Classify intents and extract key entities from complex natural language queries.
- 5~100MModel Size (ROM)
- 10~300MMemory Usage (RAM)
- <0.2sResponse Latency
- >90%Accuracy
Our Edge
LLM-grade understanding and tool-calling accuracy at a fraction of the size
Handles complex expressions and natural, free-form phrasing
Runs directly on wearables, cars and edge devices
Integrates with Aizip KWS, ASR & TTS for complete voice AI pipeline
Customizable for domain-specific intents and entities