Encore AI raises $30M to build AI agents that learn from customer calls | TechCrunch

The startup analyzes calls, messages and CRM data to identify effective sales techniques and turn them into playbooks for AI agents.

Encore AI, a startup that studies companies’ customer interactions to train and deploy AI voice agents that can work alongside customer support and sales teams, or operate autonomously, has raised $30 million in a Series A round led by Team8.

Founded in 2022 as Insait IO by CEO Dvir Ginzburg, the company started out building recommendation software for financial advisers and relationship managers. Now rebranded as Encore AI, the startup has expanded that system into a platform that analyzes conversations between a company’s employees and customers to identify which approaches resulted in successful outcomes, and uses those findings to train its AI agents.

The result, according to Ginzburg, is an AI agent that leverages the strongest parts of the playbooks used by an organization’s employees.

“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 told TechCrunch in an exclusive interview.

Ginzburg calls the process “interaction mining.” The company’s platform collects call recordings, emails, text messages, and connects that info with CRM systems. It then divides the customer interactions into stages and tries to find out which parts of a conversation helped move the process along, and which failed.

This lets Encore’s agents, and consequently its customers, learn what works best for any particular client or interaction, as different employees may be either more or less effective at different points during a sales or customer success process, Ginzburg told TechCrunch.

The company’s platform also lets companies identify where their existing customer support and sales processes are falling short, identify inefficiencies and friction points, and find key issues.

Encore says its agents can communicate directly with customers by voice or text, as well as act as assistants to employees, recommending responses and tactics during conversations.

The company has more than 40 enterprise customers globally, the majority of which are financial institutions, according to Ginzburg. He said Encore’s annual recurring revenue has increased more than 5x since it raised its seed round less than 18 months ago, though he declined to disclose exact revenue numbers or valuation.

Encore’s early to this market, but its share may become harder to defend as large CRM providers like Salesforce, SAP, Zoho, and HubSpot can build similar AI capabilities around their customers’ data. But Ginzburg contends that access to data alone isn’t enough, as established vendors would need to overhaul their processes to make historical customer conversations the foundation of their agents like Encore does.

“The biggest players that we are competing against, they don’t see [conversational] history as a data point that they are utilizing. For them to start asking for conversational data with their current employees will require changing their entire implementation stack and technological stack,” he said.

Planven, Lukatz and Garage also participated in the round, as did some banks and insurers. Encore said some of the financial institutions participating in the round first used its product before deciding to invest.

The startup plans to use proceeds from the Series A to expand its U.S. sales operations and deploy its platform with more large financial institutions.