AIMO documentation

Technical guides for deploying the agent, connecting databases, and operating monitors in your environment. AIMO runs a Docker agent inside your network: it queries your databases locally and returns only aggregates and metadata — never bulk raw rows — while the cloud generates monitors and learns what "normal" looks like.

New here? Start with Getting started, or read What is data quality monitoring? for the concepts behind the product.

Guide

• Getting started — account, agent registration, credentials, analysis, and table onboarding
• Architecture — cloud, agent, and database boundaries; how work flows
• Security — identity, credentials, jobs, and what crosses the network
• Monitors — the closed set of monitor types, how AIMO assigns them, and how they compile into bounded queries
• Outlier detection — learned baselines and likelihood scores on monitor time series

Agent

• Registration — registration token vs supplying your own public key
• Agent CLI — register, agent, and connection commands
• Operations — the fixed set of job types that run on the agent

Concepts

• What is data quality monitoring? — the failure modes monitoring catches, common approaches, and how AIMO's AI-generated, privacy-preserving approach works
• Glossary — plain-language definitions of data quality and observability terms
• FAQ — short answers on raw-data privacy, AI-generated checks, supported databases, security, alerting, and pricing

See the product site for pricing and positioning.