Collaborative Intelligence Substrate (CIS) CIS focuses on the action layer of artificial intelligence. Through an edge–cloud collaborative inference architecture CIS addresses key challenges faced by robots and intelligent devices when running models locally including latency constraints and limited generalization. This enables high-performance on-device AI while significantly improving deployment efficiency and accelerating large-scale product adoption. In addition CIS enables on-device training allowing data required for model iteration to remain on user devices. This ensures strong protection of user privacy and commercial confidentiality while enabling continuous improvement and evolution of AI capabilities. Building on CIS the company further develops edge-native foundation models tailored to real-world application needs enabling rapid deployment across diverse scenarios including robotics VLA intelligent vehicle cabins autonomous driving and AI-powered smart hardware.
Product Specifications
The Collaborative Intelligence Substrate (CIS) enables efficient deployment and continuous optimization of AI models across robotics and intelligent hardware through edge–cloud collaborative inference and on-device training capabilities. In terms of inference performance CIS utilizes an edge–cloud task orchestration mechanism to significantly reduce local model latency while improving stability and generalization in complex real-world environments. For training performance CIS supports on-device continuous training and distributed model updates allowing data required for model iteration to remain on local devices. This ensures strong protection of user privacy and commercial data confidentiality while enabling continuous improvement of AI capabilities. In terms of deployment efficiency CIS supports heterogeneous computing architectures including CPU GPU and NPU and is compatible with diverse device form factors. This significantly improves large-scale AI deployment efficiency across robotics and AI hardware scenarios. By reducing dependence on cloud compute resources and network bandwidth CIS also lowers total system operating costs while improving long-term system stability and scalability.
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