Less searching. More doing.
Help employees find relevant guidance without opening document after document.
Policies, procedures and technical manualsYOUR KNOWLEDGE. A SHARED ADVANTAGE.
Your company knows. Now everyone can find the answer.
An enterprise RAG knowledge assistant for IT, HR and operations teams — in Arabic and English. Turn policies, manuals and everyday documents into answers your people can ask for, open the sources and get back to work.
Cloud · On-premise · Hybrid — scoped around your requirements
Your company workspaceOne place to ask. Knowledge you can explore.
Can I carry unused leave into next year? — You can carry over up to 5 unused days. Use them by 31 March of the following year.
Illustrative sample content. Prewritten examples, not a live AI response or customer data.
Ask → find → verifyBuilt around your knowledge
A citation on every grounded answerIsolated per companyYour data stays in your tenantCloud, on-premise or hybrid
Built and delivered by Epsilon AI GlobalEnterprise AI since 2015 · Egypt · Saudi Arabia · USA
Projects & credentialsTHE BUSINESS PROBLEM
The answer exists. Finding it is the hard part.
When information lives across files, folders and people, even a simple question can interrupt a whole team.
Know where the answer came from.
Put supporting passages beside the answer so your team can inspect the evidence before acting.
Source-led decisions, with human reviewMake expertise easier to share.
Give new starters and distributed teams a starting point in your organisation’s documented knowledge.
Onboarding, support and continuityNew to RAG? Think of a colleague who starts by opening the right documents.
Retrieval-Augmented Generation combines document search with an AI assistant. It finds relevant passages first, then uses that context to help answer your question. Good results depend on your source quality, permissions and the retrieval setup.
WHY GROUNDING MATTERS
A general chatbot guesses. RagINS shows its work.
The difference between an answer you can act on and one you have to double-check is knowing where it came from — and whether it is even allowed to answer.
A general AI assistant
- Answers from public training, not your documents
- Can sound confident and still be wrong
- No source to open and verify
- Cannot see your policies, prices or projects
- Your prompts may leave your control
RAG.INS
- Answers only from your approved documents
- Every claim linked to the page it came from
- Says “not enough evidence” instead of guessing
- Reads your live knowledge, scoped by permission
- Runs in your tenant; not used to train public models by default
See it answer from your own documents.
Book a demoA LOOK INSIDE THE PLATFORM
See RagINS in action.
Real screens from the platform — asking a question, exploring the knowledge base and reviewing answer analytics.
FROM DOCUMENTS TO ANSWERS
A familiar way to work. A better way to find.
Prepare your knowledge
Select approved documents, organise collections and agree who should have access.
Ask naturally
Start a conversation about a policy, process, product or project.
Find the relevant context
Retrieval brings relevant passages into the answering workflow.
Verify and act
Review the source, apply your judgement and keep useful conversations for later.
SOURCE
Approved documents
Your policies, manuals and files, with access rules.
PREPARE
Indexed for search
Text is prepared and indexed so it can be found.
FIND
Relevant passages
Retrieval brings the most relevant passages to the question.
VERIFY
Answer with sources
A grounded answer, linked to the passages behind it.
START WHERE KNOWLEDGE MATTERS
One platform. Many everyday questions.
Choose a focused first use case. Validate it with the people who do the work, then expand.
People & HR
Policies, benefits and onboarding
“What is the process for requesting leave?”
Operations & engineering
SOPs, manuals and project documentation
“Which inspection checklist applies here?”
Commercial & procurement
Supplier guidance, proposals and playbooks
“What documents does a new supplier need?”
Customer & IT support
Troubleshooting and service knowledge
“What steps should I check first?”
Legal & compliance
Find clauses and policies for professional review
“Where is our data-retention policy?”
Leadership & knowledge teams
Institutional knowledge and decision context
“What did we document about this initiative?”
Which of these is your first use case?
Plan a pilotBUILT BY EPSILON AI GLOBAL
A delivery partner, beyond the demo.
Explore the people, projects and published credentials behind the platform. Bring your business, IT and security teams into the conversation early.
−80%
Research & retrieval time
Epsilon reports this outcome for a confidential government client whose knowledge was spread across departments.
Read the published caseReported by Epsilon delivery teams. A case-specific result, not a benchmark or a guaranteed result for your deployment.2015Company founded
3Registered markets: USA, Egypt, Saudi Arabia
100+Published client, training & partnership relationships
These describe Epsilon’s broader company experience; they are not RagINS customer or deployment counts.
ISO/IEC 27001ISO 9001:2015ISO 21001:2018ITIDA-licensed
Review certificate scope, expiry and the responsible contracting entity during procurement. Product acceptance is assessed separately for your deployment.
SIGNED CLIENT RECOGNITION
Organizations that put their recognition in writing.
