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Build data products without delay
Enjoy the freedom to do more with Maia on your side.
Meet Maia: Your
AI Data Automation Platform
Maia is the first AI Data Automation platform—an AI data team built on an enterprise-grade data foundation.
It autonomously turns data demand into governed, production-ready data products, rethinking manual data work entirely and enabling organizations to operate at AI speed.
It autonomously turns data demand into governed, production-ready data products, rethinking manual data work entirely and enabling organizations to operate at AI speed.
Maia Team
AI Agents
Automate jobs for data analysts, data engineers, QA, dataops, and operations.
Transform
Create SQL/Python transformation pipelines for cleansing and enrichment
Ingest
Generate REST API connectors and extraction pipelines from any source
Orchestrate
Automate multi-pipeline workflows with sequencing and dependencies
Maia Context Engine
Query metadata to discover pipeline assets, lineage, and dependencies
Data Model
Generate dimensional models and schema designs from requirements
Conversational interface
Ask Maia to build or fix pipelines in plain language
A2A and MCP
Orchestrate Agent2Agent workflows using MCP protocol integration
Auto documentation
Generate pipeline documentation and Git commit messages
Data quality
Build validation rules and data quality checks into pipelines
Maia Foundation
Connectors
Deploy 130+ prebuilt connectors or generate custom REST API connectors
Pipeline types
Deliver data through Batch, CDC or streaming pipelines
Low-code visual designer
Design pipelines visually with component-based orchestration
Pro-code
Integrate SQL scripts, Python pushdown, and dbt workflows
Pushdown architecture
Execute transformations in your warehouse natively
Operational visibility
Track pipeline execution, performance metrics, and data lineage
Git based Data ops
Enable Git versioning, branching, and CI/CD pipeline automation
Role based access control
Configure granular permissions for design, execution, and admin
Security
Maintain data residency with encryption, SOC 2, and compliance frameworks
Data Modeling
Generate dimensional models and schema definitions
AI Agents
Automate jobs for data analysts, data engineers, QA, dataops, and operations.
Transform
Describe your logic and Maia generates the transformation code
Ingest
Request data from any source and Maia builds the connection
Orchestrate
Tell Maia your workflow and it sequences pipeline execution
Maia IQ - Data Management Graph
Query your data landscape to discover assets and lineage
Data Model
Describe your schema and Maia designs the data model
Conversational interface
Ask Maia to build or fix pipelines in plain language
A2A and MCP
Connect Maia with other AI agents for cross-platform workflows
Auto documentation
Get instant pipeline docs and commit messages
Data quality
Ask Maia to validate data and enforce business rules
Connectors
Deploy 130+ prebuilt connectors or generate custom REST API connectors
Pipeline types
Deliver data through Batch, CDC or streaming pipelines
Low-code visual designer
Design pipelines visually with component-based orchestration
Pro-code
Integrate SQL scripts, Python pushdown, and dbt workflow.
Pushdown architecture
Execute transformations in your warehouse natively
Operational visibility
Track pipeline execution, performance metrics, and data lineage
Git based Data ops
Enable Git versioning, branching, and CI/CD pipeline automation
Role based access control
Configure granular permissions for design, execution, and admin
Security
Maintain data residency with encryption, SOC 2, and compliance frameworks
Data Modeling
Generate dimensional models and schema definitions
Our latest resources
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