Cyncly, a leading global provider of AI-driven software for the spaces-for-living industry, today announced the acquisition of imos, a leading provider of CAD/CAM, integration & automation software for the furniture manufacturing industry.
Headquartered in Germany, imos is known for deep industry expertise and market-leading manufacturing software for panel-based custom and semi-custom furniture. Its software helps manufacturers turn design intent into validated, parametric constructions that generate production-ready data, including optimised nesting and CNC-ready outputs. imos serves more than 5,000 manufacturers across 100 countries, from craft businesses to large industrial producers.
The acquisition strengthens Cyncly’s leading furniture manufacturing portfolio, which today serves manufacturers at every scale from the largest enterprises to the smallest cabinet and woodworking shops.
The addition of imos brings complementary know-how and deep engineering capabilities, adding depth in the critical step where design becomes machine-ready. For manufacturers, this means a more connected, end-to-end, AI-ready workflow: one that can draw on real production data to optimise material usage, catch errors before they reach the machine, and move more orders through production faster.
Together, these capabilities move Cyncly closer to its vision of becoming the single, AI-enabled manufacturer platform that supports customers across their entire workflow, from initial design through to final production.
"Every furniture manufacturer is trying to connect design, engineering and production into one smooth process. Our ambition is to give them a single platform that does exactly that, and imos is a major step toward it," said Anand Krishnan, CEO of Cyncly.
"imos is the leading provider of CAD/CAM, integration & automation technology in the industry, supporting the engineering middle of manufacturers' workflows, which means what a designer creates is precisely what the machine produces. Together, we'll help the entire furniture manufacturing industry run more accurately and efficiently."
