THCHNOLOGY
Sensor powered LLM
Multimodal insight and always‑on awareness fuel AI
Continuous multimodal streams—sensor readings, camera frames, environmental metrics, and system logs—flow into a single ingest layer and are mapped to a living context graph. Domain-tuned LLM agents query this graph in real time, synthesising insight, selecting the next operation, and dispatching deterministic API calls within milliseconds.
Automate data orchestration with context-aware AI
Standardizing Flood-Related Data(KISTI)
Ingest live audio, video, environmental, and behavioral streams, then fuse them into a low-latency context graph that pinpoints each entity, its time-space coordinates, and the state transitions around it—from sensor anomalies to demand surges.
Generate the next-best action
Domain-tuned LLM agents reason over the context graph in milliseconds, outputting deterministic JSON action plans and explanatory messages that scale compute clusters, reroute data streams, or tune edge-device parameters—all through a single API.
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