Startup profile for Hatz AI: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Hatz AI funding, valuation and investors

White-label and multitenant AI operations software for managed service providers and their SMB customers.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A

$24M · November 12, 2026

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$24M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series a · New York, USA

Investors in latest funding

Lead: Nadia Partners (Josh Schertzer)

Other: Vestigo Ventures , The Private Shares Fund

Sources: latest funding · prnewswire.com Last verified: 2026-11-12

Overview

AI platform sold through managed service providers to small and midsized businesses. MSPs package branded AI services using multitenant governance, custom workflows and routing among foundation models. The company reports a growing MSP partner network, but its release does not disclose exact recurring revenue or valuation.

Why Hatz AI is interesting

A $24M Series A backs an indirect distribution channel rather than direct enterprise sales; partner reach is company-reported, not validated paying customer count.

Product & use cases

AI model routing, multitenant access policies, governance, and branded custom workflow services delivered via MSPs.

Funding history (newest first)

Series A

2026-11-12 $24M
  • Nadia Partners (Josh Schertzer) (lead)
  • Vestigo Ventures (participant)
  • The Private Shares Fund (participant)

Source: Read source · prnewswire.com

Market / IPO context

Editorial / static context — not a live quote.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.