Summary

• Theker has raised an $85m Series A led by CRV, with Samsung, LVMH, Cathay, 20VC, Henkel, Korelya, Sonae, Mercadona, and existing investors participating.
• The company is building AI-native industrial robots designed to adapt to mixed products, irregular objects, and changing production environments without manual reprogramming.
• The round places European robotics closer to operational deployment in logistics, manufacturing, retail, and industrial automation rather than laboratory demos alone.

Theker, the Barcelona-based AI robotics company, has raised $85m in Series A funding to expand industrial robot deployments across European production environments.

The round was led by CRV, with participation from Samsung, LVMH, Cathay, 20VC, Henkel, Korelya, Sonae, and Mercadona. Existing investors, including Inditex, Kfund, Kibo Ventures, Mission, and Itnig, also joined the financing. Cathay described the round as Europe’s largest ever robotics Series A.

Theker was founded in 2022 by robotics and AI engineers Carla Gómez Cano and Jiaqiang Ye Zhu. The company develops full-stack, AI-native “generalist” robots for industrial production settings, with systems designed to handle changing environments, mixed SKUs, irregular shapes, and operational variability without the manual reprogramming normally associated with traditional industrial robotics.

The company says its robots are already deployed in live production environments across Europe, with applications in manufacturing, logistics, retail, and other industrial settings. The new funding will be used to accelerate deployments with industrial operators, deepen the company’s proprietary AI and robotics stack, and expand teams across software, electronics, mechanical engineering, and implementation.

Industrial robotics has long promised productivity gains, but many deployments remain constrained by rigidity. Traditional robots perform well when the task is stable, the object is predictable, and the surrounding environment can be engineered around the machine. That model works for many automotive and electronics production lines. It is harder to apply in warehouses, retail fulfilment, food and beverage, waste management, and other operational environments where objects vary, product mixes change, and margins cannot absorb endless custom integration.

Theker is working in that gap between fixed automation and messy industrial reality. Rather than building a robot for one carefully defined task, it is trying to make machines that can adapt in production and keep learning after deployment. That pulls the company into a broader shift in AI, where models and control systems are being tested inside physical operations where reliability, uptime, safety, and integration with existing workflows decide whether the technology survives procurement.

The investor mix is unusually revealing. Samsung’s involvement brings manufacturing and technology credibility. LVMH’s participation points to retail, luxury logistics, and complex product-handling use cases. Inditex’s continued backing gives Theker a route into large-scale fashion logistics and fulfilment operations, where product variety and labour constraints are persistent operational problems.

Europe has strong robotics research, dense manufacturing clusters, and serious demand from logistics, retail, healthcare, food, and industrial firms. The harder task has been scale: translating prototypes into repeatable products, securing deployment capital, and building supplier relationships with large customers that are conservative about operational risk. A robot that works in a demonstration cell can still struggle across sites with different layouts, product mixes, safety rules, and labour practices.

Theker’s financing does not remove those execution challenges. Robotics companies can burn capital quickly, and real-world deployments expose weaknesses that never appear in controlled tests. Machines need maintenance, certification, operator training, workflow integration, software updates, and credible economics. Buyers will not pay for adaptable robots unless they reduce cost, improve throughput, or solve labour constraints without creating a new layer of operational fragility.

The round still gives European industrial automation a more substantial reference point. AI robotics is moving beyond research labs and humanoid spectacle into warehouses, factories, retail operations, and materials-handling environments where companies need automation that can absorb variability rather than forcing operations into artificial uniformity. If Theker can deliver that in production, Barcelona’s robotics funding story becomes part of a larger industrial question: whether Europe can build the automation platforms its own economy will increasingly need.