3. Data, Science & AI

Provides .NET SDK for Azure AI model inference, including chat completions and embeddings via Azure AI Foundry and Machine Learning Studio.

Provides TypeScript utilities for Azure Cosmos DB data operations including document CRUD, queries, and bulk management.

Builds real-time voice AI applications for voice assistants and conversational AI using Azure AI Voice Live SDK for .NET with bidirectional WebSocket.

Enables document analysis using Azure Document Intelligence SDK for Java, extracting text, tables, and key-value pairs from invoices, receipts, and documents.

Builds univariate/multivariate anomaly detection applications using Azure AI Anomaly Detector SDK for Java, enabling time-series monitoring and AI-powered analysis.

Builds AI agents in TypeScript using Azure AI Agents SDK with tools for code execution, file search, and function calling, managing threads and streaming responses.

Enables vector search, hybrid search, and semantic search using Azure AI Search SDK for Python applications.

Provides a .NET SDK for managing Azure AI Foundry projects, including agents, datasets, deployments, and evaluations.

Builds persistent AI agents on Azure using Microsoft's Agent Framework SDK with hosted tools, conversation management, and streaming responses for LLM workflows.

AI-powered content safety checks for text and images, classifying harmful content severity via Azure AI Content Safety SDK.

Provides Java SDK integration for Azure AI Foundry model inference, including chat completions and embeddings.

Java SDK for building AI agents with Azure AI Foundry, integrating OpenAI and other model providers for agent capabilities and conversations.

Provides a .NET SDK for managing Arize AI observability resources on Azure and integrating ML model monitoring into .NET applications.

Provides Azure AI Vision Image Analysis capabilities including object detection, OCR, and image captioning via the Python SDK for computer vision tasks.

Builds real-time voice AI applications with Azure AI Voice Live SDK, supporting bidirectional audio, speech translation, and voice-driven avatars via Python.

Builds AI applications using Azure AI Projects SDK for TypeScript, handling agents, deployments, datasets, and OpenAI integrations.

Provides real-time bidirectional voice conversation capabilities with AI assistants via Azure AI VoiceLive SDK for Java using WebSocket.

Provides Python SDK for Azure AI Foundry endpoints to perform chat completions, embeddings, and model inference.

Guides creation of Model Context Protocol (MCP) servers for integrating external APIs with LLMs, supporting Python, Node, and C#.

Manages an AI-driven iterative loop for task completion, enabling step-by-step refinement and improvement.

Optimizes LLM context usage by suggesting strategic compaction points and saving state for recovery during model interactions.

Core decision layer for routing user intents to appropriate AI agents using natural language understanding.

Manages data persistence and retrieval through file system operations, ensuring reliable data storage and integrity without in-memory dependencies.

Provides data persistence through file system as exclusive storage layer, ensuring data integrity and reliability.