Netomi Raises $110M Series C for Agentic AI CX

Netomi Locks In $110M Series C as Accenture and Adobe Place Big Bets on Agentic AI for Enterprise Customer Experience

The enterprise AI space just witnessed one of its most compelling AI funding news stories of 2026. Netomi, a San Francisco-based startup that has spent the better part of a decade quietly building what it calls an "agentic customer experience platform," has officially closed a $110 million Series C round. The funding was led by Accenture Ventures, with notable participation from Adobe Ventures, WndrCo, Silver Lake Waterman, NAVER Ventures, Metis Strategy, and Fin Capital. When combined with previous rounds, this latest capital injection brings Netomi's total funding to well over $160 million — a figure that signals not just investor confidence, but a rapidly maturing market for AI-driven enterprise customer service solutions. For organisations tracking AI funding news across the technology landscape, this development is both a landmark and a signal of where the industry is heading next.

What makes this round particularly interesting is who's involved. Accenture Ventures, the venture arm of one of the world's largest professional services companies, is leading the charge, and this is not a passive financial bet. Adobe Ventures — the strategic arm of the creative and digital experience software giant — is equally committed, with plans to integrate Netomi into Adobe's Brand Concierge agentic ecosystem. That kind of dual-backed investment, where both companies bring operating leverage rather than just capital, is rare in the current AI funding environment. It reflects a growing recognition that agentic AI — systems that don't just respond but anticipate, act, and adapt — is no longer a future concept. It is happening now, and enterprise companies are racing to get ahead of it.

From Wall Street Algorithms to Agentic AI: The Story Behind Netomi

To understand what Netomi is doing and why investors are backing it so decisively, you need to understand where founder and CEO Puneet Mehta came from. Before he built Netomi, Mehta spent years constructing automated trading engines on Wall Street — not the glamorous kind you see in films, but the nuts-and-bolts, high-pressure systems that had to process enormous streams of financial data in real time, execute decisions with near-zero tolerance for error, and do all of this within tight regulatory frameworks where a mistake could trigger cascading consequences across markets. That experience gave Mehta a very specific lens on what "intelligence at scale" actually looks like when the stakes are high.

When he founded Netomi in 2015, he brought that same engineering philosophy to a different arena: customer experience. Rather than accepting that enterprise support interactions are inherently messy, expensive, and inconsistent, Mehta designed Netomi to work the way his trading systems had — observing patterns in real time, interpreting signals across massive volumes of simultaneous interactions, and acting before problems compound. Over the past decade, that vision has translated into a platform trusted by some of the world's most demanding brands, including Delta Air Lines, United Airlines, MetLife, Paramount, DraftKings, the NBA, and Ingram Micro. The platform operates across chat, email, and voice channels, and rather than building its own foundation models from scratch, it intelligently orchestrates across models from OpenAI, Anthropic, and Google — choosing the best tool for each specific task. This model-agnostic approach is something many enterprises find deeply reassuring, as it avoids the risks of vendor lock-in that can quietly accumulate when businesses commit entirely to a single AI provider.

The early backers of Netomi also say a great deal about the company's credibility within the broader AI community. The round builds on previous investments from Greg Brockman, co-founder of OpenAI, Demis Hassabis, co-founder of Google DeepMind, and Mustafa Suleyman, CEO of Microsoft AI. These are not passive check-writers. These are individuals who have shaped the trajectory of AI development globally, and their continued association with Netomi tells a story about how seriously the platform is regarded in technical circles. At The AI World, we believe that understanding the depth of those relationships is key to appreciating why this particular AI funding round stands out from the dozens that are announced every week.

What Agentic CX Actually Means — And Why It's Different

The term "agentic AI" is becoming one of the most used and simultaneously most misunderstood phrases in enterprise technology circles. To hear some companies tell it, any chatbot with a slightly better script qualifies as an "AI agent." Netomi's interpretation of the term is considerably more demanding. The platform is not designed to sit as a separate support layer, bolted on the side of a company's existing digital infrastructure. Instead, it embeds itself into the live customer journey — observing user behaviour as it happens, reading intent signals across multiple data sources simultaneously, and taking coordinated action before a customer even realises they have a problem.

Consider what this looks like in practice. During major live sporting events, Netomi's platform has processed more than 40,000 concurrent customer requests per second on behalf of DraftKings — one of North America's largest digital sportsbook operators — while maintaining sub-3-second response times and an intent-understanding accuracy rate of 98%. That is not a number from a controlled demo. It is a live operational benchmark achieved in one of the most volatile, high-traffic, emotionally charged digital environments imaginable: the period immediately after a major game ends and tens of thousands of users are simultaneously checking results, placing bets, querying payouts, or reporting technical issues. The fact that Netomi's infrastructure can hold together at that kind of load speaks directly to the Wall Street trading engine DNA that Mehta embedded into the platform from day one.

