Our team of Microsoft-certified .NET developers expertly leverages the omni-platform capabilities of .NET and the well-maintained ecosystem of Microsoft developer tools to build specialized as well as multi-purpose solutions.
We make use of our extensive .NET development background to build cross-platform web, mobile, desktop, cloud and IoT apps. To increase their scalability and maintainability, we resort to microservices-based engineering. We also offer .NET tech consulting services that extend to the selection of an optimal combination of .NET tools and libraries.
We leverage the high integration capacity of .NET to provide barrier-free and secure communication between Microsoft solutions and third-party services and applications, enabled via custom message-oriented middleware and APIs. Our .NET development services cover code re-engineering for integrating legacy backend systems with newer solutions.
To enable cross-platform compatibility of enterprise solutions, our developers port them to and between .NET frameworks. We assess portability of the system, work around incompatible components, and refactor unportable elements. We also enhance existing .NET apps’ productivity by migrating them to a more modern environment, using cloud technologies and microservices.
Our developers choose .NET and its multi-purpose extensions when it comes to building apps that are configured for scalability and exceptional performance whether they target mobile platforms, connected ecosystems, cloud environments, or intelligent systems.
Itransition’s team develops cloud-based apps on major cloud platforms using .NET, as well as scales existing .NET apps by moving them to the cloud. We can pursue different cloud deployment scenarios, be it public, private or hybrid clouds. When needed, we opt for building .NET code into Docker containers, which facilitates cloud deployments.
Itransition makes use of Windows 10 IoT Core and IoT Enterprise for end-to-end IoT development. These include custom UWP apps optimized for connected devices and headed or headless device networks for industrial and commercial use. We leverage .NET resources to provide for secure information exchange between endpoints and enable complete visibility and user control over IoT assets.
Based on the cloud-hosted Azure IoT Hub backend, we build custom IoT architectures that allow for connecting millions of simultaneously connected devices and their management at scale. We set up two-way communication between the cloud and devices while ensuring security of device authentication. To build hybrid IoT apps, we use Azure IoT Edge.
With the help of this machine learning framework, we build and train bespoke ML models. Through specialized ML libraries, we can create tools for such advanced tasks as sentiment analysis, image recognition, contextual recommendations, object detection, and more.
Azure Machine Learning services allow us to build and train ML models and AI solutions with reduced bias. We extensively use Azure’s AI models pre-built for .NET to cover such advanced requests as sentiment detection, image and speech recognition, intelligent search, and more.
Our team uses .NET, distributed processing frameworks, and database management systems to develop scalable and high-performing big data solutions, which are able to process large streams of data in real time and contain interactive tools for data visualization.