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AI workspace for employees → operators that run the workAlomana vs Langdock

Langdock gives every employee a compliant AI workspace. Alomana removes the operation: operators run the process end-to-end and ship as persistent internal apps — in a workspace your company controls.

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

The short version

What is Alomana, and what is Langdock?

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 — with every run logged and auditable, in a workspace you control.

Langdock

A European AI workspace for companies: employees chat with leading models, build assistants and workflows on company knowledge, with GDPR compliance and EU hosting as core commitments.

Langdock equips employees with a compliant AI workspace; Alomana removes the operation — operators run the process and the result ships as a real application, not a chat.

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 Langdock?

CapabilityAlomanaLangdock
Primary outputDeployed operators + persistent internal apps on live dataA workspace of chats, assistants, and workflows for employees
Where value landsThe process is removed — an operator runs it and escalates exceptionsEmployees get faster with AI assistance in daily work
Building AI appsDescribe an app → a full-stack internal app wired to your data, reusable by the whole teamAssistant- and workflow-centric building inside the workspace
Agents that executeOperators act across systems and write & run real code in an isolated sandboxAssistants and workflow automation on connected company tools
EU & dataEU-based, GDPR-compliant; dedicated single-tenant instance; your data never trains modelsEU-based and GDPR-compliant, with European hosting options
ModelsModel-agnostic — OpenAI, Gemini, Anthropic; open-source enabled on requestMultiple leading model providers from one workspace

Which is right for you

When to choose Alomana vs Langdock

Choose Alomana if…

You want whole processes run end-to-end and real internal apps on your data — not only a safer way for employees to use AI.

Choose Langdock if…

You want to roll out compliant AI chat and assistants to every employee across the company.

Questions, answered

Alomana vs Langdock, FAQ

Is Alomana a Langdock alternative?

For running the work, yes. Both are EU-native and GDPR-first. Langdock is an AI workspace where employees use assistants; Alomana builds operators that run processes end-to-end and deploys persistent internal apps on your live data.

Both are EU-based and GDPR-compliant — what's actually different?

The output. A workspace makes people faster; an operator removes the operation. On Alomana you describe the work and get a running operator — and the result can ship as a full-stack internal app your team reuses, not a conversation.

Can Alomana build internal AI apps, not just assistants?

Yes — it's the core wedge. Describe the app you need and Alomana builds a persistent, secure internal application wired to your data through 20+ connectors, powered by your agents, and usable 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.

ISO 27001GDPRSingle-tenant