Our Technologies

Current technologies and tools we use in our modern software development processes. We provide high-quality solutions by selecting the most suitable technology stack for each project.

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About the Technologies We Use

Our team, which has been active in the sector since 2011, implements your projects with modern and reliable technologies.

On this page you can review our detailed technology stack and usage areas of each technology.

Frontend Technologies

Technologies we use to develop modern, responsive and performant user interfaces.

React.js

Component-based modern JavaScript library. Our preferred main technology for developing dynamic and interactive user interfaces.

Key Features:

Virtual DOM
Component Architecture
State Management
Hooks API

Use Cases:

SPA ApplicationsDashboardsE-commerce SitesAdmin Panels

Next.js

React-based full-stack framework. We develop performant web applications with server-side rendering, static site generation and API routes.

Key Features:

SSR/SSG
API Routes
Image Optimization
Automatic Code Splitting

Use Cases:

Corporate WebsitesBlog PlatformsE-commerceLanding Pages

Vue.js

Progressive JavaScript framework. We use it in rapid prototyping and development processes with its easy learning curve and powerful ecosystem.

Key Features:

Template Syntax
Reactive Data
Component System
Vue CLI

Use Cases:

Small-Medium ProjectsPrototypingLegacy IntegrationsSPAs

TypeScript

Type-safe version of JavaScript. We use it in large-scale projects to improve code quality and reduce error rates.

Key Features:

Static Typing
IntelliSense
Refactoring
Compile-time Checks

Use Cases:

Large ProjectsTeam CollaborationAPI DevelopmentMaintainable Code

Tailwind CSS

Utility-first CSS framework. Adopts modern CSS approach to create fast and consistent design systems.

Key Features:

Utility Classes
Responsive Design
Dark Mode
Custom Components

Use Cases:

Rapid PrototypingDesign SystemsResponsive DesignComponent Libraries

Backend Technologies

Server-side technologies we use to build strong, scalable and secure backend systems.

Node.js

JavaScript runtime environment. Our main platform for server-side JavaScript development. Provides high performance and scalability.

Key Features:

Event-driven
Non-blocking I/O
NPM Ecosystem
Cross-platform

Use Cases:

REST APIsReal-time AppsMicroservicesWeb Servers

PHP

Server-side scripting language designed specifically for web development. We prefer it especially in WordPress and Laravel projects.

Key Features:

Web-focused
Large Community
Framework Support
Database Integration

Use Cases:

WordPress SitesLaravel AppsLegacy SystemsCMS Solutions

Laravel

PHP's most popular framework. Offers elegant syntax and powerful features for rapid web application development.

Key Features:

Eloquent ORM
Artisan CLI
Blade Templating
Authentication

Use Cases:

Web ApplicationsAPI DevelopmentAdmin PanelsE-commerceCMS

Symfony

Powerful and flexible PHP framework. We prefer it for enterprise-level applications.

Key Features:

Component Based
Twig Templating
Doctrine ORM
High Performance

Use Cases:

Enterprise AppsComplex SystemsMicroservicesAPI Platform

Express.js

Minimal and flexible web framework for Node.js. We use it for developing RESTful APIs and web applications.

Key Features:

Middleware Support
Routing
Template Engines
Error Handling

Use Cases:

REST APIsWeb AppsMiddlewareServer Applications

Database Technologies

Modern database solutions we use for data storage, management and analysis.

MySQL

The world's most popular open source relational database. We use it in critical applications for its ACID compliance and high performance.

Key Features:

ACID Compliance
Replication
Partitioning
Full-text Indexing

Use Cases:

Web ApplicationsE-commerceData WarehousingOnline Analytics

PostgreSQL

Advanced open source object-relational database. Our preferred powerful solution for complex queries and large datasets.

Key Features:

JSONB Support
Advanced Indexing
Full ACID
Extensibility

Use Cases:

Complex ApplicationsAnalyticsGIS ApplicationsTime Series Data

MongoDB

Document-oriented NoSQL database. We use it in modern applications for its flexible schema structure and horizontal scaling features.

Key Features:

Document Storage
Horizontal Scaling
Flexible Schema
Aggregation Framework

Use Cases:

Content ManagementReal-time AnalyticsIoT ApplicationsMobile AppsBig Data

Sqlite

Light, file -based relational database.

Key Features:

Serverless
Zero Configuration
Self-Contained
Reliable

Use Cases:

Mobile AppsEmbedded SystemsTestingSmall Applications

Redis

In-Memory Data Structure Store.

Key Features:

In-Memory Storege
Data Structures
PUB/SUB
Lua scripting

Use Cases:

CaachingSession StoreReal-Time AnalyticsMessage queual

Mobile Technologies

Native performance mobile applications for iOS and Android platforms are the technologies we develop.

React Native

Cross-Platform Mobile Framework developed by Facebook.

