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What is Hatz AI?

Hatz AI provides Managed Service Providers (MSPs) with the tools to create an AI-as-a-service framework through customized large language models (LLMs). At the core of this advanced platform is an LLM operations engine called Mido, complemented by a multi-tenant management system that can be accessed through an MSP admin dashboard. By collaborating with Hatz, MSPs can effortlessly integrate AI into their offerings, allowing them to craft specific AI applications and workflows tailored to meet the unique needs of their clients, along with delivering organizationally managed AI assistants. Additionally, Hatz AI supports the development of an extensive record-keeping system for small businesses through bespoke LLMs and vector storage, all effectively managed by the Hatz AI infrastructure. Implementing our secure, organizationally managed AI chat assistant enables businesses to significantly lower operational expenses while enhancing employee efficiency substantially. Furthermore, the intuitive interface empowers MSPs to create custom applications and leverage pre-existing prompts for their clients, which can then be shared across various tenants, improving the overall user experience. This functionality not only optimizes processes but also elevates MSPs to a prominent position in the realm of AI-powered solutions, making them indispensable partners in digital transformation. Ultimately, Hatz AI stands as a transformative force for MSPs, driving innovation and efficiency in their service delivery.

What is Defang?

Defang is a platform tailored for developers that aims to simplify the entire process of developing, deploying, and debugging cloud applications. By leveraging AI-powered tools, Defang allows developers to transform their innovative ideas into fully functional applications hosted on their preferred cloud services in no time. Supporting multiple programming languages, including Go, JavaScript, and Python, the platform provides users with the ability to kickstart their projects by using example templates or generating outlines through natural language prompts. With a single command, Defang efficiently automates the building and deployment processes, seamlessly handling configurations for computing, storage, load balancing, networking, logging, and security. The user experience is further enhanced through the Defang Command Line Interface (CLI), which offers various installation options such as shell scripts, Homebrew, Winget, Nix, or direct downloads. By allowing developers to define their services using compose.yaml files, Defang streamlines the deployment of applications to the cloud. This innovative platform not only cuts down on the intricacies typically involved in cloud application development but also opens the door for developers of all experience levels to engage with cloud technology more effectively. Furthermore, its user-friendly approach ensures that even newcomers to cloud development can quickly grasp the necessary tools and processes to succeed.

Media

Media

Integrations Supported

Axis LMS

Integrations Supported

ASP.NET
Amazon S3
Amazon Web Services (AWS)
Angular
C#
Django
Docker
Feathers
Flask
Google Cloud Platform
Homebrew
JavaScript
Nix
Node.js
OpenAI
PostgreSQL
Python
React
Slack

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$10 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Hatz AI

Company Location

United States

Company Website

www.hatz.ai/

Company Facts

Organization Name

Defang

Date Founded

2022

Company Location

Canada

Company Website

defang.io

Categories and Features

AI App Generators

Not specified

MSP

Not specified

Categories and Features

Agentic AI

Not specified

AI App Generators

Not specified

AI Code Generators

Not specified

AI Coding Agents

Not specified

AI Coding Assistants

Not specified

Debugging

Not specified

Software Deployment

Not specified

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