Hatz AI

# High-Level Overview

Hatz AI is an AI-as-a-Service platform designed to enable Managed Service Providers (MSPs) to build and deploy AI applications for small and medium-sized businesses (SMBs).[1][2] The company provides a secure, compliant infrastructure that allows MSPs—trusted technology partners of SMBs—to integrate AI capabilities into their service offerings without requiring deep technical expertise from end users.

The platform addresses a critical gap in AI adoption: while large enterprises have resources to implement AI independently, SMBs lack the technical infrastructure and expertise. Hatz positions MSPs as the distribution channel and trusted advisor for AI implementation, democratizing access to advanced AI capabilities across the SMB market. The company's mission centers on making AI accessible to organizations of all sizes through their existing MSP relationships, transforming how businesses automate workflows and operate at scale.[2]

# Origin Story

Hatz AI was founded in 2023 by Aidan Kehoe and Jimmy Hatzell and is based in New York.[1] The company emerged during a period of rapid AI adoption, recognizing that the traditional enterprise software model—where vendors sell directly to end customers—was poorly suited for SMBs seeking to implement AI. Rather than competing directly with enterprise AI platforms, the founders identified MSPs as natural intermediaries: these technology service providers already have established relationships with SMBs and serve as trusted advisors for IT infrastructure decisions.

The company has demonstrated early traction in fundraising, raising $4.3M in reported equity funding as of February 2025, including a $2.8M funding round that year.[1] This capital trajectory reflects investor confidence in the MSP-as-distribution-channel model for AI services.

# Core Differentiators

• MSP-first architecture: Unlike consumer or enterprise AI platforms, Hatz is purpose-built for MSPs to resell and manage AI services, positioning technology providers as "AI evangelists, educators, and orchestrators."[2]

• Natural language interface: Users can transform workflows into AI-powered automations without coding expertise, using intuitive natural language commands rather than technical configuration.[2]

• Multi-LLM aggregation: The platform brings together multiple large language models in a single interface, giving users flexibility in model selection rather than locking them into a single provider.[2]

• Security and compliance: The platform is SOC 2 Type 2 compliant, addressing the regulatory and security concerns critical to MSPs managing customer data.[4]

• Integrated management dashboard: MSPs can create, deploy, and manage AI applications and agents through a centralized admin interface, simplifying operations at scale.[1]

• Vector storage and custom LLMs: The platform enables MSPs to build systems of record for customers using custom language models and vector databases, creating deeper integration opportunities.[3]

# Role in the Broader Tech Landscape

Hatz AI operates at the intersection of two major trends: the democratization of AI and the evolution of the MSP business model. As enterprises increasingly expect AI capabilities embedded in their service providers' offerings, MSPs face pressure to deliver AI solutions without the capital investment required to build proprietary AI platforms. Hatz fills this gap by providing the infrastructure layer.

The timing is particularly significant because the AI market is shifting from early-adopter enterprises to mainstream SMB adoption. Traditional software vendors are struggling to serve this segment profitably, creating an opportunity for channel-based models. By empowering MSPs—who already have customer relationships and trust—Hatz leverages existing distribution networks rather than building sales infrastructure from scratch. This approach mirrors successful patterns in cloud infrastructure and cybersecurity, where channel partners became critical to market penetration.

Additionally, Hatz's focus on compliance and security reflects the maturing AI market, where regulatory concerns and data governance are becoming competitive differentiators rather than afterthoughts.

# Quick Take & Future Outlook

Hatz AI is well-positioned to capture significant market share in the SMB AI automation space, provided it can scale its MSP partner network effectively. The company's early funding success and focus on a underserved segment suggest strong product-market fit, but execution will depend on building a robust partner ecosystem and maintaining security/compliance standards as the platform scales.

The broader trend favoring Hatz is the shift toward AI-powered workflow automation as a core business capability rather than a luxury feature. As SMBs increasingly compete on operational efficiency, demand for accessible AI tools will accelerate. The question for Hatz is whether it can maintain its MSP-centric positioning or whether it will eventually face pressure to serve SMBs directly—a pivot that would fundamentally change its business model and competitive dynamics.