Multos AI

What it is

Multos is an AI app builder. You describe an app in plain language, and the platform generates the full stack, shows a live preview, and deploys it. The site's pitch is "Build, refine, and deploy with AI. All in one place," and its FAQ answers the question about coding knowledge with "No. If you can describe what you want, you can build it." It is aimed at founders and freelancers turning an idea into something people can use, at developers who want to keep the source and the repository, and at teams that need SSO and an audit trail. The pages do not say where the company is based.

What you build and how

The workspace is a conversation. You describe the app, watch it take shape in a live preview, and keep refining in chat. The homepage frames the flow as Build, Preview, Deploy, and lists full-stack generation, editable source code and live preview as the core of the product. Each project gets a full sandbox with a live preview and a code editor, so you can read and change what the AI wrote instead of treating it as a black box.

Context handling is a feature the company talks about a lot. Rather than loading a whole codebase on every request, Multos says it brings only the relevant files into context, shown on the homepage as files like App.tsx and styles.css marked "In context." The FAQ puts numbers on it: the company says most AI coding tools load 25,000+ tokens for a 50-file project, while Multos loads the 3-5 files that actually matter. A session memory with a 30-minute context window remembers what you worked on, so you aren't paying to repeat context.

The sample project pages show what people ask it for. The booking-system page describes "an appointment scheduling system with calendar view, availability management, reminders, and payments," generated as frontend, backend and database from your description, with the note that "every feature list is yours to change." Other guides on the site cover building an app, a SaaS product, a website, an e-commerce store and a mobile app, and the platform menu lists voice coding, an AI website builder, an AI coding tool and a no-code AI builder.

Specialized agent skills do much of the work that a template library would do elsewhere. The free-plan page names Stripe integration, database design, auth setup and cloud deployment among the 71 skills, and says every skill works on the free tier with no feature gates. You can pick from 42 AI models, described on the homepage as GPT, Claude, Gemini and more. The free tier uses open-source models, named as Mistral, DeepSeek and Qwen. Moving up to Claude Opus or GPT-5 is the reason to upgrade.

Publishing is where Multos differs from many prompt-to-app tools. You can deploy to your own AWS, Azure, GCP, Firebase or DigitalOcean account, so, in the company's words, "you own the resources and control the costs." The free-plan page also lists deployment to Cloudflare or Firebase with SSL certificates and CDN delivery. If you would rather skip cloud setup, Multos Cloud offers "instant zero-config hosting," and the company says you can migrate between targets anytime and that it doesn't lock you in. Deployment guides live at multos.ai/docs/deploy.

You keep the code. The booking page says you can download the full source anytime and connect your own database and Git repository, with "no lock-in at any tier." The homepage repeats it as "Your code, your repo, your cloud." The homepage also has pages for agencies and for existing codebases in its footer, which signals the product is meant to be used on client work and on projects that did not start inside Multos.

Quality control is built into deployment. The FAQ says every deploy runs through 15 automated checks covering security scanning, error handling and dependency audits, and the homepage cites OWASP automated scans. The company says it has caught SQL injection, exposed secrets and missing rate limits before they reached production. It is also candid that "you should still review what ships. We make it easy, not magic."

For organizations, the pages list SAML SSO, role-based access and organization management under SSO and Teams, plus full activity logging with granular access controls as an audit trail.

Evidence from the pages

The free tier is the main number to know. The site says it includes unlimited projects, 71 agent skills, full deployment, and 1M tokens a month, with no credit card and no trial period. On the free-plan page the text says 7 AI models, though one heading on that same page says 5, so treat the count loosely and check the plan screen.

Paid pricing is shown two ways. The free-plan page says to upgrade to Starter ($40/mo) or Pro ($100/mo) for Claude Opus or GPT-5. Its comparison table lists Multos Lite at $20/mo for 30M tokens and Multos Pro at $100/mo for 190M tokens, and the page quotes a maximum of 390M monthly tokens. The plan names do not line up across the page, so confirm which tier is current before budgeting.

The same table sets rivals beside Multos, as the company's own comparison: Bolt.new Pro at $25/mo with 10M tokens, Lovable Pro at $25/mo with 100 credits, Replit Core at $20/mo usage-based, Emergent Standard at $20/mo with 100 credits, Rocket.new Pro at $25/mo with 100 credits, and Base44 Starter at $20/mo with 100 message credits. These are the company's claims about other products, not independent figures.

Cost claims come from the company. It says smart model routing stretches the token pool 3-10x further, that Code Mode saves up to 96% on multi-step operations (the stat row says 95% token savings), and that prompt caching takes 90% off from the second turn on. It gives the example of a request that costs $0.12 elsewhere costing about $0.01 on Multos. The pages do not publish customer counts or a founding year.

Who it suits and who it does not

A solo founder with one idea can build and deploy on the free tier and keep the source, which makes it a low-risk way to test a product. A freelancer or agency can hand a client the repository and the cloud account, since the code and infrastructure sit with the client. A developer who wants an escape hatch gets editable source, Git and the choice of cloud. A 20-person team that needs SAML SSO and audit logs will find both listed.

The caveats are real. This is a code-generation product, so what you ship is source code that someone should review, and the company says as much. The paid tier names and prices are inconsistent on the free-plan page. And the cost advantages are the company's own comparisons, so run a real project before trusting the numbers. The pages do not describe a drag-and-drop editor or a built-in visual database, so teams that want a spreadsheet-style back end should look at other categories.