Maia

# Reduce manual data work. Deliver governed data for AI and analytics at scale

Maia is an AI Data Automation platform from Matillion designed to remove the manual data work that slows AI and analytics delivery.

As AI and analytics demands grow, many Snowflake teams still rely on fragmented tooling and operational processes that slow delivery, increase maintenance overhead, and make it harder to scale production data delivery.

Organizations using Maia and Snowflake have reduced pipeline build times by up to 93% while improving delivery capacity and reducing operational overhead.

Maia securely connects to Snowflake through Matillion’s external application experience, helping organizations automate governed production data delivery while maintaining enterprise visibility, governance, and operational control.

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# What Maia does

Maia brings together agentic automation, operational context, and enterprise infrastructure to deliver governed data pipelines at scale.

## Maia Team

An always-on team of AI agents that autonomously build, modify, and maintain production data pipelines across the delivery lifecycle.

## Maia Foundation

The enterprise automation backbone that provides the governed, cloud-native infrastructure required to automate production data delivery at scale.

## Context Engine

Captures business rules, governance standards, and operational knowledge so automated outputs remain aligned, reusable, and trusted over time.

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# Maia and Snowflake Cortex Code

Cortex Code accelerates how you build. Maia handles what happens after — governing, maintaining, and scaling production pipelines over time.

Together, they close the gap between development speed and production reliability.

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# Enterprise-ready operations

Maia is designed for enterprise data environments where governance, operational visibility, and reliability matter.

Capabilities include:

- Git-compatible, production-ready pipeline output
- Integrated lineage and operational visibility
- Schema drift detection and remediation workflows
- Support for CI/CD and modern engineering practices
- Pushdown SQL architecture aligned to Snowflake environments
- Integration with Snowflake services and AI capabilities
- Enterprise security and compliance support

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# Real-world outcomes

Organizations use Maia and Snowflake to help constrained data teams scale AI and analytics delivery without increasing operational complexity at the same rate.

Examples include:

- Faster onboarding of new data sources and workflows
- Reduced manual maintenance effort
- Improved delivery capacity without proportional headcount growth
- Accelerated modernization of legacy data workflows

Customers including EDF, St. James’s Place, Edmund Optics, and Nature’s Touch use Maia and Snowflake to support analytics and AI initiatives at enterprise scale.