AI-powered, model-first data warehouse automation. AutoWarehouse turns scattered sources into a governed, analytics-ready warehouse, without the hand-written extract-map-load boilerplate that usually sits between raw data and insight.
AutoWarehouse automates the full path from source to insight as one model-first pipeline:
- Connect — ingest databases, documents, and spreadsheets, with AI-assisted profiling and schema detection.
- Model — start from industry data models (HR, Telecom, Finance, and more) with Foundation, Analytical, and Semantic layers.
- Map — AI-assisted source-to-target mapping, with human review and approval gates.
- Execute — generated, auditable ETL with schema-aware loading and slowly-changing-dimension handling.
- Analyze — a semantic layer plus a natural-language interface to query the warehouse.
Most tooling starts from pipelines and lets the data model emerge by accident. AutoWarehouse starts from the model: the target schema is the contract, and everything upstream is generated and validated against it. The result is governed, consistent warehouses, less brittle glue code, and changes that are reviewable instead of archaeological.
- Data engineers who want to stop hand-writing the same extract-map-load code.
- Analytics teams that need a trustworthy semantic layer to build on.
- Platform and DevOps engineers who want repeatable, auditable deployments.
- Technical leaders who need governance and delivery speed at the same time.
- Product: https://autowarehouse.ai
- Built by Intellica: https://www.intellica.net
- LinkedIn: https://www.linkedin.com/company/autowarehouse
