Mobile native apps
Our expert team harnesses a dynamic blend of global insights and technical prowess to create seamless, robust, and engaging mobile experiences for your audience. We provide end-to-end mobile app development, including ideation, design, development, testing, and post-launch support. Each step is designed with your business objectives in mind, ensuring that the final product not only meets but surpasses your expectations.
Native Mobile AppS
- iOS: Swift and Objective-C are the main programming languages used for iOS app development.
- Android: Java and Kotlin are the primary languages used for Android app development.
Cross-Platform Mobile AppS
- Flutter/Dart: a toolkit to create natively compiled applications for mobile, web, and desktop from a single codebase.
Mobile APPS’ Backend
- Firebase: a backend service for creating mobile and web applications with cloud services like authentication, real-time database, storage, push notifications and hosting.
- AWS Amplify: a set of tools for mobile and front-end web developers to build secure, scalable full-stack applications.
- Azure Mobile: a backend service for mobile app development, offering features like authentication, data storage, offline sync, and push notifications.
Mobile Game Development
- Unity: a game development platform used to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, and consoles. It uses C#.
- Unreal Engine: a powerful game development engine used for creating professional-quality 3D games. It uses C++ and its own scripting language, Blueprint Visual Scripting.
Interactive Web Applications
In the digital era, a powerful web presence is not just an option, but a necessity. We deliver comprehensive web application solutions designed to propel your business forward. Our offering spans from dynamic frontend user interfaces to robust and secure backend development.
HTML/CSS: The foundational languages for building and styling the structure of web pages.
- Bootstrap: a popular CSS framework for building responsive, mobile-first sites.
- Sass/LESS: scripting languages that are interpreted into CSS. They provide more advanced features like variables, nesting, and mixins.
- Express.js: a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
- PHP: a server-side scripting language mainly used for web development but also used as a general-purpose programming language.
- Python (Django, Flask): Django is a high-level Python web framework that encourages rapid development. Flask is a micro web framework written in Python.
- ASP.NET: a framework for building web apps and services with .NET and C#.
- Go/Gin: Go is a statically typed, compiled language known for its efficiency and ease of use. Gin is a HTTP web framework written in Go.
- SQL/NoSQL databases: PostgreSQL, MySQL, MongoDB, and Redis are popular choices for storing and retrieving data.
- GraphQL: an open-source data query and manipulation language for APIs, and a runtime for executing those queries with existing data.
Voice assistant skills
In the realm of digital innovation, interactive voice assistants have taken center stage. Harnessing the power of natural language processing and artificial intelligence, these tools offer an unprecedented level of convenience and accessibility that’s reshaping the way we interact with technology. Our team is at the forefront of this technological evolution, developing sophisticated voice assistants for both Amazon’s Alexa and Google Assistant. We craft voice applications, or ‘skills,’ that can answer questions, control smart home devices, play games, provide news updates, and much more – all through simple voice commands.
- Alexa Skills Kit (ASK): the main framework for building custom skills (applications) for Alexa. It allows developers to build interfaces for Alexa capabilities.
- Alexa Voice Service (AVS): used to integrate Alexa directly into other hardware, like speakers or even cars.
- AWS Lambda: often used as the backend for Alexa skills. It allows you to run your code without provisioning or managing servers.
- Amazon S3: often used to host static files like audio clips or images that an Alexa skill might use.
- DynamoDB: Amazon’s NoSQL database, often used for maintaining state between sessions of an Alexa skill.
- Actions on Google: the main platform for building actions (applications) for Google Assistant.
- Dialogflow: a natural language understanding platform owned by Google. It’s often used to design and integrate conversational user interfaces into mobile apps, web applications, devices, bots, and more.
- Google Cloud Functions: a service for running code in response to events, like a user activating a Google Assistant action, without having to manage the underlying infrastructure.
- Firebase Firestore: Google’s NoSQL database is commonly used for maintaining state between sessions of a Google Assistant action.
- Google Cloud Storage: often used to host static files like audio clips or images that an action might use.
Customized AI solutions
We harness a variety of cutting-edge technologies to develop advanced AI solutions tailored to your unique business requirements. Our team of experts, skilled in a multitude of programming languages including Python, R, Java, and C++, employs their deep technical knowledge to deliver solutions that are both efficient and effective.
We work with industry-leading frameworks such as TensorFlow and PyTorch for building and training neural networks, and use Keras for high-level neural networks API. When it comes to data analysis and machine learning, we turn to powerful libraries like Scikit-learn, Pandas, NumPy, and Matplotlib.
Depending on the specific needs of your AI solution, we utilize AI platforms like Google Cloud AI, Microsoft Azure AI, and IBM Watson to provide robust and scalable AI services. For those seeking automated machine learning solutions, we leverage state-of-the-art AutoML platforms such as Google’s AutoML, H2O’s AutoML, and DataRobot.
To handle data storage and processing, we’re proficient in both SQL and NoSQL databases, and for handling large datasets, we employ technologies like Apache Hadoop and Apache Spark.
Our objective is to create AI solutions that not only integrate seamlessly with your existing systems but also drive meaningful results for your business. Our holistic approach ensures that we leverage the best technologies to provide you with a robust, high-performing, and innovative AI solution.
VR and AR apps
Virtual Reality (VR) and Augmented Reality (AR) technologies have experienced significant growth in recent years, driven by advancements in hardware, software, and programming techniques. As a forward-thinking company, we recognize the immense potential of these transformative technologies and the value they can bring to our customers’ businesses. We provide solution for Apple Vision Pro, Oculus Quest , HTC Vive, PlayStation VR, Valve Index , Microsoft HoloLens and various smartphone-based AR platforms.
SDK AND FRAMEWORKS
- Unity 3D: One of the most popular game engines for building VR and AR experiences. It primarily uses C#.
- Unreal Engine: A powerful game development engine known for its high-fidelity graphics. It uses C++ and Blueprint, a visual scripting language.
- ARCore: Google’s platform for building AR experiences for Android. It supports Java, C, and C++.
- ARKit: Apple’s platform for building AR experiences for iOS. It supports Swift and Objective-C.
- Vuforia: An AR software development kit that provides advanced computer vision and can recognize and track a broad range of objects. It’s commonly used with Unity.
- C#: Used primarily with Unity for creating VR/AR applications.
- C++: Used with Unreal Engine and some native development SDKs.
- Java: Used with Android-based AR development (ARCore).
- Swift/Objective-C: Used for iOS-based AR development (ARKit).