Agent Analytics AI is designed to provide comprehensive performance analytics for AI agents. Its unique features include tracking user interactions, measuring key performance indicators, and offering actionable insights to enhance operational efficiency. The platform utilizes advanced algorithms to analyze data, enabling users to optimize their AI strategies and improve engagement outcomes systematically. By focusing on user experience, Agent Analytics AI helps organizations ensure that their AI agents are performing at their best.

Ducky empowers teams to build, train, and deploy custom AI agents without writing code. You can ingest documents, spreadsheets, or CRM records as knowledge sources and configure intent recognition, entity extraction, and multi-step workflows via a drag-and-drop interface. Ducky supports integration with REST APIs, databases, and webhooks, and offers multi-channel deployment through web chat widgets, Slack, and Chrome extension. Real-time analytics give insights into conversation volume, user satisfaction, and agent performance. Role-based access controls and versioning ensure enterprise-grade governance while maintaining rapid iteration cycles.