Encore AI raises $30M to train AI agents from customer call playbooks

Encore AI, a startup rebranded from Insait IO, has secured $30 million in Series A funding led by Team8 to scale its “interaction mining” platform. The company analyzes call recordings, emails, and text messages combined with CRM data to identify which conversation fragments lead to successful outcomes. It then trains AI voice agents that deploy those proven playbooks—sometimes even repeating the same jokes or examples that top-performing relationship managers use. CEO Dvir Ginzburg told TechCrunch the agents can work autonomously or assist human employees by suggesting responses in real time. The approach gives financial institutions a way to standardize best practices from their best staff across the entire team.

With over 40 enterprise customers—mostly banks and insurers—Encore claims its annual recurring revenue has grown more than 5x since its seed round 18 months ago. The funding includes additional participation from Planven, Lukatz, Garage, and several financial institutions that first used the product before investing. The startup plans to use the capital to expand U.S. sales and deepen deployment with large financial firms. While CRM giants like Salesforce, SAP, Zoho, and HubSpot could build similar features, Ginzburg argues that few competitors properly leverage historical conversational data as the foundation for agent training, giving Encore a defensible niche.