Autonomous Ontology
for Smarter Enterprise Decisions

Rapidly Join Data Ecosystems
with RootCause.ai's Autonomous Ontology

Bypass Manual Data Engineering

Identify when different datasets refer to the same customers, events, time periods, and locations. Automatically connect related data without complex pipelines or weeks of manual integration work.

Automated Data Preparation

RootCause.ai automatically cleans, standardises, and transforms raw enterprise data into RCA ready datasets. Reduce repetitive data preparation and accelerate time to insight.

Causal Inference Across All Your Data

Automatically combine data from multiple sources into a single comprehensive view for causal analysis. Discover true drivers of outcomes across your entire organisation.

Universal Connectivity

Connect to any Data Source

Snowflake
Databricks
Amazon S3
Azure Data Lake
BigQuery
PostgreSQL
Redshift
MySQL
MongoDB
And More

Disconnected Data Slows Decisions

Manual Integration Burden

In many enterprises, data is scattered across isolated silos including files, data lakes, and applications. This fragmentation forces data teams to manually join sources together just to run comprehensive analysis across the business. The result is weeks or even months of manual data engineering work.

Data hosting and integration

Connected Data Speeds Up Business Action

Connected Data for a Complete, Consistent View

Data monitoring and connectivity

RootCause.ai's industry first Autonomous Ontology automatically connects disparate data sources. It transforms data, identifies when different sources refer to the same things, and enables detailed causal inference across hundreds of datasets.

Ready to Build Your Unified Data Foundation?

See RootCause.ai in action. Book a demo to learn how we can help you get more from your data.