"Sereact's technical approach is grounded in Vision Language Action Models (VLAMs): AI systems that combine computer vision, natural language understanding, and action planning into a single model, allowing robots to perceive their environment, interpret instructions, and execute physical tasks without requiring complex programming or environment-specific pre-training."
"A robot picking a fragile object can, in principle, evaluate whether its planned grip will cause damage before its gripper closes. That capability is the meaningful differentiator in a market where most industrial robotics still operate on pre-programmed sequences that assume a controlled, predictable environment."
"Sereact's software-first approach, explicitly positioned against the hardware-first strategies of most robotics companies, aims to make robots smarter and more adaptable to different tasks, addressing the challenges posed by unpredictable environments in warehouses and manufacturing floors."
Sereact, an AI robotics software company based in Stuttgart, secured $110 million in a Series B funding round led by Headline, with participation from new investors Bullhound Capital, Felix Capital, and Daphni. The funds will enhance Sereact's core AI model, which integrates computer vision, natural language understanding, and action planning. This technology allows robots to adapt to various tasks in unpredictable environments, differentiating Sereact from traditional robotics that rely on pre-programmed sequences. Founded in 2021 by former AI researchers, Sereact aims to scale its deployment across logistics and manufacturing sectors.
Read at TNW | Investors-Funding
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