Juna ai
Assembly Line
Juna.ai wants to use AI agents to make factories more energy-efficient
At its core, Juna.ai wants to help manufacturing facilities transform into smarter, self-learning systems that can deliver better margins and, ultimately, a lower carbon footprint. The company focuses on “heavy industries” — industries such as steel, cement, paper, chemicals, wood and textile with large-scale production processes that consume lots of raw materials.
The Berlin-based startup said that it has raised $7.5 million in a seed round from Silicon Valley venture capital firm Kleiner Perkins, Sweden-based Norrsken VC, and Kleiner Perkins’ chairman John Doerr.
Juna.ai’s software integrates with manufacturers’ production tools, like industrial software from Aveva or SAP, and looks at all its historical data garnered from machine sensors. This might involve temperate, pressure, velocity, and all the measurements of the given output, such as quality, thickness, and color.