AINIRO Magic Cloud

What AINIRO Magic Cloud is

AINIRO Magic Cloud is an open source, AI-based, low-code and no-code software development platform. Its site calls it the company's flagship product and describes it as a way to create software with plain English: full stack apps, AI agents, web APIs, databases or automation workflows, with "no drag and drop, only plain English." It suits founders and small teams that want a working backend or chatbot quickly, agencies that resell chatbots under their own brand, and developers who like the idea of an open source platform they can inspect.

AINIRO.IO Ltd is an independently owned company in Cyprus, owned and operated by its founder and CEO Thomas Hansen, who writes that he has more than 25 years of professional experience as a software developer.

What you build and how

The editor here is a prompt, not a canvas. The home page gives one example: the prompt "Create me a CRM system." produced, according to the site, a complete starter CRM with auth, role-based access control (RBAC), a database schema, a CRUD user interface, a responsive layout, a secured API and a responsive frontend. The company's line is that the machine assembles everything for you.

The data layer and the API. The CRUD generator is the part the site documents in the most detail. You connect Magic to a SQL database, click a button, and it generates an HTTP API wrapping your tables: create endpoints, read endpoints with filtering and sorting, update endpoints, delete endpoints, and aggregate endpoints. The company stresses that this step uses meta programming rather than AI, so there is no AI hallucination in it. It reads the database schema first, then scaffolds the API from that. The page says this "literally solves 80% of your backend problems." If you have no database yet, SQL Studio lets you design one visually without prior SQL knowledge, or you can have the AI code generator produce a schema from your specification. A blog post from January 2024 shows the whole path on a SQLite database: design the tables, generate the CRUD API, then add business logic.

Logic and automation. Business logic goes on top of the generated endpoints in Hyperlambda, the company's own language, which it describes as built from the start to be an "AI programming language." Magic uses Hyperlambda instead of GraphQL, PostgREST or OData, and the company's Hyperlambda generator can add logic to endpoints after the CRUD step. The blog post describes workflows and actions built on Hyperlambda's declarative programming, and a separate post covers writing custom actions for those workflows. The company says Hyperlambda cuts token consumption and codebase size by roughly 90% compared with hand-written C# or Python.

AI agents and chatbots. This is where the chatbot-builder side lives. Type a website address into the free demo form and the site scrapes it to build an AI chatbot you can embed on that site; the process takes between 5 and 15 minutes and the demo arrives by email. Beyond that, you can create custom AI agents with tools, and attach database or API operations to them. One screenshot on the CRUD page shows 100+ CRUD endpoints associated with an AI agent automatically, producing an agent that can operate on the database. The site also describes visual AI agents that display "micro apps" inside the chat window, loaded as the conversation goes. Its example is a shopping cart widget that shows a checkout cart while the agent talks to a customer. A visual agent can be integrated with any API or database you already have.

Hosting, branding and sign-in. Everything is hosted in one environment, and the company says there are no lockins. The FAQ says Magic supports white-labeling, so you can launch under your own brand with custom domains and a customer-facing SaaS experience. Another answer mentions SSO/OIDC so customers can sign in with existing identities. The FAQ also pushes back on the idea that Magic is only about chatbots: chat is one interface, and the core strength it claims is workflows, APIs and full-stack application capability.

Open source. The site states "We're 100% open source, and we're proud about it," and a blog post titled "Should you use our Open Source Version?" argues the company doesn't mind competing with itself. The pages do not name a license, so check the repository before you build a commercial plan around the terms.

What the pages say about plans and results

Hosting starts at $29 per month, a line the home and CRUD pages both carry. The CRUD page lists two named plans:

• Mini costs $29 per month and includes 1 AI chatbot, up to 50 web pages, a 7-day free trial and a 30-day money back guarantee. The plan card says "No support."
• Developer includes 10 AI agents, 30,000 facts, a Private Cloudlet and a 7-day free trial. The page text does not show its price.

The pages publish no free plan, only the 7-day trials and the free demo agent.

On results, all of the following are the company's own claims:

• Resolve Systems "already saves $20,000 per month" using AINIRO's AI and is integrating the technology into all of its products.
• Fintell, a company that wanted a Swedish-language chatbot answering financial questions over a database of Swedish companies, says AINIRO delivered it for half the price and 3 times as fast as competitors.
• 2Xplain uses the chatbot technology to give HR advice in Dutch and sells access to it.
• Arigato Travel's chatbot answers 100 questions every single day for its customer service department.
• Imperial Properties has an agent answering questions about the Mallorca real estate market, integrated with its CMS to help generate leads.
• The blog post claims the CRUD approach gives 1,000 times faster time to market, 1,000 times higher quality and 1,000 times easier creation, and the CRUD page says the generated code has better scalability traits than 98% of similar frameworks.

Treat the multipliers as marketing arithmetic. The customer stories are more useful: they are mostly chatbot and agent projects, which tells you where the platform has been used.

The pages do not state any compliance certifications, and they do not list integrations by name beyond databases, APIs and SSO/OIDC. Support beyond the Mini plan's "No support" line is not described.

Who it suits and who it does not

A solo founder who wants a CRM, admin tool or API without writing a backend can get a long way from a prompt. An agency that wants to resell AI chatbots with a white-labeled, branded SaaS front can use the Mini plan to prototype and the Developer plan for several agents. A developer who wants to read the platform's source will like the open source stance and the generated code that is not hidden behind a proprietary runtime.

The caveats are real. The core language, Hyperlambda, is the company's own, so skills you build in it do not transfer to other platforms, and the pages do not say how much you can edit by hand after generation. There is no drag and drop editor by design, so a team that wants to arrange screens visually will find the prompt workflow unfamiliar. The pages describe no compliance certifications, so a regulated enterprise should ask before committing. And the company is a single-owner firm in Cyprus, which suits a lean vendor relationship but is something an IT procurement team will want to weigh.