to bridge the gap between creative intent and engineering data, turning text prompts and 2D technical drawings into 3D models, and speeding up early-stage design with 'Image-to-3D' workflows. It removes the need for laborious manual geometry repair by converting raw 3D scan data into clean, production-ready meshes. Engineers can use finished part designs to automatically generate optimised moulds and fixtures with complex cooling channels. It can also plug into additive and subtractive design workflows with easy transition from 3D concepts to structural print and milling paths without manual geometry cleanup or slicing adjustments.

Laura Griffiths

Laura Griffiths

Head of Content at TCT Magazine, joined the publication in 2015 and is now recognised as one of additive manufacturing’s leading voices. Her deep application knowledge and C-suite connections make her industry insight second to none.

All articles

More in Artificial Intelligence & Automation

See all

More from Laura Griffiths

See all

From our partners