Case study
KPI\SLAs compliance monitoring
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.
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Health platform for IRIDIUM
The client is a US-based independent continuing medical education company focused on delivering high-quality, innovative learning activities for healthcare providers. They wanted to build several interactive AI Avatars acting as real patients simulating doctor visit and follow-up, along with LLM-powered subsequent dialogue analysis
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AI-Powered Pilot Contract Analysis Platform
We built a smart AI chatbot based on a multi-agent architecture. The solution begins with Document Understanding and Structure Repair, using Gemini and OpenAI models with a sliding window technique to transform poorly-structured PDFs into clean, structured text with precise section coordinate mapping.
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AI-Powered Horse Racing Intelligence Platform
We delivered a comprehensive platform consisting of a custom CMS, a public-facing website, and a sophisticated multi-agent AI companion. The main challenge was creating a reliable, multi-step AI that could reason over diverse, real-time data sources to generate accurate and context-aware responses. The platform now successfully manages and syncs data for thousands of horses and races from all over the world.
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