Zentio raises €1.4M for AI-native production planning

December 11, 2025 at 06:30 AM UTC
Tech.eu
Original: EN
Zentio raises €1.4M for AI-native production planning

Berlin-based Zentio has secured €1.4 million in pre-seed funding to advance its AI-native production planning solutions, which could significantly impact European manufacturing. This investment, led by HTGF and supported by SIVentures, highlights growing interest in AI-driven tools that optimize industrial processes and enhance productivity. The development of such technologies aligns with the European Union's push for digital sovereignty and increased efficiency in key industrial sectors. Zentio's AI-powered system structures and centralizes operational, machine, and production data using AI agents to create a self-learning flywheel effect. This technology helps manufacturers make informed decisions by analyzing a wide range of factors, from shift scheduling to machine utilization, inventory levels, and storage costs. Founded in 2025, Zentio aims to offer real-time planning capabilities, enabling companies to respond effectively to disruptions. This technology directly benefits industrial companies by improving decision-making processes, enhancing productivity, and reducing operational costs. By anticipating capacity needs, responding to breakdowns, and adjusting schedules in real-time, Zentio’s platform allows manufacturers to increase output and minimize idle time. The system's focus on AI-native production planning represents a shift from simply digitizing existing processes, offering a more efficient approach to managing complex manufacturing operations. Zentio plans to use the new funding to deepen existing partnerships and further develop its core mathematical systems and machine learning pipelines. The company intends to expand its team with engineers to build the first generation of AI-native production planning tools. This strategic move underscores the potential of AI to revolutionize European manufacturing, promoting innovation and competitiveness.

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Publication: Tech.eu
Published: December 11, 2025 at 06:30 AM UTC
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