Emma

Emma provides a system to create a chatbot that connects to business data and integrations, enabling users to retrieve information without manual searches or team inquiries. The tool targets teams and organizations needing a data-trained assistant that can assist with inquiries across various use cases and data sources.

Emma offers a way to deploy a help-desk chatbot by linking data sources and uploading documents. It supports connecting spreadsheets or other data sources to engage with the chatbot quickly, making it suitable for support workflows and knowledge retrieval tasks.

Emma trains its assistants by asking questions about the information to know, allowing the assistant to learn from user interactions and become a more capable helper over time. The system emphasizes incremental improvement through interaction and data exposure to tailored knowledge.

Users interact with Emma via multiple channels, including a chat webpage, a desktop application, integrations, and the Emma API. The design supports cross-platform access and flexible deployment across different environments, enabling teams to communicate with the assistant in their preferred mode.

Use cases

• Personalized assistant that accesses business data and integrations
• Help-desk chatbot connected to data sources
• Team-specific assistants with controlled access