CIS (Collab Intelligence Substrate)

CIS is built on core technologies in cryptography and distributed AI, providing an efficient collaborative computing architecture for both AI training and inference. The platform supports edge-cloud collaborative inference, allowing latency-sensitive tasks to run locally whilst offloading more complex workloads to the cloud only when necessary. This enhances deployment efficiency whilst addressing the latency and generalisation challenges commonly encountered in robotics and intelligent devices. Furthermore, CIS supports on-device training, enabling model iteration without requiring user data to leave the device. This design helps preserve privacy and commercial confidentiality whilst allowing AI systems to continuously improve over time. CIS is designed for a multi-layer computing environment spanning edge devices to data centres, and can support applications such as robot VLA, intelligent vehicle cabins, autonomous driving, and smart hardware. In current demonstrations, the system is already capable of real-time perception, event-triggered inference, structured semantic outputs, timeline analysis, and edge-cloud collaborative reasoning.