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.
Stack AI lets builders assemble agent workflows node by node. Alomana starts from a sentence: describe the work and an operator runs it end-to-end — shipped as a persistent internal app in a workspace your company controls.
Free to start — no credit card. ISO 27001 · GDPR.The short version
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.
Stack AI
A no-code platform for building AI agents and automations: builders assemble workflows on a visual drag-and-drop canvas from model, data, and integration nodes, aimed at enterprise teams.
Stack AI gives builders a visual canvas to assemble AI workflows; Alomana removes the assembly — describe the work and an operator runs it, shipping as a real application.
See it in action
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
| Capability | Alomana | Stack AI |
|---|---|---|
| How you build | Describe the work in natural language — Alomana generates, validates, and deploys | Assemble and connect workflow nodes on a visual canvas |
| Primary output | Deployed operators + persistent internal apps on live data | Published agent workflows and chat interfaces |
| Agents that execute | Operators act across systems and write & run real code in an isolated sandbox | Workflows run the steps defined on the canvas across connected nodes |
| Building AI apps | Describe an app → a full-stack internal app (React frontend + live backend) wired to your data | Form- and chat-style interfaces published from workflows |
| EU & data | EU-based, GDPR-compliant; dedicated single-tenant instance; your data never trains models | US-based platform with enterprise compliance programs |
| Models | Model-agnostic — OpenAI, Gemini, Anthropic; open-source enabled on request | Choice of major model providers within workflow nodes |
See the full platform on the product page, or compare plans — free to start, no credit card.
Which is right for you
You want the process run end-to-end from a plain-language description — with EU-native, single-tenant governance — not a canvas of nodes to design and maintain.
You want hands-on builders designing and tuning agent workflows visually, node by node.
Questions, answered
For enterprise agents and automations, yes. Stack AI is a no-code canvas where builders assemble workflows; Alomana builds the operator for you from a plain-language description — generated, validated, and deployed into a dedicated single-tenant instance, EU-based and GDPR-compliant.
Who does the building. On a visual canvas, a person designs, connects, and maintains every node. On Alomana you describe the work; the platform generates and validates the operator, and the result can ship as a full-stack internal app — not just a published workflow.
Yes. If you can describe the process, you can build the operator — no canvas to learn. Business teams describe the work in natural language; Alomana generates, tests, and deploys it, and every run stays logged and reviewable.
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.
Keep comparing
Start free in minutes, or see Alomana on your own data in a 30-minute walkthrough with your workflows and documents.