Barcelona robotics startup Theker secures $85M to replace rigid factory lines with generalist AI machines

The era of the single-purpose industrial robot is officially over. In a manufacturing market historically obsessed with rigid specialization, Barcelona-based robotics company Theker just closed an $85 million Series A, shattering European funding records. The company originally set out to raise between $30 million and $40 million but ultimately pulled in more than double its target from eager investors. The thesis driving this massive influx of capital is simple but economically lethal to legacy automation providers: modern logistics are far too chaotic for expensive machines that require manual reprogramming for every minor tweak on the assembly line.

Theker, founded in 2022 by engineers Carla Gómez Cano and Jiaqiang Ye Zhu, is building AI-native generalist robots designed to adapt on the fly. Rather than performing one highly optimized, repetitive function, Theker's hardware can physically swap its hands, arms, and overall form depending on the immediate task. Whether a facility needs to sort mixed retail packages, pack high-end clothing, or handle heavy warehouse materials, the same underlying intelligence runs the show.

The money backing this vision is as diverse as the robot's own capabilities. American venture capital powerhouse CRV led the historic round, but the strategic investors involved reveal the true industrial stakes. Tech heavyweight Samsung and luxury conglomerate LVMH’s Aglae Ventures have both taken a seat at the table. Inditex, the parent company behind global retail giant Zara, is also an existing investor doubling down on the technology. This unique combination of consumer tech, high fashion, and retail investors highlights a universal panic across major industries regarding persistent global labor shortages and inflexible supply chains.

"We didn't build THEKER to run pilots. We built it to ship robots that work the day they arrive and continue improving every day after," said Gómez Cano. By bypassing sluggish corporate innovation labs and selling directly to logistics and operations managers, the startup is accelerating industrial deployment timelines from agonizing years to mere days.

This pragmatism represents a stark pivot from the tech industry's recent infatuation with humanoid robotics. While flashy startups spend billions trying to perfectly mimic human bipedal movement, Theker is tackling the messy, unglamorous reality of the factory floor through raw adaptability. If a package is misshapen or an unexpected product SKU comes down the belt, the generalist AI adjusts its grip and approach in real time without human intervention. The system learns continuously in live production, drastically reducing the costly downtime that plagues rigid, single-task automation systems.

The financial implications of this flexible model are vast. Legacy automation requires massive upfront capital expenditures and extensive engineering downtime just to reconfigure a production line for a new product. By deploying generalist machines capable of switching tasks seamlessly, enterprise operators can protect their tight profit margins against rapidly shifting consumer demands. Furthermore, Samsung is reportedly in advanced discussions to deepen its relationship with the startup. Operating as a customer, supplier, and investor simultaneously would provide Theker with an unparalleled advantage in hardware procurement and manufacturing credibility.

Armed with its fresh capital, the startup is aggressively expanding its physical and operational footprint. Theker plans to scale its workforce from a few dozen to 120 employees by the end of the year to support its software, electronics, and mechanical engineering divisions. The company is currently operating out of a central Barcelona showroom but is actively plotting immediate expansions across Europe, the United States, and Asia.

In an industry littered with endless pilot programs and theoretical capabilities, Theker has managed to sell global manufacturing titans on a radical, highly practical idea. The factory of the future does not need fragile robots that do one thing perfectly; it requires resilient machines that can do everything well enough to keep the line moving.