Not to fill a gap, but to compete.

We work side by side with our clients in Syria and the region, from planning to launch and ongoing support.

Odoo Partner

We are an Odoo partner

We implement, customise and integrate Odoo for businesses in Syria and the region: accounting, sales, inventory and HR in one system, set up around how your team already works.

Talk to us about Odoo

Capability

Four disciplines we build and support end to end — pick one to see what it covers.

01Digital Identity
02Custom Apps
03AI Solutions
04Security & QA

01 / 04

Digital Identity

We build a proper online digital identity for your business, turning it into an effective tool for attracting customers and driving profit.

Multilingual
SEO
Fast performance
Responsive on all devices

View service

Website solutions

We build your business's digital identity online the right way, turning it into an effective tool for attracting customers and driving profits.

Compare the solutions

Scope 1/5

Presence

Polished one-pager

3–5 business days

A single elegant page that puts your identity front and centre — ideal for events and exhibitions.

Static page
Arabic content
Basic on-page SEO

Get started

Scope 2/5

Reach

Bilingual website

5–10 business days

A bilingual website that helps your customers find you and understand what you offer in Arabic and English.

Arabic and English content
Solid SEO setup
Structured data

Get started

Scope 3/5

Authority

Most requested

2–3 weeks

An advanced, search-focused solution for organisations that need trust, professionalism, and the ability to compete.

Everything in Reach
Advanced multilingual SEO and GEO
A strong performance foundation built to modern web standards

Get started

Scope 4/5

Growth

Content you manage

4–5 weeks

A website whose content you manage yourself without touching code — suited to teams that publish updates regularly.

Everything in Reach
Dynamic content via a simplified content management system (CMS)
AI tools for drafting and translating content

Get started

Scope 5/5

Dominate

Scalable platform

5–8 weeks

A long-term growth platform whose dynamic content is built to be indexed, discovered, and given a stronger chance of climbing search results.

Everything in Growth
Indexable dynamic content
Full SEO and GEO setup

Get started

Scroll

Our own products

These are products we designed, built, and run ourselves — the same expertise we bring to your project.

Security

Asinnah VPN

Secure Your Digital Freedom with Asinnah VPN

Inside

State-of-the-Art Encryption
Global Network
Flexible Plans

Learn Morevpn.asinnah.com01 / 03

Learning

Asinnah Academy

Unlock Your Potential with Asinnah Academy

Inside

Premium, Curated Learning Materials
Lightning-Fast Platform and Seamless Experience
Unbeatable Prices and Offers

Learn Moreacademy.asinnah.com02 / 03

Infrastructure

Asinnah Account

Your Unified Identity and Payment System with Asinnah Account

Inside

Secure Single Sign-On Across All Services
Integrated Payment System for Seamless Transactions
Unified Dashboard with Cross-Platform Access

Learn Moreaccount.asinnah.com03 / 03

Our work

Real products and websites we've shipped for projects and organizations across Syria - and still support today.

01 / 04

Global One Financial Investments

A fast, bilingual website built as the digital front door for a Damascus Securities Exchange brokerage.

Bilingual Arabic/English site with correct RTL design
Managed content - the team publishes news and updates without code
Built-in AI tools for copy refinement and translation

View case study View live site

02 / 04

Fundoze

Childcare management system - sessions, billing, attendance, and reports in one place.

Sessions, subscriptions, and attendance
Payments and receipts
Financial statistics and reports

View case studyPrivate product

03 / 04

Iliad Tours & Travel

Tourism site with WhatsApp booking for guided tours across Syria.

Curated tour showcase
Itinerary browsing and tour planning
Direct WhatsApp booking

View case study View live site

04 / 04

ICT Incubator

Platform for the Homs ICT Incubator linking founders with mentors and investors.

Training and mentorship
Founder–investor matching
Capacity building

View case study View live site

See all work

Research

When the team solves something hard, it writes it up properly. Our own reports are here in full, free to read with no form in the way; the papers we publish with Springer and IEEE link straight to the publisher.

