Neuroanalyst
Creating formulas by text prompts, insights on dashboards, dashboards from text, custom charts in Editor.
Create
AI products
with Yandex Cloud
AI products
with Yandex Cloud
A unified environment for building, running, and scaling AI products. Leverage ready-to-use AI services, AI platform, and GPU infrastructure. Available as a cloud, hybrid, and on-premise solution.
Part of Yandex Cloud platform
Consumed monthly on Yandex AI Studio
Built with Yandex AI Studio
Flexible deployment scenarios
Deploy your AI services in a cloud, hybrid environment, or local infrastructure with Yandex Cloud Stackland and our on-premise services.
In-house models
and techs by Yandex
Access Alice AI LLM, Alice AI LLM Flash, Alice AI ART, and Speech Realtime through a single API.
Security and privacy
User data is not used for training models. Fully compliant with 152-FZ, ISO, PCI DSS, and GOST R 57580.
Feature map
From GPUs to ready-to-use assistants
Three tiers of AI implementation: Infrastructure for proprietary models, an AI platform with models and agents, and ready-to-use services with embedded features. Leverage just one tier or use multiple in a single project.
Tier 1
Infrastructure for building AI
Use it when you build AI products on your own and need GPUs, databases, orchestration, and monitoring options.
-
Full control over stack
-
Predictable costs
-
From a few GPUs to thousand-node clusters
Computing and network
Data
Observability and security
Tier 1Infrastructure for building AIUse it when building AI products on your own
Tier 2Platform to create AI appsUse it if you build an AI app from ready-to-use components
Tier 3Out-of-the-box AI solutionsUse them if you do not want to develop anything on your own
Success stories
Find a service that best fits your AI needs
TaskSpeed up agent training for a leading e-grocery company and optimize the relevant costs.
ResultPredictable costs and independence of the external inference.
+5%Higher CSI of the employees that used the simulator
40%Less time to train new agents
3xMore agents ready to start working
Yandex Cloud: AI on board
ML WAF
An ML module inside a web firewall blocks attacks the signature methods do not cover.
AI assistant
Faster onboarding for documentation review, along with step-by-step guidance for configuration setups and compliance with industry requirements and security standards.
Code Assistant
AI assistant in an IDE (VS Code, JetBrains): auto suggestion, generation, review, agent mode.
LLM Monitoring
Tracking the entire execution chain of AI agents: system prompts, input and output messages, tool calls with parameters and results, and key metrics such as model, execution time, and token counts.
Start testing our platform
with a start-up grant
Special terms for new users: up to $30 for individuals and up to $90 for businesses. Test our technology in action!
Manage Yandex Cloud through AI assistants
Run and manage Yandex Cloud services and infrastructure through a familiar chat in the Yandex Cloud console or directly in your IDE.
AI assistant in the Yandex Cloud console
An in-console AI assistant accepts tasks in a chat interface, gathers the required data (IDs, OS images, etc.), provides guidance based on Yandex Cloud help guides, and helps configure resources via MCP servers in Yandex Cloud.
MCP Hub in Yandex AI Studio
All you need for creating, managing, and monitoring MCP servers. MCP Hub allows you to connect to external MCP servers or build your own ones from scratch or using pre-configured templates.
MCP servers in SourceCraft Code Assistant for VS Code
Work with SourceCraft, manage your cloud infrastructure, enable search across your metadata, and leverage smart web search to efficiently solve your tasks directly from your preferred AI tool.
MCP servers in an external development environment
MCP servers provide up-to-date documentation and tools for AI-driven automation and infrastructure management in Yandex Cloud.
Get the ideal infrastructure
for your AI project
We will assist you in defining the architecture, system requirements, pricing, and deployment model. Let’s discuss your use case to find the best solution for you.
AI under control
Security tools
User data
is fully protected
We do not train models on your data, while you can also disable request and response logging. Manage encryption, access permissions, and action logs through Yandex Key Management Service, Yandex Identity and Access Management, and Audit Trails.
AI governance and control
Responsible AI
Configure filters and safety guards for LLMs, monitor agent execution, and integrate ML-driven traffic protection.
Hybrid and isolated environments
On-premises
Build a secure AI infrastructure within your own environment using private cloud connectivity.
