RapidCanvas

Connected both ways.

Bring in data from hundreds of sources, send decisions back into the systems your teams already use, and hand the APIs you build to Claude, or any other agent, as tools it knows how to call.

Expert-led AI Workshop
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In and out

Read from hundreds of sources, and write back to them.

Object stores, warehouses, databases, ERPs, CRMs, ad platforms, HR systems and plain files - several hundred sources in all. Every one of them is a connection that reads in and writes back out, so a decision does not stop at a dashboard. It lands in the system where the next piece of work happens.

Connectors LibraryRecording
Four SAP systems, not one. ECC on SQL Server, Business ByDesign, Concur and SuccessFactors. The coverage goes deeper than a logo on a page.
Out, through your APIs

Send data out through your own APIs.

Every project can expose a FastAPI service, documented and running inside the platform. Your applications, your integrations and the systems you already run call it like they would call anything else.

FastAPI › API & Usage
The OpenAPI documentation for a running FastAPI server inside the platform, listing its GET and POST routes, each one expandable
One server, the whole surface. Every route listed, expandable and callable without leaving the platform or standing up a separate docs host.

Out, to AI assistants

Let AI agents use what you build.

Publish those same endpoints as MCP tools and Claude, or any other agent, can call them directly. We handle the plumbing.

FastAPI › MCP ServerRecording
From endpoint to registered tool, in four steps. This run stops before registering anything on a live server.

Got questions? We're here to answer them for you

Have more questions?
Contact our support team to get what you need.

No. RapidCanvas connects directly to warehouses, lakes, SaaS tools, ERPs, files, and APIs using secure, governed access, without moving data.
Data warehouses, data lakes, SaaS tools, ERP systems, files, and APIs.
Either. Run scheduled workflows for structured processes, or real-time access for decisions as they happen, both on the same platform.
Yes. Rather than pulling raw rows, it maps data to your core business entities such as customers, products, or contracts, so every output aligns with how your business operates.
Yes. From the original system through to the final decision, every step is tracked and auditable.
Centrally. Credentials for APIs, databases, and models are managed in one place with proper controls, which avoids duplication and reduces risk.
Documents, reports, and notes are processed into structured insights, combining automation with human validation to keep them accurate.
Hundreds, across data warehouses, data lakes, SaaS tools, ERP systems, files and APIs. The connection is read and write: the same platform sends results back out through your own APIs, so a decision lands in the system where someone acts on it.
It means the next solution starts where the last one finished. Data is mapped to your core business entities such as customers, products or contracts rather than pulled as raw rows, so a definition agreed once holds everywhere instead of being re-argued per project.
They are managed centrally, in one place with proper controls, covering APIs, databases and models. That avoids the same secret being duplicated across projects, which is where credential sprawl usually starts.