Private AI

Private AI on premise for your company’s documents

RagINS is private AI on premise for company knowledge: it can be deployed inside infrastructure your organisation controls and answers employees’ questions from your documents, with a citation on every grounded answer. A built-in answer mode and a self-hosted embedding model let it work without sending documents to an outside AI service — for organisations in Egypt, Saudi Arabia, the UAE and the GCC with strict data rules.

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How private AI on premise works with RagINS

  1. 01

    Choose where it runs

    Cloud, on-premises or hybrid. The deployment plan maps every data and model flow, and who operates each part.

  2. 02

    Choose the answer engine

    A built-in mode composes the answer from the retrieved passages with no network call, no third party and no key — or use an approved model endpoint, such as one in your own cloud region.

  3. 03

    Keep embeddings in your network

    Point the embedding service at a self-hosted multilingual model through a standard embeddings API. Changing models re-indexes only what is stale.

  4. 04

    Deny by default

    No outside model provider can be used for a company until it is approved, and a provider failure never sends your evidence to another vendor.

  5. 05

    Govern the data

    Company isolation, per-document access rules, a hash-chained audit trail, a retention window with legal hold, and backups whose restore is verified.

  6. 06

    Watch it run

    A health check reports the database and audit-chain integrity, and the operator console shows which providers are live and which run on the built-in fallback.

Private AI for Egypt, Saudi Arabia, the UAE and the GCC

Saudi Arabia

When policy or a regulator requires documents to stay inside the Kingdom, an on-premises or hybrid RagINS keeps them in your data centre. Whether rules such as the PDPL apply is your compliance team’s decision; RagINS gives them the controls.

United Arab Emirates

Choose an agreed cloud region, your own premises or hybrid, and record in the plan which components, if any, call an outside service.

Egypt

Organisations that keep data in-house can run RagINS on their own servers; Epsilon’s Egypt team scopes the compute, storage and operations.

Across the GCC

A group can run one platform with each company as an isolated workspace, or a separate installation per country.

How to choose private AI on premise

  1. 1

    What actually runs inside

    List every component — application, database, embedding model, answer model — and where each one runs.

  2. 2

    What leaves the network

    Ask which calls go out, and whether each one can be switched off.

  3. 3

    Answer quality without an outside model

    Compare the built-in answer mode with an approved model on your own documents.

  4. 4

    Arabic in the self-hosted model

    Cross-language search needs a multilingual embedding model; test it on Arabic and English files.

  5. 5

    Day-two operations

    Backups, restore drills, updates, and who patches what.

  6. 6

    Identity and audit

    Two-factor sign-in and passkeys, directory provisioning (SCIM) and a tamper-evident audit trail.

  7. 7

    Connected sources

    Documents, wikis and drives indexed with their permissions preserved: confirm in the pilot that each source you use is connected inside your boundary.

Frequently asked questions

What is private AI on premise?

AI that runs inside infrastructure your organisation controls, so documents and questions stay within your boundary. RagINS applies it to company knowledge: answers from your documents, with sources.

Can RagINS work without sending data to an outside AI service?

Yes. The built-in answer mode makes no network call, and the embedding model can be self-hosted in your network. In this mode the answer is composed from the retrieved passages themselves.

Which AI models can it use?

Approved model providers are set per deployment and per company, deny-by-default — for example a model hosted in your own cloud region — or the built-in mode. The choice is confirmed during setup.

What hardware does it need?

It depends on users, document volume and the models you run in-house. Epsilon validates compute and storage needs during scoping.

Does a private deployment lose Arabic support?

No. Arabic normalisation is built in. For Arabic-to-English search, choose a self-hosted multilingual embedding model.

Who operates it?

Patching, backups and operational ownership are agreed in the deployment scope. RagINS includes backups with a restore check and a health endpoint for monitoring.

Plan a private AI deployment with Epsilon

Tell us your data rules and infrastructure. The Epsilon team maps the components, data flows and models with you and scopes a pilot.

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