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Maia Docs

Maia is the AI data automation platform.

Level up your product knowledge with our how-to guides, reference material, API docs, and tutorials.

Build with Maia

Use natural language to build, configure, and run data pipelines with your agentic AI data team.

Build pipelines

Describe your data objective and Maia builds the pipeline—orchestration, transformation, and execution, all from the chat interface.

Use SKILL.MD files

Create reusable instruction sets that Maia activates when relevant, so you define your standards once and apply them everywhere.

Define rules in context files

Embed business rules, naming conventions, and project context so every Maia interaction applies your standards automatically.

Create custom connectors

Point Maia at any API documentation page and it generates a working custom connector, handling authentication automatically.

Connectors

Load data from your most important sources directly into your cloud data platform.

Salesforce

Load Salesforce data into Snowflake—tables created and managed automatically.

Kafka

Stream data from Kafka topics into Snowflake, Databricks, or Amazon Redshift as JSON or schema objects.

Anaplan

Query the Anaplan Bulk API and land your export data into your preferred cloud data platform.

Workday

Load HR and workforce data from Workday into Snowflake, with full and incremental loading support.

Transformation components

Shape, clean, and prepare your data with drag-and-drop transformation components.

Aggregate

Group and summarize rows into a single output—totals, averages, min/max—without writing SQL.

Calculator

Add calculated columns using expressions, from simple arithmetic to complex business logic.

Detect Changes

Compare two datasets and tag each row as inserted, deleted, changed, or unchanged.

Pivot

Turn rows into columns to restructure and aggregate your data across categories—equivalent to SQL PIVOT.

API

Automate and integrate with Maia programmatically using the REST API.

Create a new project

Provision a complete, functional project using modular API endpoints—no manual setup required.

Create a schedule

Automate pipeline execution by scheduling artifacts with flexible version targeting.

Execute a published pipeline

Execute, monitor, and terminate published pipelines via the API.

Review pipeline quality

Programmatically validate pipelines against your configured quality rules.

Learn from our YouTube channel

Watch tutorials, walkthroughs, and best practice guides to level up your Maia usage.