Netomi raises $110M Series C
- Netomi said on April 30 it raised a $110 million Series C led by Accenture Ventures to expand its AI customer-service platform. - Adobe Ventures, WndrCo, SLW, NAVER Ventures, Metis Strategy, and Fin Capital joined; the round lifts total funding to about $160 million. - Big-enterprise AI support is moving past pilots now — investors are backing vendors that can deploy reliably in regulated, high-volume service environments.
Customer service AI is having its “show me it works in production” moment. That is the real story behind Netomi’s new $110 million Series C. The company is not pitching a toy chatbot for FAQs. It is pitching an AI system that sits inside big support operations, handles real customer issues, and does it in industries where mistakes get expensive fast. On April 30, Netomi said Accenture Ventures led the round, with Adobe Ventures, WndrCo, SLW, NAVER Ventures, Metis Strategy, and Fin Capital also participating. ### What does Netomi actually sell? Netomi builds AI for customer experience — basically software that can answer questions, resolve support issues, and route or complete tasks for large enterprises running high-volume, high-stakes service operations. ### Why is this round notable? Because $110 million is a big late-stage check for a company in a crowded category. This is a Series C, not a seed round built on vibes. It enables deployment, and integration into existing enterprise stacks. ### Who is already using it? Netomi’s CEO Puneet Mehta said the company works with enterprises including United Airlines, Delta Air Lines, Paramount, and DraftKings. That includes Brockman, Demis Hassabis, and Mustafa Suleyman. ### Why now? The obvious answer is large language models. Better models changed what buyers think support automation can do. A few years ago, enterprise bots mostly triaged tickets and annoyed customers. Now buyers expect AI to understand intent, keep context, and finish more of the job without a human stepping in. The bottleneck is no longer just inventing demos. It is getting these systems live, stable, and useful at scale. ### Why does Accenture matter so much? Because enterprise AI usually fails in the gap between “the model works” and “the company can trust it.” Accenture lives in that gap. Big companies need integrations into CRMs, ticketing tools, identity systems, compliance controls, and analytics layers. They need change management during the pilot, during the painful rollout. ### What does “agentic customer experience” really mean? In plain English, it means the AI is supposed to notice a problem, decide what to do next, and take action instead, with auditability — especially in regulated industries or customer journeys tied to payments, travel, or subscriptions. ### So what is the real takeaway? This round says the market is shifting from generic AI assistants to enterprise systems that can survive contact with real operations. Netomi’s raise does not prove the category is solved. But it does show where investors think the value is moving — toward vendors that can turn language models into dependable service infrastructure, not just clever demos.