Kyrok secures €3.1M to bring AI to pharma and chemical supply chains

2026-06-23 · Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Supply Chain & Logistics, Operations & Process Management · Depth: Fundamental Awareness, quick

Summary

Berlin-based industrial AI startup Kyrok has secured €3.1 million in pre-seed funding, led by Speedinvest, to develop an AI operating system specifically for pharmaceutical and chemical supply chains. Founded in 2025 by Daniel Hofinger and Lukas Bierfreund, Kyrok targets European SMEs struggling with legacy systems, manual processes, and the loss of institutional knowledge due to an aging workforce. Their platform acts as an application layer over existing ERPs, using AI agents to streamline workflows, support order intake, and capture operational expertise without requiring costly system migrations. Pilot projects with several SMEs show the system captures over 80% of complex orders error-free and reduces routine task errors, freeing up employee time. The funding will support further development, module expansion, and team growth.

Key takeaway

For Directors of Operations or AI/ML leaders in pharmaceutical and chemical SMEs, Kyrok's funding signals a viable path to modernize supply chains without full ERP overhauls. You should evaluate AI operating systems that integrate as an application layer to preserve critical institutional knowledge and improve productivity. Consider pilot projects to validate error reduction and efficiency gains in customer service or production planning.

Key insights

AI operating systems can modernize legacy supply chains by integrating with existing ERPs and capturing institutional knowledge.

Principles

• AI agents can preserve operational knowledge.
• Integrate AI as an application layer.
• Modernize without costly migrations.

Method

Kyrok's platform integrates as an application layer over existing ERP systems, providing a single interface where AI agents guide workflows and learn from user interactions to capture operational expertise.

In practice

• Implement AI for customer service order intake.
• Use AI agents to reduce routine task errors.
• Digitize institutional knowledge before retirement.

Topics

• AI Operating Systems
• Supply Chain Management
• Pharmaceutical Industry
• Chemical Industry
• SME Digitalization
• ERP Integration

Best for: Executive, Investor, Director of AI/ML, Consultant, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.