Hatz AI Raises $24 Million to Scale Its MSP-Led AI Platform

Hatz AI announced on November 12, 2026, that it had raised $24 million in Series A funding to expand its AI platform for managed service providers (MSPs) and recruit engineers. Nadia Partners, Vestigo Ventures and The Private Shares Fund backed the round, according to Hatz AI.

What remains undisclosed after the Series A?

Josh Schertzer, a Nadia Partners partner and former Blackstone chief technology officer, led the investment. Hatz AI’s announcement did not disclose a valuation, revenue, pricing, named customers or a timetable for using the capital. In plain terms, investors funded engineering capacity without disclosure of Hatz AI’s valuation or revenue.

How does Hatz reach smaller businesses?

Hatz AI sells its system exclusively through MSPs rather than selling directly to enterprises. Hatz AI says MSPs provide its route to small and medium-sized businesses (SMBs), while the company supplies the platform behind their offerings.

Hatz AI reports a partner network covering thousands of MSPs in all 50 U.S. states, nine Canadian provinces and nine countries, reaching millions of SMBs globally. Its active MSP partner count tripled year over year, and revenue grew even faster.

Hatz AI says it has also issued more than 15,000 AI certifications to builders. Co-founder and CEO Jimmy Hatzell tied the model to the support small businesses need. “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 said.

Hatz AI reports a broad channel, but the announcement gives no absolute active-partner count, customer-retention figure or revenue mix for MSPs. In plain terms, the channel gives Hatz AI reach, while partner execution determines whether that reach becomes durable growth.

What does the platform actually control?

Hatz AI’s product supplies a multi-tenant control plane with AI governance, custom workflows and automated routing across foundation models. MSPs can package those capabilities as AI-as-a-Service under their own brands and manage multiple client environments through the shared platform.

Hatz AI’s current platform provides access to ChatGPT, Claude, Gemini and other models in one place. Its Auto option routes requests among models, while automatic tool selection can draw on web search, document analysis, data connectors and integrations.

Hatz AI says administrative controls include role-based access, spending limits, usage visibility and audit logs. Hatz AI also says customer data is never used to train outside models and that its SOC 2 Type 2 controls are independently audited.

Hatz AI’s announcement disclosed no uptime record, model-performance benchmarks or named customer references. In practical terms, Hatz AI offers broad functionality and stated safeguards, but its strongest security and performance claims remain company-reported.

Where will the capital go?

Hatz AI plans to spend the Series A on its auto-model routing engine, benchmarks and internal software factory infrastructure. The engineering build-out includes Forward Deployed Engineers who work alongside MSP partners.

Hatz AI will also add AI Research and AI Optimization teams focused on platform performance and self-improvement. Hatz AI has grown from 14 employees to nearly 60 and is expanding its footprint in New York City’s Flatiron district.

Hatz AI’s move from 14 employees to nearly 60 represents more than a fourfold increase, although the announcement gives no quarterly hiring targets or productivity measures. In plain terms, Hatz AI is scaling engineering and infrastructure together.

Can the intermediary model scale?

The Series A follows Hatz AI’s public launch on January 4, 2024, when it announced a $2.5 million seed round led by Vestigo Ventures. Co-founders Jimmy Hatzell and Aidan Kehoe introduced the same MSP-centered distribution model at that launch.

Hatz AI’s original multi-tenant platform let MSPs build AI-as-a-Service businesses using AI applications, agents, vector storage and custom large language models. Hatz AI’s current product places governance, routing and administrative controls around those building blocks.

Hatz AI says the new funding places more engineering resources behind its intermediary model: SMBs receive AI through their IT provider, while Hatz AI supplies routing, governance and deployment support. That model routes the company’s products through IT providers rather than direct enterprise sales.

Hatz AI says expansion depends on making that layer manageable for a growing base of MSPs and the business customers those providers serve. In plain terms, the next test is whether one shared control plane can support thousands of MSP channels without weakening the trusted-service relationship Hatzell says SMBs require.