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.
Agentspace brings agents and permissions-aware search to enterprises inside Google's cloud. Alomana is the EU-native counterpart: model-agnostic operators run processes end-to-end and ship as full-stack internal apps, in a single-tenant 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.
Google Agentspace
Google Cloud's enterprise AI offering (folded into Gemini Enterprise): permissions-aware search across company knowledge plus a gallery of prebuilt and custom agents, built around Google's Gemini models.
Agentspace equips enterprises with agents and search inside Google's ecosystem; Alomana removes the operation — EU-native operators run the process 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 | Google Agentspace |
|---|---|---|
| Core job | Run the process end-to-end and escalate exceptions | Search company knowledge and run agents grounded in it |
| Primary output | Deployed operators + persistent internal apps on live data | Answers, agent runs, and automations inside the platform |
| Building AI apps | Describe an app → a full-stack internal app (React frontend + live backend) wired to your data | Agent building and orchestration within the Google Cloud stack |
| Models | Model-agnostic — OpenAI, Gemini, Anthropic; open-source enabled on request | Built around Google's Gemini models |
| EU & tenancy | EU-based company, GDPR-compliant; dedicated single-tenant instance; data never trains models | Runs on Google Cloud, integrated with the Google ecosystem |
| Data connection | 20+ read/write connectors — agents act on systems, not only read them | Connectors across Google Workspace and third-party enterprise apps |
See the full platform on the product page, or compare plans — free to start, no credit card.
Which is right for you
You want an EU-native, model-agnostic platform where operators run whole processes and ship real internal apps — under single-tenant governance.
You're committed to the Google Cloud ecosystem and want agents and enterprise search deeply integrated with it.
Questions, answered
For enterprises that want agents actually running work, yes — with an EU-native footprint. Agentspace pairs enterprise search with agents inside Google Cloud; Alomana builds operators that run processes end-to-end, model-agnostic, deployed in a dedicated single-tenant instance — GDPR-compliant and ISO 27001 certified.
Alomana is ecosystem-neutral: model-agnostic (OpenAI, Gemini, Anthropic, open-source on request) and connected to your stack through 20+ connectors — Google Workspace included. You choose the models and the systems; the platform runs the work.
Google folded Agentspace into Gemini Enterprise, its umbrella enterprise AI offering, in late 2025. The comparison holds either way: agents and search inside Google's ecosystem versus an EU-native, model-agnostic platform whose operators run work end-to-end and ship internal apps.
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.