Gyre, an early-stage startup building a platform for streamers’ collaboration, needed a team of developers experienced in data processing, building web crawlers with Python and Spark, and working with social networks’ APIs. Our team helped Gyre build a team of senior developers and architects to design and launch their MVP. We designed and implemented a Youtube streaming crawler from end to end and developed storage and incremental data processing pipeline.

An ambitious startup in the field of healthcare and telemedicine, providing a multifunctional system for behavioral clinics of any size. The system includes integrated credit card processing, a patient portal, treatment planning, scheduling, online bill payment, and group therapy. Our team developed the front-end and back-end applications, improved their quality process, reducing the number of regression failures, and also solved the problem of a complete lack of testing automation.

A large company that has been offering innovative solutions in the field of web development, hosting, content management, and design, creating lessons, personalized training, and certification since 2009.
The RAFT team optimized the performance of the existing educational e-learning platform, implemented a mobile application for iOS/Android, developed a multifunctional web application, and successfully introduced new features to it.

Microsoft requested an automated way of tracking Azure-related KPIs and SLAs for meeting the monthly targets. KPIs were based on Azure logs and multiple other data sources. Before implementing the automation, all reporting was done manually. We created a data pipeline using C# and .NET that processed different data sources, including Azure operations logs, 10Tb of logs per day. Our team used distributed processing via DataStudio and Scope (internal Microsoft tools) to process this amount of data.