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Encore AI raised a $30 million Series A led by Team8 to expand its platform for turning customer calls, messages, and CRM data into playbooks for AI voice agents.

Encore AI has raised $30 million in a Series A round led by Team8. The startup studies customer interactions to train and deploy AI voice agents that can work alongside customer support and sales teams or operate autonomously.
The company plans to use the funding to expand its U.S. sales operations and deploy its platform with more large financial institutions.

Encore’s platform analyzes call recordings, emails, text messages, and CRM data to identify which parts of customer conversations lead to successful outcomes. CEO Dvir Ginzburg calls the process “interaction mining,” with the system breaking interactions into stages and finding where conversations move forward or fall short.
The goal is to turn effective techniques into playbooks that AI agents can use in future customer conversations.
Encore says its agents can communicate directly with customers by voice or text. They can also act as assistants to employees by recommending responses and tactics during live conversations.
For buyers evaluating AI sales or support tools, the key takeaway is Encore’s focus on learning from a company’s own historical conversations rather than relying only on generic automation workflows.
Encore has more than 40 enterprise customers globally, most of them financial institutions, according to Ginzburg. The company says annual recurring revenue has grown more than 5x since its seed round less than 18 months ago, though it did not disclose exact revenue or valuation.
Large CRM providers including Salesforce, SAP, Zoho, and HubSpot could build similar AI capabilities around customer data. Encore’s argument is that conversational history is central to its architecture, not a bolt-on data source.
Team8 led the Series A, with participation from Planven, Lukatz, Garage, and some banks and insurers. Encore said some participating financial institutions used its product before deciding to invest.
That customer-investor overlap matters because it signals demand from the same types of enterprises Encore wants to target next.

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