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.
Glean helps employees find and understand what the company knows. Alomana takes the next step: operators that run the process end-to-end on your systems, and ship as persistent internal apps.
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.
Glean
An enterprise search and work AI platform: it indexes company knowledge across your apps and answers questions with permissions-aware, cited results, with agents built on that knowledge layer.
Glean is the layer that finds and explains company knowledge; Alomana is the layer that executes — operators run the work and the result ships 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 | Glean |
|---|---|---|
| Core job | Run the process end-to-end and escalate exceptions | Find and synthesize answers from company knowledge |
| Primary output | Deployed operators + persistent internal apps on live data | Permissions-aware answers with citations |
| Agents | Operators act across systems and write & run real code in an isolated sandbox | Agents grounded in the indexed company knowledge |
| Data connection | 20+ read/write connectors — agents act on systems, not only read them | Broad connector catalog for indexing and permissions-aware search |
| Building AI apps | Describe an app → a full-stack internal app wired to your data, reusable by the team | Assistant and agent experiences on the knowledge platform |
| EU & tenancy | EU-based, GDPR-compliant; dedicated single-tenant instance; data never trains models | US-based platform serving global enterprises |
See the full platform on the product page, or compare plans — free to start, no credit card.
Which is right for you
You want operations removed — processes run end-to-end on your systems, with EU-native, single-tenant governance — and real internal apps, not only answers.
Your priority is enterprise search: helping employees find and understand what the company already knows.
Questions, answered
If the goal is doing the work, yes. Glean excels at finding and explaining company knowledge; Alomana builds operators that run processes end-to-end across your systems and ships persistent internal apps — with EU-native, single-tenant governance.
Search makes people faster at finding; it still leaves the work with the person. An operator removes the operation: it reads the data, decides the steps, acts on your systems, and escalates only exceptions. Answers are the input — the finished process is the output.
Yes. Documents and archives are indexed with hybrid retrieval and folder-scoped search, and agents answer with sources cited. The difference is what happens next: on Alomana, the same agent that found the answer can act on it across your systems.
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
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