Gasgoo Munich- SENAD has recently closed a new financing round worth nearly 200 million yuan, according to Gasgoo Embodied Intelligence. This marks the company's fourth funding round in six months.
SENAD is focused on reshaping the "last 20 meters" of industrial logistics using AI and models. To that end, the company has developed the Robot Insight model. As the logistics industry's first multi-modal vertical large model, Robot Insight deeply integrates cutting-edge technologies like end-to-end physical AI reinforcement learning control, a decoupled dual-core architecture featuring an industrial brain and a robot cerebellum, and multi-modal perception with physical AI. It breaks through the core bottlenecks of traditional rigid automation and pre-programmed robots—specifically their "programmatic execution" and poor scenario adaptability—allowing it to autonomously handle complex logistics tasks such as loading, unloading, sorting, and palletizing.
Image Source: SENAD
Earlier at WRC2026, SENAD showcased its iLoabot series of embodied intelligent solutions, simultaneously releasing the iLoabot-M 2.0 iteration and the iLoabot-X 2.0 heavy-load de-palletizing solution. The demonstration highlighted end-to-end capabilities spanning "loading and unloading, code reading, and de-palletizing."
The core breakthrough in the iLoabot-M 2.0 upgrade is its expansion from single-SKU standardized scenarios to more complex, multi-SKU mixed-code environments. By optimizing model algorithms and combining them with hardware-side flexibility, SENAD has equipped the robot with autonomous perception and task planning capabilities. This allows it to break free from "preset path" limitations and complete grasping and stacking autonomously without pre-entering box specifications—significantly boosting accuracy in complex mixed-load scenarios.
Meanwhile, the iLoabot-X 2.0 de-palletizing solution achieves stable operation at 46 kg, filling a capability gap for embodied robots in the heavy-load de-palletizing sector. It also features a flexible operating mode that requires no preset pallet positions.
Currently, SENAD's iLoabot series serves top-tier clients across tobacco, alcohol, FMCG, logistics, and high-end manufacturing. By continuously feeding field experience and customer feedback back into product R&D, the company has established a positive cycle of "scenario implementation, experience accumulation, and product upgrade"—building a scenario-based technical barrier that is difficult to replicate.
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