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RAYAN

AI-NATIVE SOFTWARE ENGINEERING

We Don't Sell Code. We Engineer Outcomes.

Rayan turns Entekhab Group's real business problems into products, technology capabilities, and measurable outcomes — from requirements analysis through deployment and operation.

Why Rayan

Not a new programming team — a standing engine that turns problems into products.

Outcome-driven

Success is measured by outcomes achieved — not code delivered.

Engineering

Every solution must be engineered, resilient, and built to extend.

AI-Native

AI is part of the engineering process from day one, not an add-on at the end.

Ownership

Knowledge and assets created must be usable by both the customer and the capability center.

Transparency

Cost, time, quality, and risk must be measurable on every project.

Learning

Every project should strengthen the capability behind the next one.

Why Rayan

Speed

Faster delivery through a standardized engineering process and AI-native tooling.

Quality

Standardized engineering, with technical governance from architecture to operations.

Cost

Lower total cost of software ownership over time through reuse.

Capability

Real internal capability built for the customer, not just a one-off handoff.

Outcome

Focused on measurable outcomes, not just scope delivered.

Product Engineering

From an early idea or need to production, alongside the customer.

Custom Development

A bespoke product or system tailored to your organization's own processes.

Legacy Modernization

Redesign, API-enablement, and gradual migration of legacy systems.

Dedicated Engineering Team

A ready, coordinated engineering team instead of direct hiring.

Outsourcing

Rayan takes ownership of executing part or all of a product.

Outstaffing

Specialist engineering staff supplied under a contractual model.

Engineering Process

In this model, a product isn't finished at Release — Release is where measuring the outcome begins.

01Discover
02Define
03Design
04Build
05Test
06Release
07Measure
08Improve

AI-Native

AI is part of Rayan's operating model

AI-Native doesn't mean Rayan's engineers use an AI tool to generate code — AI has to be present across every stage of engineering.

Analysis

AI analyzes and categorizes requirements.

Design

AI evaluates architecture options.

Development

AI speeds up code generation and completion.

Testing

AI suggests scenarios and test cases.

Security

AI reviews for vulnerabilities and risky patterns.

Documentation

Documentation is generated and kept up to date automatically.

Operations

Logs and incidents are analyzed with AI assistance.

Maintenance

Issues are diagnosed and a fix is proposed.

AI is an engineer's productivity multiplier — not a replacement for engineering governance.

Rayan's place in Fanasa

Rayan doesn't work alone

Rayan is one of Fanasa's core capability centers. A Rayan project can draw on security, cloud, customer, AI, and data-analytics capabilities alongside software engineering — without Rayan having to build every one of those capabilities itself.

This model lets Rayan evolve from a simple software company into an internal enterprise-solution integrator, without taking ownership of what the other capability centers own.

Rayan
Dejan
Titan
Ivan
Bonyan
Kavan

Customers

Who we work for

Entekhab Group companies

First priority — direct access, problem understanding, real data, and the ability to test in a live environment.

Large domestic organizations

Organizations that need software engineering, system modernization, AI, or a dedicated engineering team.

Technology companies

Companies outsourcing part of their own development capacity.

Regional & international markets

On the maturity path — regional customers and international engineering-services markets.

In summary

Rayan wasn't founded to sell programming; it was founded to build a technology engineering capability center.

and turn software engineering into sustainable value and revenue.