Augmented Industries raises €4.5M pre-seed for faster, AI-guided workflows

Augmented Industries’ Flow Tool helps technicians capture knowledge, create guides and training, and troubleshoot faster, boosting quality and machine availability for manufacturers.
Augmented Industries raises €4.5M pre-seed for faster, AI-guided workflows

Munich-based industrial AI company Augmented Industries has raised €4.5 million in pre-seed funding led by b2venture, with participation from 1st Kind by Peugeot Family, xdeck, DnA Ventures, and industry angel investors from BMW, Siemens, and the German Mittelstand. The company also secured an EIC Accelerator grant support from the European Union.

Globally, 500 million industrial operators work in complex, rapidly changing environments, and full automation will remain impractical for many factories and field service teams. As equipment grows more sophisticated, skilled technicians are a key competitive advantage, given the hands-on skills, contextual judgment, and broad troubleshooting they provide.

Augmented Industries develops AI-driven software that enables technicians to rapidly create, manage, and follow work instructions and troubleshooting guides, boosting productivity and reducing downtime. Use cases include automated onboarding in pneumatics, electronics, and robotics, machine-specific changeover instructions, personalised AI troubleshooting for milling machines, and AI-assisted quality checks during wind turbine maintenance.

The company’s mission is to empower industrial workers to drive digital and sustainable transformation. Its flagship Flow Tool helps manufacturers and service providers meet quality and uptime targets, providing an end-to-end platform for AI-accelerated (up to 8× faster) creation of step-by-step guides and training from multiple data sources, intuitive knowledge capture, and automated qualification management in regulated environments. Early adopters report a 29 per cent faster time-to-productivity.

Originating from the founders’ PhD research at the University of Cambridge, the software applies learning science and instructional design and supports secure deployment across global networks. It is used by organisations such as Siemens, Vestas, BMW, ZF, and Ford, and is valued for AI-driven content creation, personalised technician support, and real-time feedback through MES and QMS integrations.

The new funding will be used to advance enterprise-grade AI capabilities, accelerate go-to-market execution toward a technician-excellence platform, and expand the customer base among large manufacturers and industrial service providers across Europe.

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