Enhancing Cybersecurity Incident Response Efficiency Through Autonomous Agentic AI: Design, Implementation, and Evaluation with Wazuh SIEMMohamad Nour Shahin, Ruslan DamindarovSVCC 2026AbstractSecurity Operations Centers (SOCs) increasingly struggle with high alert volumes, limited analyst capacity, and strict mean-time-to-respond (MTTR) targets in industrial environments. This paper evaluates an AI-assisted incident-response workflow that integrates the Wazuh Security Information and Event Management (SIEM) platform with an AI assistant through a Model Context Protocol (MCP) server. In Phase 0, we establish a manual baseline: a human analyst triages alerts and writes incident reports for controlled attack scenarios deployed on Amazon Web Services (AWS) hosts protected by Wazuh agents, achieving 83.33% detection rate, 10.04 minutes average analysis time, 846 minutes dwell time, and 804 minutes MTTR. In Phase 1, the same scenarios are executed with AI assistance that uses MCP tools to query the Wazuh manager, enrich alerts, and generate structured incident reports, resulting in 91.67% detection rate (+8.34 percentage points), 1.23 minutes analysis time (−88%), 222 minutes MTTR (−72%), and 222 minutes dwell time (−74%) compared to Phase 0. In Phase 2, we extend the system with fully automated active-response capabilities, including IP blocking, account disabling, automated metrics tracking, and automatic reporting to the SOC engineer. Under this configuration, the system achieves 0.15 minutes average analysis time (98.5% faster than Phase 0), 15.2 minutes MTTR (98.1% faster than Phase 0), and 13.9 minutes dwell time (98.4% faster than Phase 0), with 87.50% precision and an 8.33% false-positive rate, both better than earlier phases. We measure key operational metrics, including mean time to detect (MTTD), analysis time, mean time to acknowledge (MTTA), mean time to respond (MTTR), detection quality, and attacker dwell time. The results confirm that MCP-based AI support can significantly improve analyst efficiency, response speed, and risk exposure, and that fully automated MCP-driven response further optimizes MTTR and dwell time, provided adequate SIEM rule coverage is in place.

Formulation of the Maximum Independent Set Problem on QDeep Hybrid Solver: Benchmarking Quantum Solutions on Real-World GraphsMahmoud Naderi, Mohammad Jaafar, Haydar Sarhan, Marko Pezer, Muhammad Naveed Zafar, Manuel MazzaraAINA 2026AbstractThe Maximum Independent Set (MIS) problem is a fundamental NP-hard problem with widely known applications in network science, scheduling, bioinformatics, and combinatorial optimization. Recent advances in hybrid quantum–classical computing have introduced new opportunities for solving large-scale discrete optimization problems through Quadratic Unconstrained Binary Optimization (QUBO) formulations. In this work, we investigate the performance of the QDeep QonQuester Cloud platform, a secure hybrid quantum–classical optimization system, for solving MIS instances of varying scales and graph densities. We encode MIS as a QUBO problem and evaluate QDeep’s black-box solver selection mechanism, which automatically chooses between quantum, heuristic, and classical backends based on input structure. Our work highlights the strengths and limitations of hybrid QUBO-based solvers for combinatorial graph problems and provides insights for applying quantum-ready optimization tools to MIS and related NP-hard problems. The results indicate that hybrid approaches – such as QDeep – offer a practical pathway toward using quantum computing concepts for real-world optimization tasks before full-scale quantum hardware becomes widely available.

Quantum Microservices: Transforming Software Architecture with Quantum ComputingSuleiman Karim Eddin, Hadi Salloum, Mohamad Nour Shahin, Badee Salloum, Manuel Mazzara, Mohammad Reza BahramiAINA 2024AbstractThis paper conducts an exhaustive exploration of the evolutionary journey of microservices within the domain of software architecture. It meticulously traces the historical trajectory, current status, and potential future pathways of microservices in software design. Additionally, this study introduces a pioneering concept known as Quantum Microservices. Quantum Microservices represent a novel approach aimed at augmenting software design by leveraging concepts from quantum computing. In this paper, we will delve into defining their architecture, core features, challenges, and future prospects. This study envisions their pivotal role in reshaping the landscape of software development by offering enhanced efficiency and innovation opportunities.

13 August 2026SVCC 2026

Enhancing Cybersecurity Incident Response Efficiency Through Autonomous Agentic AI: Design, Implementation, and Evaluation with Wazuh SIEM

Mohamad Nour Shahin and Ruslan Damindarov

Security Operations Centers (SOCs) increasingly struggle with high alert volumes, limited analyst capacity, and strict mean-time-to-respond (MTTR) targets in industrial environments. This paper evaluates an AI-assisted incident-response workflow that integrates the Wazuh Security Information and Event Management (SIEM) platform with an AI assistant through a Model Context Protocol (MCP) server. In Phase 0, we establish a manual baseline: a human analyst triages alerts and writes incident reports for controlled attack scenarios deployed on Amazon Web Services (AWS) hosts protected by Wazuh agents, achieving 83.33% detection rate, 10.04 minutes average analysis time, 846 minutes dwell time, and 804 minutes MTTR. In Phase 1, the same scenarios are executed with AI assistance that uses MCP tools to query the Wazuh manager, enrich alerts, and generate structured incident reports, resulting in 91.67% detection rate (+8.34 percentage points), 1.23 minutes analysis time (−88%), 222 minutes MTTR (−72%), and 222 minutes dwell time (−74%) compared to Phase 0. In Phase 2, we extend the system with fully automated active-response capabilities, including IP blocking, account disabling, automated metrics tracking, and automatic reporting to the SOC engineer. Under this configuration, the system achieves 0.15 minutes average analysis time (98.5% faster than Phase 0), 15.2 minutes MTTR (98.1% faster than Phase 0), and 13.9 minutes dwell time (98.4% faster than Phase 0), with 87.50% precision and an 8.33% false-positive rate, both better than earlier phases. We measure key operational metrics, including mean time to detect (MTTD), analysis time, mean time to acknowledge (MTTA), mean time to respond (MTTR), detection quality, and attacker dwell time. The results confirm that MCP-based AI support can significantly improve analyst efficiency, response speed, and risk exposure, and that fully automated MCP-driven response further optimizes MTTR and dwell time, provided adequate SIEM rule coverage is in place.

