In nebulaONE®, an agent is a named assistant that you configure. Give it a job, point it at your own documents and systems, choose who is allowed to use it, and publish. One deployment supports unlimited agents and unlimited audiences.






How tenant isolation, SSO and audit logging actually work.

Which models are supported today, and how to choose one per task.

Who used what, when, and with which data.

Every one of these runs on the same deployment. There is no per-agent licence and no cap on how many you publish.

Answers password, access and printer questions from your knowledge base, and escalates the rest.

Handles aid, forms and deadline questions so advisers keep their time for the exceptions.

Answers student questions on syllabus and readings around the clock, inside course boundaries.

Confidential answers on benefits, leave and handbook policy, scoped to the person asking.

Responds to applicant questions at every funnel stage. It never makes admissions decisions.

Analyses datasets and synthesises literature, with embargoed data never leaving your tenant.

Public-facing answers sourced from your existing web and policy pages, in the visitor’s language.

Reads agreements and surfaces clauses, renewal dates and obligations for the team that owns them.
Four steps. No code, no pipeline, no engineering ticket.

Point the agent at what it should know: policy PDFs, handbooks, SharePoint sites, course material, your student or HR systems. It answers from your content, not from the open internet.
The agent finds the relevant passage in the right document and shows where the answer came from, so the person asking can check it.
Allow live web search on the agents where currency matters, and switch it off entirely on the ones that have to stay internal.
Attach a spreadsheet and ask questions of it. The agent reads the data, explains what it finds, and generates charts or images as part of the answer.
Because your people are already using AI, and most of that use is happening where you can't see it. Students paste coursework into free ChatGPT accounts. Faculty use personal Claude and Gemini subscriptions. None of it is logged, none of it is covered by your data agreements, and your compliance team has no visibility.
nebulaONE gives everyone on campus a sanctioned place to do that work. It runs alongside the tools you already license and gives IT one set of controls across every model: which models are available, how much each user can spend, and a record of every interaction.
It stays in your Microsoft Azure tenant. nebulaONE is deployed inside your own Microsoft Cloud environment, so conversation history, files, knowledge sources, and agent data all live there, behind your Entra ID sign-in and role-based access controls.
When someone sends a prompt, it goes straight from your tenant to Azure AI Foundry. nebulaONE isn't in that path. We provide the platform and governance tools, and your data never touches our infrastructure.
nebulaONE is built for institutions that answer to these frameworks, and the controls are part of the core platform.
The controls are in place from day one. SSO and role-based access mean AI follows the same access rules as your other systems. The audit trail records who asked what, when, and which model answered. Retention settings delete chat content automatically after a period you choose.
We'll provide compliance documentation, security architecture briefings, and vendor risk materials for your procurement review.
You pay for what people use, not for seats. That changes who gets access: instead of licensing a few hundred power users, you can open AI to every student, faculty member, and staff person, and pay only for actual use.
It also ends budget fights between departments over who gets licenses.
Admins can cap monthly spend per user and track consumption on usage dashboards. We can help model costs for your institution's size and expected usage.
Most institutions go live campus-wide in four to eight weeks.
nebulaONE deploys into the Azure tenant you already have, and our team handles the deployment end to end. Launch requires no custom integration. You don't need to hire engineers or build infrastructure, and you don't need staff to run it afterward, because we manage platform operations like system updates.
Most schools start by launching ONEchat under their own branding, then add departmental agents and integrations once people are using it.


Every day without governance is another day of AI happening to you instead of for you. Take control of your data, your budget, and your security today.