Cortex 2.0 is designed to work throughout embodiments and purposes. Supply: Sereact
Sereact GmbH at this time mentioned it has raised Collection B funding of $110 million to scale its Cortex 2.0 “robotic mind” and help its entry into the U.S. market. The corporate has opened an workplace in Boston and is hiring native engineering, industrial, and utility staffers.
“We wager early you could’t construct actual robotics AI in a lab. You construct it with a knowledge flywheel fed by actual deployments — delivery into manufacturing, dwelling with the failures, and letting the mannequin be taught from what really occurs on the ground,” said Dr. Ralf Gulde, co-founder and CEO of Sereact. “The numbers present it labored. 2 hundred methods. One billion picks. One intervention per 53,000. No person else is shut.”
Based in 2021, Sereact mentioned it builds bodily AI for warehouses and manufacturing. Its Cortex mind runs throughout single-arm choosing cells, dual-arm returns stations, and humanoid robots, in addition to Sereact Lens, a 3D notion system for stock and high quality management.
The Stuttgart, Germany-based firm‘s present European prospects embody Daimler Truck, Mercedes-Benz, BMW, MS Direct, Lively Ants, DeltiLog, Rohlik Group, and Austrian Publish.
Sereact begins with AI for warehouse robots
“Sereact builds AI for robots that work within the bodily world,” mentioned the corporate. “Warehouses have been the primary deployment as a result of no different atmosphere gives the identical mixture of information factors: billions of actual interactions, each object form conceivable, arduous throughput constraints, and penalties when the robotic will get it unsuitable.”
Sereact claimed that Cortex learns from picks of bodily objects in real-world situations throughout buyer websites that no simulation can reproduce. Except for the one in 53,000 that require distant human intervention, the robotic can deal with picks by itself, feeding knowledge again into its mannequin in a closed loop.
“Each profitable decide, each failure, each restoration is captured with synchronized observations, robotic state, gripper pressure suggestions, and consequence — then filtered, prioritized by novelty and uncertainty, and used to replace the mannequin,” the corporate asserted. “Up to date insurance policies cross automated regression checks and roll out to the fleet. The loop closes. Knowledge compounds. Protection of the lengthy tail expands.”
“Opponents are elevating billions to coach on simulated knowledge and lab demos,” it added. “Sereact has spent 5 years coaching on actual operations, at evening, at peak, on the messy objects that don’t seem like something the robotic has seen earlier than. It’s a niche that widens with each shift.”
Editor’s word: Bodily AI, warehouse automation, and humanoid robots can be among the many matters mentioned on the 2026 Robotics Summit & Expo subsequent month in Boston. Register now to attend.
Cortex 2.0 anticipates outcomes earlier than it strikes
“Right now’s Cortex sees and picks,” mentioned Sereact. “Cortex 2.0 thinks first, then acts.”
Cortex 2.0 augments a vision-language-action (VLA) mannequin with a world mannequin. From the present state, it generates a set of potential trajectories; runs them towards a realized mannequin of physics and object conduct; and scores each for stability, danger, and effectivity. The robotic commits to the best-scored department and updates the rollout in actual time because the scene modifications, defined the corporate.
“The shift is from try-and-see to plan-and-try,” Sereact mentioned. “Right now’s reactive insurance policies, once they miss, are likely to repeat the identical movement and compound the failure.”
“Cortex 2.0 evaluates a number of outcomes first and guidelines out the unhealthy ones earlier than the arm strikes — which is precisely what’s wanted for the sort of work the place contact issues: assembling a part below rigidity, putting a windshield wiper with out scratching it, kitting elements that must land in precisely the precise orientation for the subsequent station,” it added.
Cortex 2.0 plans in “visible latent area,” in response to Sereact. Whereas joint instructions are tied to a particular robotic’s kinematics, the pixels encode regularities about objects, contact, and movement that switch throughout embodiments.
“The robotic goals in latent area,” mentioned Marc Tuscher, co-founder and chief know-how officer of Sereact. “We give it a type of creativeness — the flexibility to anticipate how the world will reply earlier than it strikes.”
“We don’t construct robots. We don’t promote providers. We ship one factor: the mannequin that runs on any robotic,” he mentioned. “Single arms, twin arms, humanoids, fastened cells — identical mind throughout all of it. {Hardware} is changing into a commodity. The mannequin isn’t.”
Sereact additionally famous that compute planning may be tuned to the duty. The know-how can present extra foresight when failure is dear, akin to in parcel packing, kitting, or putting fragile objects. It may plan much less when restoration is reasonable, like for a regrasp on a missed decide. “Cortex 2.0 spends planning funds the place it pays again,” it mentioned.
Cortex is designed to be taught from knowledge from real-world experiences. Supply: Sereact
Companies spend money on the info flywheel
Headline led Sereact’s newest funding, which included participation from Bullhound Capital, Daphni, and Felix Capital. Current traders Air Avenue Capital, Creandum (lead of Sereact’s 2025 Collection A), and Level 9 all returned for the Collection B spherical. The corporate has raised over $140 million to this point.
“The bodily AI alternative is without doubt one of the largest we’ve seen in a era, and we consider it would rewire world provide chains and manufacturing,” mentioned Trevor Neff, development companion at Headline.
“Behind nice alternatives and nice firms are nice founders, and Ralf and Marc are constructing into that chance the precise means: actual deployments, actual knowledge, and a mannequin that compounds and will get higher with each single decide,” he added. “Prospects love the product, which ends up in continued growth, solely accelerating the info flywheel — that is why we’re so excited to again Sereact.”
“After taking a look at a deluge of humanoid robotics firms, my fellow Accomplice Alon Kuperman and I have been delighted to satisfy Ralf and Marc, the co-founders of Sereact, who’ve constructed an AI working system that seamlessly retrofits into the world’s huge fleet of business robots already in motion,” mentioned Per Roman, founding companion at Bullhound Capital.
Antoine Nussenbaum, co-founder and investor at Felix Capital mentioned: “We see Sereact as a brand new era European champion, combining deep industrial know-how with world-class AI and robotics expertise to deal with one of many hardest challenges in world provide chains. At its core is a robust, compounding knowledge moat, the place each warehouse interplay makes the system smarter and tougher to duplicate.”
