Lovable leads investment in Danish hardware startup Atech
Atech secures $800,000 from Lovable, a16z’s scout fund, Sequoia Scout Fund, and Nordic Makers to develop an AI-driven interface for hardware creation.

Lovable, an artificial intelligence-powered application development platform, has invested in Danish hardware startup Atech. The investment forms part of an $800,000 pre-seed funding round for the Copenhagen-based firm, which aims to extend the concept of "vibe coding" from software development to the creation of physical hardware prototypes.
The funding round saw participation from Lovable alongside a16z’s scout fund, the Sequoia Scout Fund, and Nordic Makers. Atech’s platform operates through a web-based interface where users purchase a starter hardware kit. Once acquired, users interact with an AI chatbot to describe their hardware concepts, with the system subsequently generating the necessary code to assist in building a working prototype from the kit components.
Gustav Hugod, Atech’s head of customer experience, described the user base as diverse, ranging from children constructing simple models to industrial applications requiring precise voltage sensing for hydrogen synthesis plants. The startup positions its technology as a solution to the traditional barriers of hardware prototyping, which typically demand significant engineering experience or access to expensive specialist talent.
Hugod argued that as the accessibility gap in software development has narrowed, a similar shift is inevitable in the hardware sector. He stated that hardware must become available to everyone in a democratized technological landscape, suggesting that AI-driven tools will significantly reduce the difficulty associated with building physical devices.
The capital raised in the pre-seed round will be allocated to research and development, marketing initiatives, and hiring. The move marks a notable intersection between established AI software platforms and the hardware engineering space, as investors back efforts to streamline the prototyping process through natural language interaction.


