Real-Time Insight Framework
An AI driven data processing layer was created to generate insights immediately after a device connects. Integrating LLM's into the processing pipeline, the platform auto-provisions and auto-parses new devices dynamically, removing the complexity of device identification and registration.
Real-Time Insight Framework
An AI driven data processing layer was created to generate insights immediately after a device connects. Integrating LLM's into the processing pipeline, the platform auto-provisions and auto-parses new devices dynamically, removing the complexity of device identification and registration.
Our client was looking to launch an AI-driven IoT platform designed to unify device data, streamline integration, and reduce time-to-insight. The platform needed to be technically robust and scale to meeting their large customer demands. The project faced four critical challenges:
The goal was to create a scalable approach that would help customers move from device connection to actionable intelligence in minutes—without requiring specialized knowledge.