//Artificial Intelligence (AI)

Build and run AI agents on distributed architecture

Build AI agents on Azion’s distributed infrastructure that automate multi-step workflows, collapse days of manual effort into minutes, and free teams for higher-value work—boosting productivity across operations.

Task-Specific AI Agents

Deploy specialized AI agents for tasks like log analysis, content takedowns, and automated rule creation—enabling precise automation tailored to your business needs.

Real-Time Decision Making

Use AI Inference on Azion’s distributed infrastructure to let AI Agents make real-time decisions, process contextual data locally, and react to dynamic conditions with low latency.

Proprietary Data Integration

Powered by Functions and AI Inference, AI Agents use the Model Context Protocol (MCP) to query enterprise systems and SQL Database with vector search, enabling intelligent data retrieval and contextual decision-making across distributed environments.

Build Copilot experiences with a natively distributed AI architecture

Architecture of the Copilot assistant based on a ReAct agent

Implementation guides and references

New to Azion Web Platform? Start here

This documentation will guide you through your first steps with Azion.

Vector Search for AI workloads

See how to use SQL Database for efficient storage and retrieval of embeddings, enabling semantic search and recommendation systems.

LangGraph AI Agent Boilerplate

Understand how to deploy a LangGraph agent with app, backend, and SQL database for managing conversations and documents.

Run an MCP server on Azion

See how to run an MCP server on Azion to expose tools, resources, and prompts with low latency and scalable Functions.

How to deploy the AI Inference Starter Kit

See how to launch AI apps on Azion by deploying an OpenAI-compatible model with a ready-to-use function and domain.

//Scale with Confidence

Security and Compliance for High-Stakes Digital Experiences

AICPA SOC 2 Type 2 badge
SOC 2 Type 2 / SOC 3
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PCI DSS
GDPR
GDPR
//Complete, not complex

Primitives that Scale with You

//Build

Build once.
Run everywhere.

Get a faster path to launch, lower latency, and less infrastructure overhead.