Juna.Ai

Based in Berlin, Juna.Ai is a technology firm focused on optimizing industrial processes through artificial intelligence. Founded in 2023 by Matthias Auf der Mauer and Christian von Hardenberg, the company emerged from stealth mode with a significant seed funding round to support its mission. The founding team possesses a blend of industrial and software engineering experience. Auf der Mauer previously founded and led AiSight, an AI-powered predictive maintenance startup that was later acquired, while von Hardenberg has an extensive background as a Chief Technology Officer, including at Delivery Hero, where he managed large engineering teams.

Juna.Ai operates as a Software-as-a-Service (SaaS) business, providing an Agentic Process Control platform. The core of its offering is the development and deployment of industrial AI agents, which are designed to autonomously manage and optimize complex manufacturing processes. These agents leverage technologies such as reinforcement learning, deep learning, and numerical optimization to analyze real-time data and improve operational parameters. The company's platform integrates with existing enterprise software like SAP and Snowflake to collect technical data from a factory's operations, such as equipment temperatures and production metrics. This data is then used to train the AI models, which can either act as a "co-pilot" to assist human operators in making optimal decisions or, with the goal of full autonomy, run processes independently. The system provides dashboards that highlight areas for improvement, helping to balance objectives like maximizing production output, enhancing quality, and reducing energy consumption.

The company targets heavy industries, including chemicals, steel, paper, cement, textiles, and food processing. These sectors are typically characterized by high energy consumption and complex operational challenges. Juna.Ai's solutions aim to address critical industry pressures such as rising energy costs, supply chain disruptions, and the push towards net-zero emissions. Early deployments of the technology have reportedly demonstrated tangible savings and operational efficiencies for its initial customers. A key milestone for the company was securing $7.5 million in a seed funding round led by Kleiner Perkins, with participation from Norrsken VC and prominent angel investors. This capital is intended to accelerate product development, expand the team, and establish a new headquarters in Berlin.

Keywords: industrial AI, process control, manufacturing optimization, agentic AI, reinforcement learning, SaaS, heavy industry, energy efficiency, sustainability, production throughput, Kleiner Perkins, Matthias Auf der Mauer, Christian von Hardenberg, Industry 4.0, autonomous systems, decarbonization, process stability, AI agents, operational efficiency, industrial automation, predictive maintenance, real-time optimization, Berlin startup