Most AI tools hitting Google BigQuery in 2026 help engineers write SQL faster. Matillion is taking the opposite approach. The Manchester-based unicorn announced general availability of its AI Data Automation platform on BigQuery today, joining Snowflake, Databricks, and Amazon Redshift as supported execution targets.
Maia Foundation doesn't speed up the person writing queries. It automates pipeline construction and governance, the work that accounts for most delivery time in enterprise data projects. Engineers review and approve output rather than authoring from scratch.
The platform operates in three layers: Maia Team uses autonomous AI agents that take business intent and source structure to generate orchestration and transformation logic; the Context Engine tracks schemas, lineage, and governance rules, adjusting as the environment changes; and Foundation executes results inside BigQuery. When a source column is renamed, the platform detects the change, rebinds downstream transforms, regenerates lineage, and commits the update for approval.
"Maia is now available for Google BigQuery, bringing the power of AI Data Automation to the Google Cloud ecosystem," Mark Johnston, chief marketing officer at Matillion, said in the announcement. "We're seeing massive shifts in productivity for enterprise data teams moving manual work to automated for up to 80-90% of work."
Existing ETL for BigQuery customers can migrate through a guided process that starts with a diagnostic of their current deployment. Matillion has been the ETL/ELT layer for BigQuery in production for years, meaning the company enters as an extension of existing practice rather than as a new vendor.
Customers can deploy Maia Foundation as a hybrid agent in their own environment or as a full SaaS service via Matillion Hub. The platform is used by organizations including EDF, St. James's Place, and Nature's Touch.