1 July 2026Technical report

CyberNet: A Scenario-Based Web Serious Game for Everyday Cybersecurity Awareness

Mohammad Jaafar

Cybersecurity breaches often result from human decisions rather than technical failures, yet traditional awareness training, delivered through static e-learning and compliance courses, rarely holds attention or changes behaviour. This paper designs, implements, and evaluates CyberNet, a scenario-based web serious game that encodes five everyday threats (phishing, password choice, voice phishing, removable-media baiting, and public Wi-Fi exposure) as short branched decisions with narrated outcomes and debriefs, grounded in the MDA, MOTENS, and Garris frameworks. The five concept areas map onto a ten-item knowledge test, two items each. In a single-group, within-subjects, pre- and post-test study with N = 102 participants, mean accuracy rose from 54.80% to 77.75%, a gain of 22.94 percentage points (paired Cohen's d = 1.07, p < 0.001), and all five concepts reached family-wise significance under Holm–Bonferroni correction, with effects from d = 0.39 (vishing) to d = 0.85 (password). Confidently-incorrect answers fell from 39.8% to 20.3%, and moved into confident-correct rather than uncertainty. An eleven-item engagement survey scored high but did not correlate with the knowledge gain. The paper contributes a review of serious games for cybersecurity awareness, the deployed prototype released as an anonymous study instrument, empirical evidence from a within-subjects study, and a presentation-layer instrument that evaluates narration, music, and visual design as a distinct dimension. Limitations of the single-session design and three extensions (a control group, a delayed-retention follow-up, and a post-debrief behavioural probe) are discussed.

1 May 2026AINA 2026

Formulation of the Maximum Independent Set Problem on QDeep Hybrid Solver: Benchmarking Quantum Solutions on Real-World Graphs

Mahmoud Naderi, Mohammad Jaafar, Haydar Sarhan, Marko Pezer, Muhammad Naveed Zafar, and Manuel Mazzara

The Maximum Independent Set (MIS) problem is a fundamental NP-hard problem with widely known applications in network science, scheduling, bioinformatics, and combinatorial optimization. Recent advances in hybrid quantum–classical computing have introduced new opportunities for solving large-scale discrete optimization problems through Quadratic Unconstrained Binary Optimization (QUBO) formulations. In this work, we investigate the performance of the QDeep QonQuester Cloud platform, a secure hybrid quantum–classical optimization system, for solving MIS instances of varying scales and graph densities. We encode MIS as a QUBO problem and evaluate QDeep’s black-box solver selection mechanism, which automatically chooses between quantum, heuristic, and classical backends based on input structure. Our work highlights the strengths and limitations of hybrid QUBO-based solvers for combinatorial graph problems and provides insights for applying quantum-ready optimization tools to MIS and related NP-hard problems. The results indicate that hybrid approaches – such as QDeep – offer a practical pathway toward using quantum computing concepts for real-world optimization tasks before full-scale quantum hardware becomes widely available.

10 April 2024AINA 2024

Quantum Microservices: Transforming Software Architecture with Quantum Computing

Suleiman Karim Eddin, Hadi Salloum, Mohamad Nour Shahin, Badee Salloum, Manuel Mazzara, and Mohammad Reza Bahrami

This paper conducts an exhaustive exploration of the evolutionary journey of microservices within the domain of software architecture. It meticulously traces the historical trajectory, current status, and potential future pathways of microservices in software design. Additionally, this study introduces a pioneering concept known as Quantum Microservices. Quantum Microservices represent a novel approach aimed at augmenting software design by leveraging concepts from quantum computing. In this paper, we will delve into defining their architecture, core features, challenges, and future prospects. This study envisions their pivotal role in reshaping the landscape of software development by offering enhanced efficiency and innovation opportunities.

All research

Track record

We are still supporting clients we delivered for years ago. That is the whole argument.

Core services under one roof

Products of our own

Languages, first-class

Projects still supported

Insights

The work that was worth explaining — security, DevOps and the infrastructure questions our clients keep asking.