Encore AI raises 30 million dollars as customers become investors

The distinctive idea in this funding round is buried in a single word the founder keeps using, and it is worth pulling out. Encore AI, an enterprise startup that builds AI voice agents for customer support and sales, has raised 30 million dollars in a Series A round led by Team8. What sets it apart from the crowded field of AI customer-service tools is a technique its chief executive Dvir Ginzburg calls interaction mining, the practice of studying a company's own real conversations with its customers to work out which approaches actually succeed, and then training AI agents to copy them. Rather than building a generic chatbot and hoping it works, Encore reverse-engineers the playbooks of an organization's best human performers and bottles them. The mechanics are what make the pitch compelling. Encore's platform ingests a company's call recordings, emails and CRM data, breaks each conversation into stages, and identifies precisely which moves pushed a deal forward and which killed it. The AI agents it then deploys bundle the strongest tactics of an organization's top salespeople and relationship managers, sometimes uncannily so. Ginzburg says the agents will occasionally tell the same jokes the human relationship managers tell, or offer the same anecdotes and examples, because, in his words, the system literally runs by the playbooks it sees working. Those agents can talk to customers directly by voice or text, or ride alongside human staff as a real-time assistant suggesting responses mid-conversation. Crucially, Encore frames its purpose differently from most of its rivals. Where many AI agents are designed to deflect calls and keep customers away from human staff to cut costs, Encore positions itself as a revenue generator, built to extract more value from every interaction by replicating what the best closers do, on the logic that top performers are scarce and disproportionately valuable. The company's trajectory and backing lend the approach credibility. Encore was founded in 2022 as Insait IO by Ginzburg, and originally built recommendation software for financial advisers and relationship managers before rebranding and expanding into agentic AI. That heritage shows in its customer base, with more than 40 enterprise customers globally, the majority of them financial institutions, and the company says its annual recurring revenue has grown more than fivefold since its seed round less than 18 months ago, though it declined to disclose exact revenue or valuation. The most telling detail about the raise is who wrote the cheques. Alongside lead investor Team8, the round drew participation from Planven, Yasmin Lukatz and Garage, but also from several banks and insurers, some of which were paying customers before they became investors. Customers turning into backers is one of the more reliable signals of genuine product-market fit, because it means the people who use the product daily liked it enough to bet their own money on the company. The capital will fund an expansion of Encore's US sales operations and deeper deployments with large financial institutions. The strategic significance, and the regional angle, is where this becomes broadly relevant. Encore embodies a wider shift in enterprise AI, away from relying solely on general-purpose large language models and toward training specialized agents on a company's own proprietary interaction data, on the theory that what actually works in real conversations beats what a generic model guesses. That thesis has particular resonance in the Gulf, where the customer base Encore already serves, financial institutions, is precisely the sector driving AI adoption. Banks and insurers across the UAE, Saudi Arabia and the wider region have been among the most aggressive enterprise adopters of AI, investing heavily in customer-facing automation as part of national digital-transformation agendas, and they share exactly the problem Encore targets, large volumes of customer interactions across call centers and relationship-management teams where the quality of the conversation directly drives revenue. A platform that mines those interactions and scales the tactics of top performers is the kind of tool regional banks racing to modernize will find attractive, and Encore's financial-services focus positions it naturally for eventual Gulf expansion, where it would compete against both global CRM incumbents and a growing crop of regional AI startups. The honest caveats are real and Encore's own investors would acknowledge them. Being early to a market is an advantage that erodes quickly, and the large CRM providers, Salesforce, SAP, Zoho and HubSpot, already sit on vast troves of customer-interaction data and could build similar capabilities directly into the platforms enterprises already use, which is the central threat to Encore's defensibility. There are also legitimate questions about privacy and consent when a system is trained on recorded customer calls, questions that car