Encore AI

Encore AI studies a company's customer interactions to train and deploy AI voice agents that can work alongside customer support and sales teams or operate on their own. The platform collects call recordings, emails and text messages and connects them with CRM systems.^[1]

It then divides the interactions into stages and tries to work out which parts of a conversation moved the process forward and which failed. CEO Dvir Ginzburg calls this process interaction mining. The agents it trains can communicate directly with customers by voice or text, or act as assistants to employees, recommending responses and tactics during conversations.^[1]

The company's pitch, in its own release, is that most enterprise AI agents are built to deflect calls and cut the number of customers who reach a human, while Encore was built to increase revenue from each customer interaction. It says its patented Interaction Mining technology studies an organization's top performers, extracts the specific actions that drive results, and deploys them as AI agents that run on their own or alongside live teams, across channels and languages, while meeting compliance requirements in regulated industries.^[2]

Ginzburg told TechCrunch the resulting agent is a package of many playbooks that have worked inside the customer's organization, down to the anecdotes and examples relationship managers use. The platform also lets companies see where their existing support and sales processes fall short. Encore says it can go live in weeks rather than months, and that one of its largest lending clients saw a 10x return on investment within months of implementation. That last figure is the company's claim, from its own release.^[1],[2]

TechCrunch noted that Encore is early to the market and that its share may be hard to defend, since large CRM providers such as Salesforce, SAP, Zoho and HubSpot could build similar capabilities around their customers' data. Ginzburg's answer is that access to data is not enough: those vendors, he said, do not treat conversational history as a data point and would have to change their implementation and technology stack to build agents on it.^[1]

Encore has more than 40 enterprise customers globally, most of them financial institutions, according to Ginzburg. Several large commercial banks and insurers that first came on as customers later chose to invest in the company after seeing the effect of the platform on their own operations.^[1],[2]

The company was founded in 2022 as Insait IO by CEO Dvir Ginzburg. It started out building recommendation software for financial advisers and relationship managers. In July 2026 Insait IO rebranded as Encore AI and announced its Series A in the same release. The announcement was datelined New York.^[1],[2]

On July 29, 2026 the company announced a $30 million Series A led by Team8, Planven and The Garage, alongside Lukatz and the banks and insurers mentioned above. TechCrunch describes the round as led by Team8, with the others participating; the company's own release names all three as leads, and this profile follows the release.^[2],[1]

The Garage also led Encore's pre-seed and seed rounds, according to a statement from the firm in the release. The amounts and dates of those earlier rounds were not found in the sources reviewed. The company said the Series A would fund expanded global deployment of its enterprise AI platform, and TechCrunch reported that the proceeds are earmarked for expanding U.S. sales operations and deploying the platform with more large financial institutions.^[2],[1]

Dr. Dvir Ginzburg is founder and CEO. The company's release says he founded Encore AI in 2022 and that his Ph.D. is in Geometric Deep Learning, with prior years as a recommendation-systems researcher at Microsoft. The release says Encore AI is headquartered in New York with a global presence in APAC and EMEA. No other executives are named in the sources reviewed.^[2],[1]