Our Tech Stack

Operating Systems

Windows: Used across development environments, particularly for enterprise applications and software requiring Microsoft integration.

Linux: Preferred for server environments due to its stability, security, and open-source nature. Essential for cloud deployments and AI model training.

Android: Platform for mobile application development, particularly for AI-driven apps and services.

iOS: Used for developing mobile applications on Apple devices, ensuring a seamless user experience in AI-UK’s mobile solutions.

Mac OS: Commonly used by developers for software development, particularly in design and iOS application development.

Programming Languages

Python: Primary language for AI and machine learning development, leveraging its ecosystem of libraries like TensorFlow, PyTorch, and scikit-learn.

JavaScript (Node.js): Used for building scalable, real-time backend services and RESTful APIs.

Java: Employed for enterprise-level applications, especially where stability and performance are crucial.

R: Utilised for statistical analysis and data visualisation in research-oriented projects.

C++: Applied in performance-critical components, particularly in machine learning models requiring optimisation.

Prolog: Used in AI applications requiring logic programming, particularly in knowledge representation and problem-solving.

AI and Machine Learning Frameworks

TensorFlow: For building and deploying deep learning models. Supports complex computations and large-scale machine learning tasks.

PyTorch: Preferred for research and development due to its flexibility and ease of use, particularly in experimental AI models.

Keras: A high-level API built on TensorFlow, used for quick prototyping of neural networks.

Apache Jena: Framework for building Semantic Web and linked data applications, used in AI-driven knowledge-based systems.

AI Foundation Models

GPT Series: Used for natural language processing tasks, including text generation, summarisation, and translation.

BERT: Employed in NLP for tasks like text classification, sentiment analysis, and question answering.

Jurassic-1 Jumbo: A large-scale language model used for various NLP tasks, offering high accuracy in language understanding.

Llama: A versatile model used for text-based tasks, particularly in multilingual applications.

LaMDA: Specialised in dialog applications, used for developing conversational AI and chatbots.

DALL-E: Utilised for generating images from textual descriptions, useful in creative and design applications.

Stable Diffusion: A text-to-image model used for generating high-quality images, applied in content creation and design.

CLIP: A model that connects vision and language, used for tasks like image classification and zero-shot learning.

Flamingo: Used for visual language understanding, particularly in tasks that combine text and image processing.

Development Frameworks

Django (Python): A high-level web framework used for building robust, scalable web applications.

Flask (Python): A lightweight micro-framework used for creating simple, flexible web applications and microservices.

Express.js (Node.js): A minimalist web framework for Node.js, used for building APIs and backend services.

Spring Boot (Java): Used for creating stand-alone, production-grade Spring-based applications with minimal configuration.

Symfony2: A PHP framework for building web applications, known for its scalability and flexibility.

Laravel: A PHP framework used for elegant and expressive syntax, facilitating rapid application development.

Yii: A high-performance PHP framework, ideal for developing large-scale applications.

CodeIgniter: A lightweight PHP framework used for rapid development with minimal configuration.

CakePHP: A PHP framework that provides a solid foundation for building web applications, offering a flexible database access layer.

Web Application Development

.NET: Used for building secure and scalable enterprise-level web applications, particularly in Microsoft environments.

PHP: Widely used for server-side scripting and building dynamic web applications.

J2EE (Java 2 Platform, Enterprise Edition): Used for developing large-scale, multi-tiered, scalable, and secure enterprise applications.

Ruby on Rails: A web application framework that allows for rapid development using the Ruby programming language.

AngularJS: A structural framework for dynamic web apps, offering a comprehensive solution for front-end development.

React.js: A JavaScript library for building user interfaces, particularly single-page applications with dynamic content.

Web Design UI

HTML5: The core technology for structuring and presenting content on the web.

CSS3: Used for describing the look and formatting of a document written in HTML, essential for responsive design.

Bootstrap 4: A front-end framework used for designing responsive and mobile-first websites quickly.

jQuery: A fast, small, and feature-rich JavaScript library that simplifies HTML document traversal, event handling, and animation.

Content Management & Ecommerce Software

WordPress: A content management system (CMS) used for building and managing websites, blogs, and online stores.

Drupal: A flexible and scalable CMS, often used for large-scale websites and complex content requirements.

Joomla: An open-source CMS for publishing web content, suitable for small to medium-sized businesses.

Magento: A powerful eCommerce platform for building and managing online stores.

Zen Cart: An open-source shopping cart software used for eCommerce websites.

PrestaShop: A freemium, open-source eCommerce solution, ideal for small to medium-sized online businesses.

Databases

MSSQL: Microsoft’s relational database management system, used for enterprise-level applications requiring advanced features like data warehousing and complex queries.

MySQL: A widely-used open-source relational database management system, known for its reliability and ease of use.

Oracle: A robust, scalable database system used for handling large-scale enterprise applications.

MongoDB: A NoSQL database used for handling unstructured data, flexible schema design, and scalability.

SQLite: A lightweight, file-based database used for local storage in applications.

Mobile Technologies

iOS (Objective C, Swift): Used for developing native applications on Apple’s iOS platform, ensuring high performance and integration with Apple’s ecosystem.

Android: For developing native applications on Google’s Android platform, supporting a wide range of devices.

Hybrid: Platforms like Ionic and Cordova used for developing mobile applications that work across both iOS and Android from a single codebase.

Flutter: Google’s UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase.

DevOps and CI/CD Tools

Docker: Used for containerising applications, ensuring consistent environments from development to production.

Kubernetes: For automating deployment, scaling, and management of containerised applications, particularly in cloud environments.

Jenkins: A widely-used automation server for building, testing, and deploying applications as part of the CI/CD pipeline.

GitLab CI/CD: Integrated into GitLab, it’s used for continuous integration and continuous delivery of code changes.

Terraform: An Infrastructure as Code (IaC) tool used for building, changing, and versioning infrastructure efficiently and safely.

Software Testing

PHPUnit: A programmer-oriented testing framework for PHP, providing a comprehensive testing suite.

Codeception: A PHP testing framework, used for acceptance, functional, and unit testing.

Selenium: Used for automating web application testing, ensuring that UI elements work as expected.

Appium: An open-source tool for automating mobile apps, used for both Android and iOS platforms.

AI Model Testing

Unitest: A framework for writing and running tests for AI models, ensuring their correctness and performance.

pytest: A testing framework for Python, used for unit and functional testing of AI models.

JUnit: A testing framework for Java applications, used for unit testing and integration testing.

TestNG: A testing framework inspired by JUnit, designed for test configuration, test group management, and more.

Jest: A JavaScript testing framework, particularly useful for testing frontend applications.

nose2: A test runner for Python, extending unittest to make testing easier.

MLflow: A platform for managing the machine learning lifecycle, including experimentation, reproducibility, and deployment.

Grafana: Used for visualising metrics related to AI model performance and system health.

Prometheus: A monitoring system that collects metrics from AI models and infrastructure, enabling performance tracking.

Project Management Tools

Jira: A project management tool used for tracking tasks, managing sprints, and facilitating Agile workflows.

Pivotal Tracker: An agile project management tool that helps teams build software by tracking progress and keeping everyone on the same page.

Trello: A flexible project management tool used for organising tasks and projects visually on boards.

Podio: A collaborative work platform used for project management and communication.

Basecamp: A project management and team collaboration tool, known for its simplicity and effectiveness in managing projects.