Samsung backs industrial robotics startup Theker in €85m round

2026-06-11 · Source: Sifted · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Spanish industrial robotics startup Theker, based in Barcelona, has secured an €85m Series A funding round, led by US investor CRV, with significant participation from South Korean manufacturing giant Samsung and French luxury retail group LVMH. This investment follows a €18m seed round less than a year prior. Theker specializes in developing AI-powered robots that integrate deep learning and computer vision, enabling them to learn and adapt in real-time to dynamic industrial environments without requiring constant reprogramming. These systems are designed for applications across waste management, logistics, food, manufacturing, and retail, with current deployments including automating tasks for Spanish retailer Inditex's logistics operations. The new capital will accelerate robotic deployments with industrial partners, enhance technology, and expand the team in software, electronics, mechanical engineering, and deployment roles.

Key takeaway

For Automation Engineers evaluating robotics solutions for unpredictable industrial settings, Theker's €85m funding round highlights a growing trend towards adaptable, AI-driven systems. You should investigate solutions that integrate deep learning and computer vision for real-time environmental adaptation, reducing the need for constant reprogramming. This shift enables more practical and scalable robot deployments in dynamic operations like logistics and manufacturing, potentially accelerating your automation roadmap and operational efficiency.

Key insights

Theker's AI-powered robots adapt to dynamic industrial environments in real-time, eliminating the need for reprogramming.

Principles

• Industrial robots must adapt to changing conditions.
• Real-time learning enhances robot utility.
• Deep learning and computer vision enable adaptability.

Method

Theker combines deep learning and computer vision to create robots that learn in real-time and adapt to changing industrial environments without manual reprogramming.

In practice

• Automate logistics tasks with adaptable robots.
• Deploy robots in waste management and manufacturing.
• Integrate AI for real-time operational improvements.

Topics

• Industrial Robotics
• AI Automation
• Deep Learning
• Computer Vision
• Startup Funding
• Logistics Automation

Best for: Investor, Director of AI/ML, Automation Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.