Bosch and Siemens Energy partner Almetra raises €16 million Series A for manufacturing intelligence platform - EU-Startups

2026-06-25 · Source: Series A" OR "Series B" OR "Series C" AI startup via Google News · Field: Manufacturing & Industrial — Smart Manufacturing & Industry 4.0, Automation & Robotics, Manufacturing Operations & Management · Depth: Fundamental Awareness, medium

Summary

Almetra, the Berlin-based manufacturing intelligence company, secured €16 million in Series A funding on June 25, 2026, led by Blisce, with participation from NAP, Merantix, Robin Capital, Underline Ventures, and Critical Ventures. This capital infusion, equivalent to \$19 million, will accelerate product development, facilitate international expansion into the US, and enhance its platform into a comprehensive intelligence and automation layer for the shopfloor. Almetra's platform utilizes AI-powered cameras to process raw video locally, converting it into real-time structured production data like cycle times and output rates, without requiring IT integration. The company, founded in 2022 by Maximilian Fischer and Silviu Homoceanu, serves clients such as Bosch and Siemens Energy, and emphasizes worker privacy through anonymized footage. This funding round reflects a broader trend in 2026 of significant capital allocation into industrial AI and automation.

Key takeaway

For Directors of AI/ML evaluating industrial automation solutions, Almetra's €16 million Series A funding highlights a maturing market for AI-driven manufacturing intelligence. You should consider solutions that offer real-time production data insights without complex IT integration, especially those prioritizing worker privacy by design. Explore platforms leveraging AI-powered cameras to quickly identify optimization opportunities and prepare for future robotics integration to enhance shopfloor automation.

Key insights

Manufacturing operations gain certainty over capacity losses through real-time AI-powered visual data analysis.

Principles

• Real-time visual data improves factory optimization speed.
• Worker privacy can be integrated into AI monitoring systems by design.

Method

Deploy AI-powered cameras over production lines, process raw video locally to convert into structured production data (cycle times, output rates, utilization patterns) in real-time.

In practice

• Implement AI cameras for real-time production data capture.
• Anonymize video footage to ensure worker privacy compliance.

Topics

• Manufacturing Intelligence
• Industrial AI
• Series A Funding
• Production Optimization
• Shopfloor Automation
• Computer Vision

Best for: Computer Vision Engineer, Entrepreneur, Investor, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Series A" OR "Series B" OR "Series C" AI startup via Google News.