
Further development of robotic AI (www.industrial-production.de)
Sereact secures 110 million dollars
Sereact secures 110 million US dollars in a Series B round. The capital will be used to further develop the Cortex 2 AI platform - a solution in which robots actively take over picking processes in warehouses and production.

Food logistics (www.materialfluss.de)
AI robotics program: Sereact and Rohlik Group cooperate
Sereact and the Rohlik Group want to work together to drive forward the industrial scaling of AI-controlled robotics in the e-grocery sector. With the launch of an AI robotics program at several locations in Germany and Austria, the two companies want to show that the technology has left the proof-of-concept behind. The initiative is starting with 24 robots and has the potential to grow to a three-digit number in the coming phases.

More efficiency in picking processes (www.industrial-production.de)
Active Ants relies on AI robotics from Sereact
The logistics service provider Active Ants, which specializes in e-fulfillment, relies on innovative robotics solutions from Sereact for its picking processes. The pioneer in the field of embodied AI for robotics is equipping the Active Ants site in Dorsten, North Rhine-Westphalia, and subsequently all of the company's other international sites in the Netherlands, Belgium, France and the UK with robots.

Reesink Logistic Solutions and Sereact (www.computer-automation.de)
AI-supported warehouse automation
Reesink Logistic Solutions (RLS), a provider of automated warehouse solutions, and Stuttgart-based technology company Sereact have entered into a strategic partnership. The aim of the collaboration is to take robot-assisted article handling to a new level using artificial intelligence.

AWL and Sereact (www.computer-automation.de)
AI-supported robot solutions for industrial automation
The Stuttgart-based AI robotics company Sereact and AWL are entering into a strategic partnership. The aim is to integrate Sereact's AI model into AWL's robotics solutions in order to offer highly flexible, self-learning automation systems for the intralogistics industry.
