Uthereal enterprise AI platform

Uthereal CortexUthereal Cortex

The self-serve platform that lets your team turn enterprise data into your own private Agents and powered by your organisational Skills, grounded in your own sources, deployed under your control, no engineering required.

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How it works

From your sources to a working agent in minutes.

What is Uthereal Cortex

The private AI platform for teams whose knowledge is the product.

General-purpose chatbots answer from a shared model trained on the public web. Cortex is different: it answers from your documents, methodologies, archives and structured data, and cites the exact passage it used every time.

Knowledge Agents answer questions grounded in your sources. Skills Agents run multi-step expert workflows the way your senior people would. Both live in a self-serve workspace your domain experts can drive themselves, with SSO, role-based access and EU data residency built in.

Building your AI as a core capability.

Three audiences, one platform, powered by Knowledge Agents, Skills Agents and a SelfServe workspace your experts can drive themselves.

Consultancies

Codify methodology into repeatable, billable agents.

Publishers

Turn archives into interactive Subject Matter Experts.

Enterprise

One private knowledge base and the foundation of your AI.

Platform

Everything you need to run private AI at work.

Grounded answers with citations

Every response links back to the exact source passage. No hallucinated confidence.

Skills Agents for workflows

Codify multi-step expert work — briefs, reviews, syntheses — so anyone on your team can run them.

SSO, RBAC, audit logs

Single sign-on, role-based access, and full audit trails ship on day one.

EU data residency

Keep your data in the EU. GDPR compliant. SOC 2 in progress.

Your IP stays yours

Your knowledge never trains a public model. Ever.

Choice of models

Use the best foundation model for the job — swap without rebuilding your agents.

White-label and embed

Ship agents in your own product, site or app under your brand.

Self-serve, no engineers

Your domain experts build and shape agents themselves — engineering optional.

How we compare

Uthereal Cortex vs the alternatives.

A quick side-by-side of Cortex against the enterprise AI options teams usually shortlist.

CapabilityUthereal CortexChatGPT EnterpriseMicrosoft CopilotGleanCustom RAG build
Grounded in your private data with citationsYesPartialPartialYesYes
EU data residency / sovereigntyYesPartialPartialPartialPartial
Your IP never trains a public modelYesYesYesYesYes
Self-serve — no engineers requiredYesYesYesPartialNo
Skills Agents (multi-step workflows)YesPartialPartialNoPartial
White-label & embed in your productYesNoNoPartialYes
Choice of underlying foundation modelYesNoNoPartialYes
Time to first agentMinutesMinutesWeeksWeeksMonths

Comparison based on publicly available product documentation as of August 2026. Competitors evolve — verify current capabilities before purchasing.

FAQ

Questions teams ask us before they buy.

Uthereal Cortex is a self-serve enterprise AI platform that turns your private knowledge into grounded, citation-backed AI agents. It combines Knowledge Agents (that answer questions from your sources) and Skills Agents (that run multi-step expert workflows), all under your control with enterprise-grade security.
ChatGPT Enterprise and Copilot are general-purpose assistants layered on top of a shared model. Cortex is built to be grounded in your specific proprietary knowledge, with citations on every answer, EU data residency, and the ability to package your methodology as private white-labelled agents your team or customers can use. Your IP stays yours and never trains a public model.
A Knowledge Agent answers questions grounded in your private sources and cites the exact passages it used. A Skills Agent runs a multi-step expert workflow — think of it as codifying how your best people do a piece of work (a diligence review, a client brief, a research synthesis) so anyone in your team can trigger it consistently.
Your data stays in your Cortex workspace with EU data residency available. It is never used to train public foundation models. Cortex is GDPR compliant and we support enterprise controls like SSO, role-based access, and audit logs. SOC 2 is in progress.
Documents (PDF, Word, PowerPoint, Excel), wikis, SharePoint, Notion, Google Drive, cloud storage (S3, GCS), structured databases, transcripts, and audio/video content. If you have a source that is not listed, connectors can be added on request.
Yes. Every answer from a Knowledge Agent links back to the exact document and passage it was grounded in, so your team can verify and share with confidence.
Consultancies operationalising and monetising methodology, publishers turning archives into Subject Matter Experts, and enterprise teams building a private knowledge base and internal AI on top of it.
No. Cortex is designed as a self-serve workspace that your domain experts can drive themselves — from ingesting sources to shaping agents to deploying them. Engineering is only needed if you want to embed agents deeply into custom products via our API.
Cortex is currently in early access and is free during the pilot phase for qualifying teams. Book a walkthrough to get access and we will scope a pilot for your team.
Cortex is GDPR compliant with EU data residency available. SOC 2 is in progress. The platform ships with SSO, role-based access, and audit trails by default.
A Cortex agent is an AI assistant configured for a specific job. You define what it should help with, connect knowledge sources, customize how it responds, and deploy it when it is ready for users.
Use Create agent, then complete the setup flow: define the agent's name and purpose, add knowledge sources, and review the chat experience before finishing setup.
Draft means the agent is still being configured or cannot be deployed yet. Draft agents may be missing required details, knowledge sources, or completed setup stages.
Yes. You can manage an existing agent to adjust its purpose, knowledge, behavior, chat experience, branding, and sharing configuration without creating a new agent.
You can add supported files such as PDFs, DOCX, XLSX, CSVs, and similar document formats. You can also import websites and connected sources when those integrations are available in the workspace.
Cortex processes uploaded and imported sources before it can reliably use their contents. During processing, the source may appear in the product but answers may not yet include all of that knowledge.
Yes. You can continue configuring the agent while processing runs in the background. Deploy only when the knowledge you expect the agent to use is available.
Tag suggestions appear after a supported source has been added and the backend can generate labels for it. They are source-based, not generated before a file or website exists.
Yes. Preview lets owners test the agent experience before making it live for the intended audience.
Reference visibility controls whether users can see the source behind an answer. Shown reveals source context; Hidden keeps answers clean without inline source markers.
PDF references can open with highlighted evidence. Website references open the related URL. CSV and spreadsheet-style references may be presented as structured table context. Other files may show relevant text excerpts.
The chat may still work with sources that are already available, but Cortex may warn that knowledge base updates are incomplete until all documents finish processing.
Draft agents are not deployed. Live agents have been deployed and are available according to their sharing and access settings.
Yes. If an agent is made available to a real audience, even an internal one, it should be treated as deployed and managed like a Live agent.
Access depends on the sharing configuration. An agent can be limited to approved users, shared by link, or made available through the workspace settings supported by the product.
No. Saving edits updates the agent configuration. Deployment remains a separate action so owners can review changes before making an agent available.
Dashboard summaries and the Analytics page show usage information such as messages, conversations, and performance when real data is available.
That means users have not started conversations with that agent yet, or the usage data has not been recorded for the selected view.
Review the agent purpose, confirm sources finished processing, add clearer knowledge, check reference visibility, and preview the agent before sharing it more widely.
Use Support in Account settings to contact the team with the issue, priority, and any context that helps reproduce the behavior.

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