Encore AI raises $30M to train voice agents on real customer calls

Encore AI was founded in 2022 as Insait IO by CEO Dvir Ginzburg, initially building recommendation software for financial advisers and relationship managers. Since rebranding as Encore AI, the company has expanded that system into a platform that analyzes conversations between a company’s employees and its customers to identify which approaches produced successful outcomes, then uses those findings to train AI agents that can work alongside support and sales teams or operate on their own.

The result, Ginzburg told TechCrunch in an exclusive interview, is an agent built from what already works inside an organization. “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 […] The agent we build is a package of many different playbooks that have worked throughout the process,” he said. Ginzburg calls the underlying process “interaction mining”: the platform ingests call recordings, emails, and text messages, connects them to CRM data, and breaks conversations into stages to determine which parts moved a deal or support case forward and which caused it to stall. That same analysis lets companies spot inefficiencies and friction points in their existing sales and support processes. Encore’s agents can then talk to customers directly by voice or text, or work alongside employees by suggesting responses and tactics in real time.

The company has more than 40 enterprise customers globally, most of them financial institutions, according to Ginzburg, and its annual recurring revenue has grown more than 5x since it raised a seed round less than 18 months ago — though he declined to share exact revenue or valuation figures. Encore is early to the market, but Ginzburg acknowledged that large CRM vendors like Salesforce, SAP, Zoho, and HubSpot could build comparable AI capabilities using their own customer data. He argued, however, that data access alone isn’t enough: incumbents would need to overhaul their existing technology stacks to treat historical conversations as the foundation for their agents, the way Encore already does. Planven, Lukatz, and Garage also joined the round, along with some banks and insurers — some of which used Encore’s product before deciding to invest. The company plans to use the funding to expand its U.S. sales operations and deploy its platform with more large financial institutions.

Why it matters

As enterprise software incumbents race to bolt AI agents onto their existing platforms, Encore is betting that treating a company’s own conversation history as training data — not just access to customer records — is the harder thing for established CRM vendors to replicate.