Encore AI raises $30M to build AI agents from customer calls

Encore AI began in 2022 as Insait IO, initially focused on building recommendation software for financial advisers and relationship managers. The company has since rebranded and expanded that foundation into a platform designed to turn customer conversations into training material for AI agents. The core innovation is what the company calls "interaction mining."

The platform collects call recordings, emails, and text messages and integrates them with customer relationship management (CRM) systems. It then dissects customer interactions stage by stage to determine which conversational moves and tactics succeeded and which failed. The result is an understanding of which employee approaches work best at different points in a sales or customer success process. CEO Dvir Ginzburg described the outcome in an interview: "The agent we build is a package of many different playbooks that have worked throughout the process." He gave a specific example: "Sometimes our agents even tell the jokes that the relationship managers are telling, or give the anecdotes or examples that the relationship managers are giving, because we literally run by the playbooks that we see working."

Encore's agents can operate in two modes — communicating directly with customers via voice or text, or assisting employees by recommending responses and tactics during live conversations. The platform also helps companies identify where existing customer support and sales processes fall short, uncovering inefficiencies and friction points. The company currently serves more than 40 enterprise customers globally, with the majority in financial institutions. Annual recurring revenue has grown more than 5x since the seed round closed less than 18 months ago, though Ginzburg declined to disclose exact figures or valuation.

The Series A round of $30 million（約48億円） was led by Team8, with participation from Planven, Lukatz, Garage, and some banks and insurers. Some of the financial institutions in the round first became customers before deciding to invest. Encore plans to use the funding to expand U.S. sales operations and deploy the platform with additional large financial institutions. The competitive landscape includes large CRM vendors that could eventually build similar capabilities, but Ginzburg argues that access to data alone is insufficient—establishing competitors would need to fundamentally change their technological foundations to make conversational history the organizing principle of their AI systems.

Encore AI's Series A reflects growing demand for AI agents tailored to specific business processes rather than generic models. By treating conversational history — the recordings and transcripts of real customer interactions — as the foundation of its training, the company has built a system that learns from each customer's proven playbooks. This approach appeals particularly to financial institutions, where relationship managers and advisers have developed successful tactics over time that an AI can learn to replicate.

The company's claim to differentiation hinges on a structural insight: that large CRM vendors like Salesforce, SAP, Zoho, and HubSpot, despite controlling vast customer data, have not made conversational history central to their AI agents, and would face significant engineering effort to do so. CEO Ginzburg argues that those established players would need to "overhaul their entire implementation stack and technological stack" to prioritize this kind of learning. Whether that barrier holds as larger vendors begin to invest in conversational AI remains a key competitive risk for Encore.

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