AINIRO

Build secure full-stack applications and custom AI agents using plain English. This open-source platform helps enterprises automate workflows and scale APIs.

Paid ai solution developing

Starting at

$29/mo

About AINIRO

AINIRO Magic Cloud is a comprehensive "vibe coding" platform designed to bridge the gap between natural language and production-grade software development. Unlike typical prototype-focused tools, it functions as a full runtime and development environment that allows users to create full-stack applications, AI agents, and complex web APIs using plain English instructions. By leveraging a unique architecture, the system automatically assembles databases, backend logic, and responsive frontends, enabling users to go from a simple prompt like "Create me a CRM system" to a functional application with authentication and CRUD capabilities in minutes. At the heart of the platform is Hyperlambda, a specialized low-code language that provides significant performance advantages over traditional scripting languages like Python. The platform features an AI Expert System that generates this code automatically, while also supporting standard languages like C# and Python for more specific extensions. Key capabilities include a CRUD generator for "talking to your database," terminal bindings for legacy system automation, and the ability to create visual AI agents that display interactive "micro apps" within a chat interface. Security is treated as a first-class citizen, offering Role-Based Access Control (RBAC), SSO via OAuth or OpenID Connect, and cryptographic protections. The tool is particularly well-suited for professional developers, enterprise IT departments, and SaaS entrepreneurs who require more than just a black-box AI solution. Because the platform is open-source and self-hostable via Docker, it appeals to organizations with strict compliance, data residency, or auditability requirements. It also serves customer service departments looking to offload high volumes of inquiries through context-aware AI chatbots that can be trained on hundreds of pages of documentation. The white-label offering further allows businesses to launch their own AI-powered products under their own branding and custom domains. What sets AINIRO apart from competitors is its focus on production-grade reliability and extensibility. While many AI-to-app tools are limited to simple frontends, AINIRO provides a full backend runtime that eliminates the need for external connectors for core logic. The platform’s maturity is backed by over 8,500 commits and is even documented by Microsoft. Furthermore, the high performance of the Hyperlambda engine ensures it can handle significantly more concurrent users than Python-based alternatives, making it a viable long-term infrastructure choice rather than just a prototyping tool.

AINIRO pros & cons

Pros

Open-source and self-hostable via Docker for total data residency control.
Hyperlambda engine provides 20x better performance and concurrency than Python.
Integrated enterprise security with support for RBAC and SSO/OIDC.
Supports 'vibe coding' to generate full-stack apps from plain English.
Includes a 7-day free trial and a 30-day money-back guarantee across all plans.

Cons

Standard support is not included in the Mini or Developer pricing tiers.
The Mini plan is restricted to training on a maximum of 50 web pages.
Advanced setup and deluxe support require higher-tier monthly subscriptions.
Customizing the underlying Hyperlambda code may require a learning curve for complex logic.

AINIRO use cases

Customer service teams can create context-aware AI chatbots trained on documentation to automate support inquiries across multiple languages.
Software developers can rapidly generate full-stack CRM systems with automated database schemas and authentication using natural language prompts.
SaaS founders can utilize the white-label offering to launch a branded AI service with built-in subscription and identity management.
Enterprise IT departments can build secure internal tools and dashboards that integrate with legacy CLI-based systems via terminal bindings.
Marketing agencies can deploy visual AI agents that include interactive 'micro apps' like shopping carts directly within a website chat interface.

AINIRO features

github integration
visual ai agents
white-labeling support
terminal access bindings
rbac and sso security
crud generator
hyperlambda backend engine
vibe coding interface

AINIRO pricing

Is AINIRO free? No, AINIRO doesn't offer a free plan; pricing starts at $29 / month.

Mini

$29 / month

One AI chatbot
50 web pages max
7-Day Free Trial
30-Day Money Back Guarantee

Developer

$98 / month

10 AI agents
30,000 facts
Private Cloudlet
7-Day Free Trial
30-Day Money Back Guarantee

Professional

$298 / month

10 AI agents
30,000 facts
Private Cloudlet
Support and setup
7-Day Free Trial
30-Day Money Back Guarantee

Enterprise

$498 / month

30 AI agents
100,000 facts
Private Cloudlet
Deluxe support
7-Day Free Trial
30-Day Money Back Guarantee

AINIRO FAQs

Can AINIRO Magic Cloud build full-stack apps or just prototypes?

Magic Cloud is designed to create complete full-stack applications including frontend, backend APIs, workflows, and database logic. It serves as a full runtime environment suitable for shipping production systems rather than just simple demos.

Is the platform open source and self-hostable?

Yes, Magic Cloud is open source and can be self-hosted via Docker or from source. This is ideal for organizations with strict compliance requirements, data residency needs, or a need for local infrastructure control.

Does it support enterprise security features like SSO?

The platform was built with security in mind, offering Role-Based Access Control (RBAC) and integration for SSO, OAuth, and OpenID Connect. It also uses Hyperlambda in a protected sandbox to eliminate common AI-related security risks.

Can I use natural language to generate backend APIs?

Yes, Magic includes an AI-based Hyperlambda generator specifically designed to create backend APIs from natural language instructions. These workflows are treated as structured source code that can be reviewed and versioned by development teams.

Does AINIRO support white-labeling for SaaS businesses?

The platform offers white-label capabilities that include integrated subscriptions and SSO support. This allows customers to launch fully branded AI services under their own custom domains.

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