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. Larger organizations can run the whole platform on-prem instead.

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.