Hatz AI Raises $24 Million Series A to Power MSP-Delivered AI

Hatz AI has raised $24 million in Series A funding to expand its AI infrastructure platform for managed service providers (MSPs) and small and medium-sized businesses. Nadia Partners, Vestigo Ventures, and The Private Shares Fund backed the round, which Josh Schertzer — a partner at Nadia Partners and former Chief Technology Officer at Blackstone — led personally.

The claim of momentum is backed by numbers. Hatz AI says its active MSP partner count has tripled year over year, and its revenue has grown even faster than that. Headcount has expanded from 14 employees to nearly 60. The caveat: none of these figures are independently audited, and the company disclosed no absolute revenue or valuation.

What does the platform actually do?

Hatz AI sells exclusively to MSPs — the firms that supply IT infrastructure, cybersecurity, and software to businesses — rather than to end customers. Its platform lets service providers deliver AI-powered services under their own brands. The toolkit includes:

• Multi-tenant governance across separate customer environments
• Custom AI workflows and collaborative workspaces
• Automated model routing across foundation models
• Configurable AI agents
• Tools for monitoring AI spending, security, and deployments

The pitch is straightforward: MSPs can offer AI-as-a-Service without building the underlying infrastructure themselves. In plain words, Hatz wants to be the operating system layer between foundation models and the channel that serves small business.

The partner network now spans thousands of MSPs across all 50 U.S. states, nine Canadian provinces, and nine countries, giving the company potential reach into millions of SMBs globally. It has also issued more than 15,000 AI certifications to technology professionals worldwide — roughly one certification for every MSP relationship it could plausibly equip.

Why the model-routing bet matters

A central component is proprietary automatic model-routing technology that directs AI requests across different foundation models based on application requirements. Some applications prioritize reasoning; others prioritize response speed, specialized functionality, or lower inference costs. Automated routing lets MSPs manage those trade-offs centrally instead of configuring each application by hand.

The new capital will deepen routing technology, expand benchmarking capabilities, and fund what the company calls internal software factory infrastructure. Additional AI optimization investment targets how the platform evaluates and uses foundation models.

What did the investors and CEO say?

CEO and co-founder Jimmy Hatzell framed the stakes in expansive terms: "AI transformation is existential for small and medium-sized businesses, but technology alone won't make a business AI native — SMBs need help from people they trust." He added: "By giving MSPs full control over governance, spend, and deployment, we're making it possible for every small business to become AI native."

Schertzer, who led the round, was equally direct about the channel strategy: "Hatz has unlocked the exact mechanism required to drive AI adoption across Main Street. By focusing exclusively on powering MSPs rather than trying to sell directly to end-users, Hatz has built a true dominance in channel-delivered AI." Whether "dominance" holds up depends on competitors' response; the source names none.

Where the money goes

The funding will support partner network expansion, platform development, and recruitment of engineering and research talent. Hiring concentrates on forward-deployed engineers who work directly with MSP partners to configure applications and build workflows, alongside growing AI Research and AI Optimization teams. Hatz is also expanding its presence in New York City's Flatiron District.

The strategic logic rests on a real gap. Many smaller businesses want AI but lack internal resources to evaluate models, set governance policies, and integrate AI into daily workflows. MSPs already hold trusted relationships with these organizations — covering technology decisions, cybersecurity, and support — and Hatz argues they can close the adoption gap without SMBs building specialized internal teams. The unstated risk: whether MSP-delivered AI can keep pace with increasingly turnkey direct-to-business AI products.

The round arrives as businesses accelerate evaluation of AI agents, workflow automation, and productivity tools. With $24 million in new capital, a workforce approaching 60, and a partner network that tripled in a year, Hatz AI is betting the MSP channel — not direct sales — becomes the default route by which small business adopts agentic AI.