Encore AI Secures $30M to Expand AI Agents for Customer Calls

Encore AI has raised $30 million in a Series A funding round as it looks to accelerate the development of AI-powered voice agents that learn directly from customer interactions. The investment round was led by Team8, with participation from Planven, Lukatz, Garage, as well as several banks and insurance companies.

Originally founded in 2022 as Insait IO, the startup was launched by CEO Dvir Ginzburg. The company initially focused on recommendation software designed for financial advisers and relationship managers. Since then, it has rebranded to Encore AI and shifted its focus toward helping businesses improve customer support and sales through AI trained on real conversations.

Encore AI’s platform analyzes customer interactions across multiple communication channels, including call recordings, emails, text messages, and data connected through CRM systems. The technology breaks each interaction into different stages to identify which conversation techniques contributed to successful outcomes and which approaches were less effective.

According to Ginzburg, this process—called “interaction mining”—allows the company to build AI agents that adopt the most successful communication strategies already used within an organization.

In an exclusive interview with TechCrunch, Ginzburg explained that the AI agents can even replicate the communication style of top-performing 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 said.

Rather than relying on a single conversation model, Encore’s AI combines successful playbooks gathered from many customer interactions. The platform continuously identifies which employees perform best at different stages of a sales or customer success journey, enabling its AI agents to deliver responses that are tailored to each situation.

Beyond automating conversations, the platform also helps businesses evaluate their existing customer support and sales operations. Companies can use the insights to uncover inefficiencies, identify friction points, and better understand where customer interactions can be improved.

Encore says its AI agents are capable of communicating with customers through both voice and text. They can either operate independently or serve as assistants to human employees by recommending responses and conversation strategies during live interactions.

The company currently serves more than 40 enterprise customers worldwide, with most of them coming from the financial services sector. Ginzburg revealed that Encore’s annual recurring revenue (ARR) has grown by more than five times since its seed funding round less than 18 months ago. However, he did not disclose the company’s revenue figures or valuation.

Although Encore has established an early position in the AI customer interaction market, competition could intensify as major CRM providers such as Salesforce, SAP, Zoho, and HubSpot introduce similar AI capabilities into their platforms.

Ginzburg believes Encore’s competitive advantage lies in how it uses historical customer conversations as the foundation for training AI agents. He argued that simply having access to customer data is not enough for larger software providers.

“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.

Interestingly, some of the financial institutions that participated in the Series A funding round first became customers before deciding to invest in the company.

Looking ahead, Encore AI plans to use the newly raised capital to strengthen its U.S. sales operations and expand deployments of its AI platform across more large financial institutions.

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