Intent Recognition & NLU
Accurate intent classification and natural language understanding pipelines to route user requests and trigger downstream actions.
Build conversational AI: intent understanding, entity extraction, dialog management, RAG-powered answers and multi-channel deployment.

Accurate intent classification and natural language understanding pipelines to route user requests and trigger downstream actions.
High-precision entity and slot extraction (NER, custom entity types) with post-processing to normalize and validate extracted values.
Multi-turn dialog architectures with context tracking, state management, fallbacks and handoffs to human agents when needed.
Combine vector search over your knowledge base with LLMs to produce accurate, grounded answers and reduce hallucination in conversational flows.
Support for multiple languages, locales and voice channels with optional speech-to-text and text-to-speech integrations.
Channel integrations (web, mobile, WhatsApp, IVR), scalable deployment and conversation monitoring with metrics and alerts.