Juna.ai GmbH, a German startup using artificial intelligence to make factories more efficient, spear today with $7.5 million in seed funding.

Kleiner Perkins led the investment. It was joined by Stockholm-based fund Norrsken VC, prominent venture capitalist John Doerr and other backers.

Juna.ai is led by CEO Matthias Auf der Mauer, whose previous industrial software startup was acquired by publicly traded sensor maker Sensirion Holding AG. Co-founder Christian Hardenberg, the company’s chief technology officer, previously held the same role at Delivery Hero SE. Juna.ai provides a hosted AI platform that promises to help manufacturers find ways to operate their production lines more efficiently.

The company’s platform integrates with applications from SAP SE, Snowflake Inc. and other enterprise software vendors. It uses these integrations to collect technical data such as equipment temperature readings from customer factories. From there, Juna.ai’s AI algorithms transform the raw data into dashboards that highlight areas for improvement in a factory’s operations.

Certain features of the platform aim to help manufacturers improve the reliability of their production. Juna.ai can measure how many products a factory produces per day, how often manufacturing defects appear, and related metrics. The software also generates recommendations for improvement.

Reducing factory energy consumption is another task that customers can apply the Juna.ai platform to. For manufacturers that produce multiple types of goods, the software breaks down electricity consumption by product. Juna.ai also identifies situations where a production line is consuming more energy than usual and provides technical data that can be used for troubleshooting.

According to the company, customers can use the information produced by its platform to bring their factories into compliance with the ISO 50001 standard. This is a set of best practices designed to help manufacturers reduce their electricity consumption . Additionally, Juna.ai transforms the energy consumption data it collects into reports that can be used to demonstrate compliance with manufacturing regulations.

Under the hood, the platform is powered by custom AI models. The company says it developed its models using a method known as reinforcement learning. Neural networks based on this technology are trained by trial and error: they perform a task repeatedly to learn the best way to perform it and receive positive feedback after each learning step.

Juna.ai refines its models on customer data to produce AI agents. These are personalized neural networks that can perform tasks with little or no human intervention. According to Juna.ai, each of its agents is designed to monitor and optimize a different set of industrial metrics.

The company currently has six employees. Juna.ai will use the recently announced seed round to hire more staff and grow its customer base.

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