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Custom agents on company knowledge → operators that run the workAlomana vs Dust

Dust lets teams build custom agents on company knowledge. Alomana takes the next step: operators run the process end-to-end — acting on your systems, writing and running real code — and ship as persistent internal apps.

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The short version

What is Alomana, and what is Dust?

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.

Dust

A European AI agent platform: teams build custom agents connected to company knowledge and tools, drawing on multiple frontier models, with EU hosting among its options.

Dust equips teams with custom agents grounded in company knowledge; Alomana removes the operation — operators run the process and the result ships as a real application, not an assistant.

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 Dust?

CapabilityAlomanaDust
Primary outputDeployed operators + persistent internal apps on live dataCustom agents and assistants for teams, grounded in company knowledge
Where value landsThe process is removed — an operator runs it and escalates exceptionsTeams get faster answers and drafts from agents on their knowledge
Building AI appsDescribe an app → a full-stack internal app (React frontend + live backend) wired to your dataDeveloper-built apps and agent tools within the platform
Agents that executeOperators act across systems and write & run real code in an isolated sandboxAgents use connected tools and take scoped actions on integrations
EU & dataEU-based, GDPR-compliant; dedicated single-tenant instance; your data never trains modelsEuropean (Paris-based), GDPR-compliant, with EU hosting options
ModelsModel-agnostic — OpenAI, Gemini, Anthropic; open-source enabled on requestMultiple frontier model providers from one platform

Which is right for you

When to choose Alomana vs Dust

Choose Alomana if…

You want whole processes run end-to-end and real internal apps on your data — not only smarter agents to consult.

Choose Dust if…

You want teams building custom assistants and agents on company knowledge, with a European vendor.

Questions, answered

Alomana vs Dust, FAQ

Is Alomana a Dust alternative?

For running the work, yes. Both are EU-native and multi-model. Dust is a platform where teams build custom agents on company knowledge; Alomana builds operators that run processes end-to-end and deploys persistent internal apps on your live data — in a dedicated single-tenant instance.

Both build AI agents — what's actually different?

The finish line. Dust agents assist the team that consults them; an Alomana operator owns the process — it reads the data, decides the steps, acts across your systems in an isolated sandbox, and escalates only exceptions. The result can ship as a full-stack internal app.

Can Alomana build internal AI apps, not just agents?

Yes — it's the core wedge. Describe the app you need and Alomana builds a persistent internal application — React frontend, live backend — wired to your data through 20+ connectors and reusable by the whole team.

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.

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