Microsoft vs Yandex

Integrated development environment for building conversational bots, integrating with Microsoft Copilot Studio for low-code bot building.

AI assistant embedded in Word, Excel, PowerPoint, Outlook and Teams that grounds its answers in a customer's own business data and ships with pre-built agents.

Microsoft's assistant for chat, search and work inside Windows and the Microsoft 365 apps.

Security-operations assistant that summarises threat signals and helps analysts detect, investigate and respond to incidents in natural language.

Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.

Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.

Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.

Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.

Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.

NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.

End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.

Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.

Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.

Real-time and batch text translation API supporting 100+ languages.

Image analysis, OCR, spatial analysis and face detection as an Azure API service.

Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.

Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.

Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.

Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.

AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.

Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.

Coding assistant and agent inside the editor, the CLI and GitHub itself.

Azure's platform for building, evaluating and deploying model-based applications and agents.

Yandex's consumer AI assistant and chat product, which answers questions with web search, analyses uploaded files, and generates text and images from Yandex's own generative models.

Speech-analytics service that transcribes and analyses voice and text customer conversations to surface topics, sentiment and service-quality metrics.

Speech recognition and speech synthesis API built on the technology behind the Alice assistant, used for voice assistants, call-centre automation and service-quality monitoring.

Neural machine translation API supporting more than 100 languages, sold as a Yandex Cloud service.

Computer-vision API that recognises and extracts text, tables, handwriting, document fields and licence plates from images and PDFs in 48 languages.

Yandex's AI coding assistant for VS Code and JetBrains IDEs, offering completion, chat, code review and an agent mode that carries out development tasks from natural-language instructions.

Yandex Cloud platform that serves Yandex's generative models (YandexGPT, YandexART, embeddings, classifiers) over an API, with fine-tuning, a model gallery and agent/assistant tooling.

End-to-end managed ML development environment with notebooks, distributed training jobs and one-click model deployment on elastically scaled CPU/GPU resources.