Netomi Secures $110M in Series C Funding to Scale AI-Driven Customer Experience Infrastructure

Netomi just raised $110M in Series C funding, led by Accenture Ventures, with Adobe Ventures, WndrCo, Silver Lake Waterman, NAVER Ventures, Metis Strategy, and Fin Capital in the mix. That is not pocket change. That is enterprise AI money walking into the room with security clearance and a tailored suit.

This is what happens when customer experience stops being a support function and starts acting like infrastructure. Puneet Mehta, Founder and CEO, did not build Netomi to sit in the corner answering Tier 1 tickets with polite guesses. This thing was designed for pressure. Airlines, insurance, financial services, Fortune 500 environments where “please hold” turns into brand damage in about 3 seconds flat.

Netomi’s bet is simple, but not easy. AI is not just assisting the interface, it is becoming the interface. Not a widget. Not a sidebar. The front door. And when that door opens, it better know why the customer showed up. Its platform pulls together Autopilot, Co-Pilot, Agentic Insights, Agentic Studio, Architecture, and Governance & Trust into 1 system built for enterprise-scale CX. Less experimentation theater, more operational muscle.

The origin story tracks. Puneet Mehta came out of low-latency trading systems on Wall Street, where precision is oxygen and failure is expensive. That mentality shows up in how Netomi talks about its world: millions of interactions, real-time decisions, 0 tolerance for getting it wrong. Customer experience, in this frame, is not a department. It is a live system under load.

The market is responding accordingly. Netomi is already working with names like Delta Air Lines, DraftKings, the NBA, United Airlines, and Paramount. Then you look at the cap table and it reads like a who’s who of people who understand both scale and stakes. Jeffrey Katzenberg, Greg Brockman, Demis Hassabis, Mustafa Suleyman, Nikesh Arora, Henry Kravis, Andy Brown, Peter High, Gokul Rajaram, Chris Wiggins. Not tourists.

The signal inside this $110M round is not subtle. Enterprise buyers are done flirting with AI that demos well and collapses under real volume. They want systems that can handle chaos without asking for a supervisor every 2 minutes. Accenture’s involvement sharpens that point. Distribution meets demand.

For the operators watching this space, the takeaway is less about hype and more about discipline. Pick a problem where failure is visible, expensive, and frequent. Build for that environment. Then prove you can hold the line when things spike.

Because in this version of the market, the companies that win are not the ones that talk the best game. They are the ones that can take the call, solve the issue, and never make the customer ask twice.