Key Features:

Cross-Platform
Native Performance
HOT RELOADING
Large Community

Use Cases:

Mobile AppsCross-PlatformRapid DevelopmentCode SharingEnterprise mobile

Flutter

Google's UI Toolkit.

Key Features:

Single Codebase
Fast Development
Expressive UI
Native Performance

Use Cases:

Mobile AppsWeb AppsDesktop AppsEmbedded SystemsIoT Interfaces

Swift

Apple's modern programming language for iOS, macOS, watchos and tvos.

Key Features:

Type-safe
Performance
Modern Syntax
Apple Ecocystem

Use Cases:

iOS appsMacOS AppsEnterprise mobileHigh-Performance Apps

Kotlin

Modern JVM language.

Key Features:

Concise syntax
NULL SAFETY
Coroutines
Interoperable with Java

Use Cases:

Android AppsServer-Side AppsCross-Platform MobileEnterprise mobile

Electron.js

Desktop applications with web technologies Framework.

Key Features:

Cross-Platform Desktop
Web Technologies
Native APIS
Auto-updater

Use Cases:

Desktop ApplicationsCross-Platform ToolsProductivity AppsSystem Tools

Devops & Cloud

The application is the modern Devops tools we use for deployment, monitoring and infrastructure management.

Docker

Container Platform.

Key Features:

Containerization
Portability
Scalability
Resource Effeciercy

Use Cases:

Application DeploymentMicroservicesDevelopment EnvironmentCI/CDMulti-Cloud

AWS

Amazon Web Services Cloud platform.

Key Features:

Global Infrastructure
Managed Services
Auto Scaling
Security

Use Cases:

Web HostingDatabase hostingFile StorageCDN ServicesServerless

Google Cloud Platform

Google's Cloud Computing Services.

Key Features:

AI & ML Services
Global network
Kubernetes Engine
Bigquery

Use Cases:

AI ApplicationsBig DataKubernetes DeploymentAnalytics

Azure

Microsoft's Cloud platform.

Key Features:

Microsoft Integration
Hybrid Cloud
Enterprise Security
Azure Devops

Use Cases:

.NET ApplicationsEnterprise SolutionsIdentity ManagementHybrid deployments

Vercel

Frontend Deployment Platform.

Key Features:

Instant Deployment
Global cdn
Serverless Functions
Preview DEPLOYMENTS

Use Cases:

Frontent HostingStatic siteServerless APISPreview Environments

Firebase

Google's Backend-A-A-Service platform.

Key Features:

Real-Time Database
Authentication
Cloud Functions
Hosting

Use Cases:

Mobile BackendsReal-Time AppsAuthenticationAnalytics

AI & Machine Learning

Modern AI technologies that we use to develop artificial intelligence and machine learning solutions.

OpenAI GPT API

Using GPT-3.5 and GPT-4 models, we develop natural language processing, content production and chatbot solutions.

Key Features:

Natural Language Processing
Text Generation
Conversation AI
Code Generation

Use Cases:

ChatbotsContent GenerationCode AssistanceLanguage TranslationSummarization

Huging face

Open Source AI Models and Tools.

Key Features:

Pre-Trained Models
Fine-Tuning
Model Sharing
Transformers Library

Use Cases:

Text ClassificationNameed entity recognitionSentiment AnalysisQuestion Answering

TensorFlow

Google's open source machine learning library. We use it for developing and deploying AI models.

Key Features:

Deep Learning
Neural Networks
Model Training
Production Deployment

Use Cases:

Image RecognitionPredictive AnalyticsRecommendation SystemsNLP ApplicationsComputer Vision

PyTorch

Facebook's open source deep learning framework. We prefer it for research and development projects.

Key Features:

Dynamic Computation Graph
GPU Acceleration
Pythonic
Research Friendly

Use Cases:

Computer VisionNLPReinforcement LearningResearch Projects

Python

The most popular programming language for AI and Data Science. We use it extensively for machine learning and automation.

Key Features:

Rich Libraries
Data Science
Machine Learning
Rapid Prototyping

Use Cases:

Data AnalysisML ModelsAI ApplicationsAutomation ScriptsWeb Scraping

LangChain

Framework for developing LLM applications. We use it for building AI assistants and workflow automation.

Key Features:

LLM Integration
Chain of Thought
Memory Management
Tool Integration

Use Cases:

AI AssistantsDocument Q&AWorkflow AutomationKnowledge BasesRAG Applications

Pinecone

Vector database for AI applications. We use it for semantic search and recommendation systems.

Key Features:

Vector Search
Similarity Matching
Scalable
Low Latency

Use Cases:

Semantic SearchRecommendation SystemsRAGContent Discovery

Let's Determine the Most Suitable Technology Stack for Your Project with Our 14 Years of Experience

Each project is unique. We select the most suitable technologies by analyzing your needs and develop performant and sustainable solutions.

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