RapidCanvas

To design it, just describe it.

Describe the problem in your own words and the platform starts building it. You get a canvas anyone on the team can read, a full code editor the moment the work needs one, and a record of every run you can go back to.

Expert-led AI Workshop
Book a Discovery CallComplimentary 30-min call to assess fit
A plain-language request — “Create an application that shows sales trend data!” — flowing through the RapidCanvas platform into a finished dashboard with a sales-trend chart and revenue-by-segment breakdown.
How it starts

The whole brief is one sentence.

No template to pick, no specification to write first, no form asking what kind of solution you want. You describe the problem and point at the material your business already has.

Build us an invoice reconciliation solution, based on our own business context.

That was the entire input. Everything below it came back from that.
The editor you already use

A full development environment, in a browser tab.

No local setup, no export, no second copy of the project. An engineer opens the editor they already know, with an AI agent docked beside it, and everything they do stays on the project the rest of the team can see.

VS Code Editor
VS Code running inside the RapidCanvas platform: the project's own file tree on the left, a configuration file open in the editor, and an AI agent panel docked on the right part-way through a session. The platform's own navigation — Canvas, Scheduler, DataApps, FastAPI, Context — runs down the left edge, and the working git branch sits in the status bar.
The project's own repository, in a browser tab. The editor, the project's files, the agent and the working git branch — nothing installed to get there.
Grounded in your business

A plan built from what your business already decided.

The agent reads your own material before it proposes anything, so what comes back is not a generic reference architecture. Your constraints are in the design from the start, instead of being discovered in build week.

The plan's architecture as a four-stage flow — Source (SAP and Kofax, read-only), the six-step Pipeline, Serve (one FastAPI service with role-based access) and Consume (clerk worklist, mobile approvals and ops dashboard) — all backed by your database.
Our drawing of the plan it produced. The shape and the steps are its own.

From plan to project

The plan becomes a real project, not a document.

Once the shape is agreed, the whole structure gets laid down at once — the pipeline, the steps, the API and the front ends. The work starts from a running skeleton, not an empty folder.

Claude Code › Project scaffold
The scaffolded project tree: configuration files at the root, a canvas directory holding six numbered pipeline steps each annotated with the rule it implements, and a backend API with its app, auth, models and migrations.
Six steps, each carrying its own rule. Written out beside the API and the three front ends, before anyone opened a file.

FAQs

Write what you need in plain business terms, such as flag duplicate invoices or forecast demand by region. The platform interprets the request and plans how to build it.
A visual workflow that shows how everything connects, with reusable components, version control, and full transparency into how data flows and how decisions are made.
Yes. For advanced control, developers step in to refine logic, APIs, or applications using familiar tools, with AI assistance to speed the work up.
It reads the business specification, suggests how data should map to your business context, and outlines how the solution should be built.
Tests are generated and run automatically against outputs, catching issues early so results are reliable before they reach stakeholders.
Yes. Documents, reports, and logs are processed to identify useful rules and insights, which are then ready for review and confirmation.
Your team. Experts review, adjust, and approve outputs, so the system reflects real business judgment rather than automated guesses.