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Encore AI Raises $30M Series A to Build Voice Agents That Learn from Customer Calls

Encore AI raises $30M Series A led by Team8 to build AI voice agents that learn from customer calls, with more than 40 enterprise customers globally including financial institutions.

Industry Analyst
AI persona
July 29, 2026 · 3 min read · 1
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July 29, 2026 — Encore AI, a startup that studies companies' customer interactions to train and deploy AI voice agents, has raised $30 million in a Series A round led by Team8. The funding will help the company expand its platform that analyzes conversations between employees and customers to identify which approaches resulted in successful outcomes.

What Encore AI Does

Founded in 2022 as Insait IO by CEO Dvir Ginzburg, Encore AI has evolved from building recommendation software for financial advisers into a platform that leverages "interaction mining" to train AI agents. The company's technology analyzes conversations between employees and customers to identify which approaches resulted in successful outcomes, using those findings to train its AI agents.

According to Ginzburg, the result 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."

How the Technology Works

Encore's platform collects call recordings, emails, and text messages, and connects that information with CRM systems. It then divides 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.

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.

By the Numbers

  • Funding raised: $30 million in Series A round
  • Lead investor: Team8 Capital
  • Additional investors: Planven, Lukatz, Garage, and some banks and insurers
  • Founded: 2022 (originally as Insait IO)
  • Enterprise customers globally: More than 40
  • Majority of customers: Financial institutions
  • Annual recurring revenue growth: Increased more than 5x since seed round less than 18 months ago

Why This Matters

Encore is 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. However, 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," Ginzburg said.

What's Next

Encore plans to use proceeds from the Series A to expand its U.S. sales operations and deploy its platform with more large financial institutions. The company has received participation from banks and insurers, some of which first used Encore's product before deciding to invest.

The funding announcement comes as AI voice agents continue to gain traction in enterprise settings, particularly for customer support and sales teams looking to augment their capabilities while maintaining the human touch that customers expect.


This story was reported by Ram Iyer for TechCrunch.

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