Atlas is the knowledge model for industrial data - a knowledge graph that turns
tags, rows and topics from across your plant into a model people and agents can
actually reason about.
Model your domain
Define your own ontology: entity types, relationship types, properties, data types,
enums and functions - build your own schema
Portable config, so your model is yours to export and share as libraries
Start from the bundled industry specific library and domain examples
Instance model binds live and historical data from your sources
Version it like code
Every change is a git commit - branches, drafts, history and merge
Work on a branch, review, then promote to your production branch
Query it
Cypher over the compiled knowledge model
Live value streaming over WebSocket
Open REST API and a i3X APIs
MCP server, so AI agents can explore, reason, and co-create your model
Build it with help
Built in assistant with agents for designing ontologies, building instances and
writing graph queries, plus local voice input
Connect it
Ingress via timebase/connector: AVEVA PI System and Historian, Canary Labs,
OPC UA, SQL Server, Oracle, PostgreSQL, MySQL, HTTP, CESMII i3X, Timebase Historian, Flow Software InfoHub