Signed recognition letters from clients across Epsilon's delivery. They reflect the team's track record — not every organization is a deployment of this product.
Rowad Modern Engineering
Construction
Signed letter
Mogassam
Contact centre
Signed letter
Zylo3D
Manufacturing
Signed letter
NUT Botanicals
Retail & recommendations
Signed letter
AIT
Real-time data
Signed letter
YOUR ENVIRONMENT. YOUR REQUIREMENTS.
Choose where your knowledge works.
Three delivery options to discuss with Epsilon. Hosting, model routing, residency and operational responsibilities are agreed in the deployment scope.
Cloud
Run in an agreed cloud environment with a defined operating model.
- Agree region and data residency
- Define support and service targets
- Scope capacity, backup and recovery
On-premise
Plan deployment within infrastructure your organisation controls.
- Validate compute and storage needs
- Choose approved model endpoints
- Agree patching and operational ownership
Hybrid
Design which services run privately and which use approved cloud services.
- Map every data and model flow
- Set network and egress controls
- Document the shared responsibility model
TRUST IS SOMETHING YOU VERIFY
Bring your security checklistPut your requirements into the acceptance plan.
A production decision needs more than a polished answer. Your pilot should demonstrate the controls and evidence your organisation requires.
Who can access what?
Test company boundaries, user roles and document permissions with positive and negative access cases.
Can we verify the answer?
Check retrieval relevance, supporting sources and behaviour when the documents do not contain an answer.
Where does data go?
Document storage, model-provider processing, retention and approved network routes.
Who runs and supports it?
Agree monitoring, incident response, recovery tests, ownership and service expectations.
A CLEAR SCOPE FROM DAY ONE
Start with the platform. Validate your configuration.
In the application
Company workspaces, user administration, knowledge collections, document ingestion, chat history and source inspection provide the starting experience.
Configured for your deployment
Model provider, embedding setup, retrieval settings, Arabic/English answer quality and operational capacity need configuration and acceptance testing.
Scope during discovery
Source-system connectors, scanned-document OCR, enterprise SSO/SCIM, private models and retention requirements must be confirmed for your delivery scope.
Arabic and English interface options are available here. Cross-language retrieval quality depends on the selected models and corpus; evaluate it on your own representative questions.
A MEASURED PATH TO PRODUCTION
Prove value with your documents. Then scale with confidence.
Agree the success criteria before the pilot: answer quality, source accuracy, access control, response time and the operational handover.
Plan a pilot- 01
Discover
One team, one useful problem and a representative document set.
- 02
Configure
Confirm data boundaries, roles, models and deployment requirements.
- 03
Evaluate
Test real questions, unsupported requests and permission boundaries.
- 04
Roll out
Close acceptance gaps, train owners and hand over operating procedures.
BEFORE YOU START
Good questions deserve clear answers.
Do we need to know what RAG is?
No. Start with the questions your team struggles to answer and the documents that should answer them. Epsilon can help turn those into a focused pilot and an evaluation plan.
How is this different from a general AI chatbot?
RAG adds a retrieval step over your selected company knowledge. The goal is to answer with relevant context and sources, within the access rules configured for your deployment. It still needs quality testing and human review for consequential decisions.
Can we use Claude, OpenAI or Azure models?
Provider configuration is part of the platform. Confirm the supported endpoint, model, credentials, pricing and data-processing terms during setup. A connection is not enabled just because a provider appears in the interface.
Does it support Arabic and English?
The interface supports both languages, including right-to-left Arabic. Answer quality and retrieval across languages must be tested with your documents and selected models, especially scanned files, tables and mixed-language content.
Will our documents train a public AI model?
The answer depends on the selected provider and your contractual settings. Agree provider processing, retention, training restrictions and data residency explicitly. For private deployments, confirm all model and telemetry network routes as well.
Can it connect to our existing systems?
Start with the document workflow available in the platform. Discuss each required connector, permission synchronisation and refresh schedule during discovery; integrations must be validated individually before commitment.
How are scope and pricing agreed?
They depend on users, document volume, model usage, integrations, deployment and support. Request a scoped proposal with acceptance criteria and a clear allocation of hosting and provider costs.
LET’S START WITH YOUR TEAM
What could your people do with answers at their fingertips?
Tell us about your organisation. We’ll discuss the use case, show the application and define what a meaningful pilot should prove.
- A walkthrough for your business and technical teams
- Cloud, on-premise and hybrid options
- A clear scope and measurable next steps
Prefer to talk directly? ragins@us.epsilonaiglobal.com
Request your guided demo
Share business contact details. Please do not include confidential documents or personal records.
- Takes about a minute
- No obligation, no account created
- A real person replies within one business day
- Your details are never sold or shared