A significant share of your agents' time goes to repetitive questions. Our natural language processing solutions take on that load while staying faithful to your corporate language and terminology. With a RAG (retrieval augmented generation) architecture, answers are grounded in your own documents.
Use cases
- Customer service and contact centre support assistants
- Internal knowledge base and HR assistants
- Document summarisation and automatic classification
- Sentiment analysis and customer feedback mining
- Voice assistants and speech-to-text
All assistants are designed to cite their source, so users can verify where an answer came from.