AI solutions · Egypt & MENA

AI solutions built for daily work.

We build AI solutions for businesses in Egypt and MENA, from document processing and company knowledge assistants to workflow agents connected to your systems, with defined human review.

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A person using ChatGPT on a laptop

When this is the right fit

Does this sound familiar?

01Teams repeatedly read, classify, compare, or summarize documents.

02Useful company knowledge is difficult to find or depends on a few people.

03Customer and internal requests wait in repetitive handoffs.

04An AI prototype exists, but it is not reliable enough for daily work.

Full AI capability

From AI strategy to systems that perform in production.

We cover the layers that separate a promising demonstration from dependable business capability: use-case economics, data, models, integrations, evaluation, governance, and adoption.

01

AI strategy and governance

Focus investment on valuable, feasible, and governable opportunities.

AI opportunity portfolio

Identify and rank use cases by value, repetition, data readiness, implementation effort, adoption, and risk.

Data and AI readiness

Assess source quality, access, privacy, architecture, team capability, and the work required before deployment.

Responsible AI operating model

Define ownership, acceptable use, human review, auditability, security, evaluation, and escalation standards.

02

Generative AI and agents

Create useful interfaces to knowledge, documents, tools, and action.

Knowledge assistants and RAG

Build evidence-grounded assistants over policies, manuals, contracts, product data, and internal knowledge.

Document intelligence

Classify documents, extract structured fields, compare submissions, summarize records, and route exceptions for review.

Copilots, agents, and conversational systems

Design assistants that prepare work, call approved tools, coordinate steps, and support customers or employees in Arabic and English.

03

Predictive and multimodal AI

Use the right form of intelligence for the decision, not only a language model.

Forecasting and decision support

Develop demand, workload, cash-flow, churn, risk, and operational forecasting where the data supports it.

Recommendations and personalization

Rank products, content, offers, or next actions using behavior, context, and explicit business rules.

Computer vision and multimodal workflows

Combine images, scans, audio, and text for inspection, verification, search, and operational assistance.

04

AI engineering and operations

Engineer for quality, control, cost, and continuous improvement.

Integration and orchestration

Connect models to Odoo, databases, APIs, communication channels, and the systems where work is completed.

Evaluation, guardrails, and red teaming

Test accuracy, grounding, safety, edge cases, and failure paths before users depend on the system.

LLMOps, MLOps, and optimization

Monitor quality, latency, cost, drift, and usage; compare models and prompts; and improve the system from production evidence.

What we deliver

What your team will have in place.

Opportunity map

A ranked view of use cases based on business value, feasibility, data readiness, and operational risk.

Knowledge and document systems

Assistants that search trusted sources, extract structured information, and keep answers tied to evidence.

Workflow agents

AI-assisted flows that prepare work, route exceptions, and call existing tools with defined human checkpoints.

Evaluation and control

Test sets, quality measures, access rules, observability, and clear boundaries for production use.

Where this creates value

Practical use cases tied to the way your business operates.

01

Arabic and English enterprise knowledge assistant

Business context

Policies, manuals, contracts, and technical knowledge are scattered across drives, portals, and individual inboxes.

What we can implement

Build a permission-aware assistant that retrieves approved sources, cites evidence, handles regional terminology, and routes uncertain answers.

Business benefit

Faster access to trusted knowledge without removing ownership from subject-matter experts.

02

Intelligent document operations

Business context

Teams repeatedly read invoices, quotations, applications, claims, or compliance evidence and re-enter the same fields.

What we can implement

Classify documents, extract and validate data, compare submissions, flag missing information, and send exceptions to a human reviewer.

Business benefit

Shorter processing cycles, less repetitive entry, and a review trail for sensitive decisions.

03

Service and operations copilot

Business context

Customer or employee requests require staff to search several systems before preparing a response or next action.

What we can implement

Connect a bilingual copilot to approved knowledge and business systems so it can prepare answers, update records, and propose next steps within clear limits.

Business benefit

More consistent service and faster handling while consequential actions remain controlled.

How we stay ahead

Advanced AI, engineered for accountable use.

The newest model is rarely the whole answer. We combine strong data foundations, model choice, product design, software engineering, and operational controls into one deployable system.

01

Value before novelty

Every use case has a business owner, a measurable baseline, acceptance criteria, and a defined cost of error before the build expands.

02

Model- and platform-agnostic

We select commercial, open, hosted, or private models according to quality, privacy, latency, cost, Arabic performance, and integration fit.

03

Arabic and English from the start

Retrieval, prompts, evaluation sets, user experience, and human review are designed for the languages and terminology your teams actually use.

04

Production discipline from day one

Source evidence, permissions, audit trails, fallbacks, human checkpoints, monitoring, and cost controls are part of the architecture from the start.

How the engagement works

Decisions stay close to the work.

Representative scenario

Illustrative example, not a published client claim.

A procurement team reviewing supplier submissions

Situation

Specifications, quotations, and email attachments arrive in different formats. Specialists spend hours finding missing details and preparing comparisons.

Designed system

A controlled AI workflow extracts key fields, links every answer to its source, flags inconsistencies, and prepares a comparison for human approval.

Potential value

Routine review moves faster while commercial and technical decisions remain with the responsible team.

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What you leave with

Useful change your team can own.

Faster handling of document-heavy work

Answers grounded in trusted company knowledge

Human control at consequential decisions

A repeatable path from prototype to production

Connected capability

Most important problems cross service boundaries.

We connect the right capabilities into one delivery plan, with one team responsible for the handoffs.

Data analytics and business intelligence

Data analytics for better business decisions.

We deliver data analytics and business intelligence for companies in Egypt and MENA, connecting sources, defining trusted KPIs and building dashboards and forecasts around management decisions.

Explore the service Business automation and workflow design

Business automation that keeps work moving.

We automate business processes for companies in Egypt and MENA, connecting approvals, documents and system handoffs through workflow design, integrations and RPA with clear controls.

Explore the service Custom software

Custom software that fits your business.

We develop custom software for companies in Egypt and MENA: internal tools, customer portals, web applications and integrations designed around your users and business rules.

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Questions worth asking

Before we start.

How do we know where AI will actually help?

We assess use cases against value, repetition, data access, risk, and adoption. If a simpler automation or process change is the better answer, we will say so.

Can our sensitive information stay controlled?

Yes. The architecture can limit data access, model exposure, retention, and user permissions. The right design depends on your systems and information policy.

Will AI make decisions without our people?

Only where that is appropriate and explicitly designed. High-impact actions can require review, show source evidence, and follow defined fallback paths.

Can you take an existing prototype into production?

Yes. We can evaluate what exists, keep what is sound, and add the engineering, testing, integrations, and controls needed for dependable use.

A useful first conversation

Tell us what needs to change.

We will help frame the problem, test the fit, and identify the most useful next move.

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