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Embedded sensing, conversational interaction and coordinated agent systems across cloud and edge environments — designed for adaptive intelligence at scale.
Our product architecture connects visual sensing, acoustic understanding, spatial depth, speech interfaces, multimodal perception, and agent-driven orchestration into a unified, scalable intelligence mesh. From edge devices to cloud orchestration layers, interactions remain synchronized, context-aware, and policy-aligned.
Each product integrates multimodal perception, conversational interfaces, and agent-driven intelligence across cloud and embedded compute layers for unified situational awareness and continuous coordination.
Vision, audio, speech, video, depth, LiDAR, environmental signals — with IMU as needed for motion context.
Voice, text, and ambient dialogue unified into situational language interaction across devices.
Multi-role agents managing routing, oversight, prioritization, and orchestration across cloud and edge nodes.
A distributed platform enabling synchronized vision, audio, speech, depth, ambient sensing, and cloud–edge agent coordination as one operational ecosystem.
Vision, audio, speech, video streams, depth sensing, LiDAR, and motion signals where applicable.
Sensor fusion, spatial mapping, acoustic localization, state synchronization.
Speech + language + memory + context for adaptive exchanges.
Role-based agents executing routing, policy steps, and cooperative tasks.
Coordinated updates, secure rollout, telemetry feedback, node synchronization.
Video, speech, audio, depth, LiDAR, and motion if present.
Cross-modal understanding and sync.
Speech + language with live situational context.
Cooperative task execution across agent roles.
State persistence, distributed update & control.
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