Netomi, an AI-first customer service platform, announced a $30 million Series B funding round alongside expanded integration of its governed agentic AI platform with Microsoft Azure Kubernetes Service and Dynamics 365, according to a company press release distributed via Business Wire.
Funding Details
The round was led by WndrCo, the investment firm co-founded by Jeffrey Katzenberg, with participation from Eldridge and Fin Venture Capital. Total funding for Netomi now stands at $52 million, per the company’s announcement.
The Azure Integration
The product side of the announcement is the more consequential piece. Netomi’s governed agentic AI platform is now built on Azure Kubernetes Service with deeper integration into Microsoft Dynamics 365, according to the Business Wire release. The architecture is designed to let AI agents execute decisions directly within enterprise business systems while maintaining policy enforcement and operational control.
This positions Netomi as a native agentic runtime for Dynamics 365 customers. Rather than bolting an AI layer on top of existing CRM workflows, the integration embeds agent decision-making inside the transaction layer itself.
Microsoft’s OEM Approach vs. Salesforce’s Native Play
The timing is notable. Salesforce closed its $3.6 billion acquisition of Fin last week, folding an external AI customer service platform directly into its Agentforce product line. Microsoft is taking a different path: rather than building or acquiring its own agentic CX tool, it is enabling third-party runtimes like Netomi to run natively on Azure and Dynamics 365.
The two strategies represent competing visions of how enterprise agents should be deployed. Salesforce is consolidating vertically, owning the agent stack end to end. Microsoft is building the platform layer and letting OEM partners specialize.
Scale and Focus
Netomi says it serves Fortune 500 enterprises across travel, hospitality, insurance, banking, retail, media, and telecom, according to the company’s press release. The $30 million raise, while modest relative to the mega-rounds dominating AI funding headlines, reflects the investor thesis that governed, domain-specific agent platforms can carve out durable positions in enterprise CX without requiring billion-dollar compute buildouts.