Hatz AI – AI-as-a-Service Platform for Managed Service Providers

Hatz AI is a specialized platform designed to empower Managed Service Providers (MSPs) by integrating artificial intelligence into their service offerings. It enables MSPs to build and deliver AI-as-a-Service solutions to their clients, enhancing operational efficiency and providing sophisticated AI tools without requiring in-house expertise. The platform is particularly relevant for businesses looking to leverage AI automation tools through a trusted service provider.

By focusing on the MSP market, Hatz AI addresses a niche need for scalable, multi-tenant AI management. This approach allows IT service companies to innovate and expand their portfolios with custom AI applications, secure data handling, and streamlined client management, positioning them as leaders in the evolving landscape of AI agents and workflows.

What is Hatz AI?

Hatz AI is an advanced platform crafted specifically for Managed Service Providers to build AI-as-a-Service offerings. It provides the infrastructure and tools necessary for MSPs to integrate artificial intelligence into their services, allowing them to deliver enhanced capabilities to their clients. The platform includes features like AI applications, custom Large Language Models (LLMs), vector storage, and a multi-tenant management dashboard.

At its core, Hatz AI is powered by an LLM Ops engine called Mido, which manages the underlying AI operations. This enables MSPs to offer personalized AI solutions, improve data handling, and streamline operations across multiple client environments, making it a comprehensive solution for service providers aiming to adopt AI technology.

Key Features

• AI Chat Assistant: A secure, organizationally managed chat assistant designed to boost employee productivity and optimize operational costs.

• AI App Builder: Allows creation of custom applications and pre-built prompts that can be deployed across multiple tenants for a personalized user experience.

• Custom LLMs and Vector Storage: Offers infrastructure for developing personalized systems of record, enhancing data handling and operational efficiency.

• Multi-Tenant Management Dashboard: An MSP admin dashboard for efficient management of multiple client environments, streamlining operations and scaling services.

• Secure Data Handling: Ensures efficient and secure data management with custom LLMs and vector storage, adhering to compliance standards.

Use Cases

• Managed Service Providers integrating Hatz AI to enhance their service offerings and deliver AI-powered solutions to clients.

• IT infrastructure companies utilizing the platform to innovate and improve service delivery through AI automation.

• Small to medium enterprises partnering with MSPs using Hatz AI to access advanced AI tools without needing in-house AI expertise.

• Law firms and healthcare providers using Hatz AI through MSPs to manage large datasets, improve operational efficiency, and ensure secure data handling.

• Educational institutions leveraging the platform for AI research and development projects in partnership with MSPs.

Underlying AI Models or Technology

Hatz AI is built around an LLM Ops engine called Mido, which manages the core artificial intelligence operations. The platform leverages custom Large Language Models (LLMs) and vector storage to enable personalized AI applications and secure data management. This technology foundation allows for sophisticated natural language processing and text generation capabilities, which are central to its AI chat assistant and app builder features.

The platform's focus on custom LLMs enables MSPs to tailor AI solutions to specific client needs, ensuring relevance and efficiency. The vector storage component supports advanced data retrieval and contextual understanding, which are essential for building effective AI-driven workflows and applications.

Pricing

Hatz AI operates on a custom pricing model tailored to the specific needs and scale of each Managed Service Provider. Pricing is discussed directly with the Hatz AI team, allowing for flexibility based on the number of tenants, required features, and level of customization.

For the most accurate and current pricing details, visitors should refer to the official Hatz AI website.

Pros and Cons

Pros

• Enhanced Productivity: The AI chat assistant can significantly improve employee efficiency, optimizing operational costs.

• Customization Flexibility: MSPs can develop bespoke AI applications and workflows tailored to specific client needs.

• Scalability: Supports multi-tenant management, facilitating the scaling of services across different clients efficiently.

Cons

• Complexity for New Users: The extensive range of features and customization options may present a learning curve for new users.

• Niche Target Audience: Primarily designed for MSPs, making it less suitable for businesses outside this sector seeking direct AI integration solutions.

Alternatives

For those exploring different AI chatbot and agent solutions, several alternatives offer varying approaches to AI integration and automation.

• General-purpose AI chatbot platforms that cater to a broader business audience rather than focusing exclusively on the MSP model.

• Enterprise AI automation suites that provide extensive integration capabilities but may require significant in-house technical resources.

• Low-code/no-code AI workflow builders designed for business users to create automations without deep technical expertise.