Compare

Drafting beside the model → software that runs the workAlomana vs ChatGPT Canvas

ChatGPT Canvas gives you a workspace to draft and refine text or code with the model. Alomana starts where the draft ends: describe the work and get a deployed operator and a persistent internal app on your live company data.

Free to start — no credit card. ISO 27001 · GDPR.

The short version

What is Alomana, and what is ChatGPT Canvas?

Alomana

An agentic harness for the enterprise: describe the work and Alomana builds an operator (an agent that runs the process end-to-end) plus persistent internal apps on your live data — every run logged and auditable, in a workspace you control.

ChatGPT Canvas

A feature of OpenAI's ChatGPT: a side-by-side workspace where you draft and edit documents and code with the model, with inline edits and previews.

Canvas improves the draft; Alomana removes the operation — operators run the process and the result ships as a real application on live data.

See it in action

From a sentence to an AI deployed operator

Describe the work in plain language. Alomana builds, validates, and deploys a production operator that runs on your live data, not a prototype that stops on your machine.

Side by side

How does Alomana compare to ChatGPT Canvas?

CapabilityAlomanaChatGPT Canvas
Primary outputDeployed operators + persistent internal apps on live dataDocuments and code drafted and refined beside the chat
Backend & dataLive backend wired to your systems through 20+ connectorsPreviews render in the workspace; no company backend
Where value landsThe process is removed — an operator runs it and escalates exceptionsThe person works faster on the draft in front of them
PersistenceApps and operators live in a shared workspace — reusable, permanentWork lives with the conversation that produced it
Enterprise governanceDedicated single-tenant instance; every run logged and auditable; ISO 27001, GDPRGoverned by your ChatGPT plan and its workspace controls
ModelsModel-agnostic — OpenAI, Gemini, Anthropic; open-source enabled on requestOpenAI's models

Which is right for you

When to choose Alomana vs ChatGPT Canvas

Choose Alomana if…

You want work executed and shipped as running software on company data — with governance an enterprise can sign off.

Choose ChatGPT Canvas if…

You want a faster way to write and refine documents or code in a conversation.

Questions, answered

Alomana vs ChatGPT Canvas, FAQ

Is Alomana a ChatGPT Canvas alternative for business?

For shipping working software, yes. Canvas is a drafting surface beside the model; Alomana deploys the result — operators that run processes end-to-end and full-stack internal apps on live company data, in a dedicated single-tenant instance.

What's the difference between a canvas preview and an Alomana app?

A preview renders in your session; an Alomana app is running software with a live backend, connected to your databases and tools through 20+ connectors, available to the whole team, with every run logged and auditable.

We already prototype in ChatGPT — where does Alomana fit?

Keep prototyping wherever you're fastest. When the idea needs to run on real company data, describe it in Alomana: the platform generates, validates, and deploys the operator or app into your workspace — prototype to production.

Is our data isolated, and is it used for training?

Production runs in a dedicated single-tenant instance with EU hosting available — your data never touches shared infrastructure and is never used to train AI models. Every agent run is logged and auditable: input, output, tools, and user.

No setup. No code. No pilot purgatory.

Ship the operator,
not the prototype.

Start free in minutes, or see Alomana on your own data in a 30-minute walkthrough with your workflows and documents.

ISO 27001GDPRSingle-tenant