Another key differentiator is what Netomi describes as its intent-first architecture. Rather than waiting for a customer to submit a query through a specific channel, the system is continuously reading contextual signals — browsing behaviour, transaction history, previous support interactions, time of day, session patterns — and building a picture of what a user is likely to need before they ask. This allows the platform to proactively surface relevant information, make offers, or resolve emerging issues entirely in the background, without the customer ever having to formally raise a ticket. The goal, as Netomi frames it, is not to manage friction but to eliminate it altogether. That is a fundamentally different philosophy from traditional customer support models, and it explains why major enterprises are willing to trust the platform with interactions that, if mishandled, could directly affect brand loyalty and revenue.

Strategic Partnerships With Accenture and Adobe Amplify the Funding's Impact

The $110 million in fresh AI funding is significant on its own, but what truly elevates this round is the strategic dimension that both Accenture and Adobe bring to the table. In Accenture's case, the investment comes attached to a formal partnership agreement designed to embed Netomi's agentic AI platform into the customer experience transformation engagements that Accenture runs for its enterprise clients. Accenture serves companies across virtually every major industry vertical — financial services, telecommunications, healthcare, retail, government — and its ability to integrate Netomi into those engagements at scale gives the startup a distribution channel that would be nearly impossible to replicate through direct sales alone. The partnership essentially positions Netomi as the AI backbone of how Accenture reimagines customer service for large organisations worldwide.

Adobe's involvement adds a different but equally powerful dimension to this AI funding story. Adobe's Brand Concierge is an emerging agentic layer within the Adobe Experience Cloud — the suite of tools that hundreds of the world's largest brands already use to manage their websites, digital content, marketing campaigns, and customer journeys. By integrating Netomi into that ecosystem, Adobe is effectively pulling the startup into the digital operating environment of clients who have already made Adobe the centre of their customer experience stack. This is not a peripheral integration. It is a path that places Netomi's agentic intelligence at the core of the moment-by-moment decisions brands make about how they interact with customers online. For enterprises that already rely on Adobe's tools, the message is clear: Netomi is not an external tool you add on. It becomes part of the fabric of how your digital experience operates.

WndrCo's participation also carries its own significance, given that Jeffrey Katzenberg — the co-founder of DreamWorks and managing partner at WndrCo — has joined Netomi's board as part of the deal. Katzenberg brings decades of experience building and scaling consumer-facing media and entertainment businesses, and his understanding of how audiences engage with content and experiences gives Netomi's leadership team a perspective that purely technical investors often lack. At The AI World, we see this kind of board composition — where operational experience from adjacent industries meets deep technical credibility — as increasingly characteristic of the AI startups that manage to scale effectively beyond their initial beachheads.

The Competitive Landscape and What This Round Means for the Market

Netomi does not operate in a vacuum. The enterprise agentic customer experience space is competitive, and several well-funded players are pursuing similar ambitions from different angles. Ada, a Canadian company that has raised substantial capital of its own, focuses heavily on automated self-service resolution and competes with Netomi directly on enterprise scale and automation depth. PolyAI, which recently raised $86 million in a Series D backed by NVIDIA and the British Business Bank, is carving out a particularly strong position in voice-based AI agents — a channel where nuanced conversation handling and natural language fluency are critical. Both companies, like Netomi, are targeting the same fundamental pain point: the gap between what enterprise customers now expect from digital service interactions and what legacy support infrastructure is actually capable of delivering.

What separates Netomi from most of its competitors, beyond the technical benchmarks already discussed, is the combination of production-scale proof points and a truly model-agnostic architecture. Many AI customer experience platforms are, at their core, wrappers around a single foundation model, with the quality of their output rising and falling with the capabilities of that underlying model. Netomi's approach — orchestrating across OpenAI, Anthropic, and Google models depending on the specific demands of each interaction — gives it a flexibility and resilience that more narrowly built competitors struggle to match. This matters enormously for enterprise buyers who need to make long-term infrastructure commitments and cannot afford to have their customer experience capabilities held hostage by the roadmap of a single AI provider.

The broader AI funding news landscape in 2026 has been defined by a clear flight to quality. Early-stage capital has become more selective, and investors are paying closer attention to whether companies have genuine enterprise traction rather than impressive demos. Netomi's $110 million round, anchored by two of the most strategically relevant investors in the space and backed by a client roster that includes six of the most operationally demanding brands in North America, represents exactly the kind of real-world validation that the market is increasingly rewarding. For the enterprise AI sector as a whole, this deal sends a clear message: agentic AI is no longer a proof-of-concept category. It is a production-grade infrastructure investment, and the companies that have built for genuine enterprise complexity — rather than for controlled environments — are the ones attracting serious capital.

The $110 million will be deployed toward expanding customer deployments and accelerating research and development, as Netomi works to deepen the capabilities of its orchestration layer, extend its presence across new industry verticals, and further build out the integrations with Accenture and Adobe that will drive its next phase of growth. For those watching AI funding news closely, this round is a strong indicator that agentic AI is entering a new phase — one defined not by experimentation but by enterprise-scale execution.