AutoWarehouse — DWH Automation
From source to insight, automatically. AI-powered discovery and source-to-target mapping, governed data modeling, and NL-to-SQL analytics — all running on your own infrastructure with zero data leaving your perimeter.
What does it solve?
Problem
Building a data warehouse takes months of manual discovery, modeling, and ETL development. Teams drown in spreadsheets, tribal knowledge, and fragile hand-coded pipelines that break at every schema change.
Approach
AutoWarehouse replaces the manual lifecycle with an AI agent engine that discovers sources, profiles schemas, maps columns to a governed DataModel, and generates deterministic ETL code — with human review at every step.
Business Value
Weeks instead of months to a production-ready DWH. Zero-hallucination code generation. Complete data sovereignty with self-hosted, air-gapped deployment.
When is it preferred?
- When building a new data warehouse from scratch across multiple source systems
- To accelerate DWH modernization without losing existing model investments
- For regulated industries requiring air-gapped, self-hosted deployment
- When you want to accelerate ETL development with AI-assisted automation
- To unify analytics across disparate ERP, CRM, and operational databases
Note: AutoWarehouse supports industry-ready DataModel templates (IFDM, ITDM, HRDM) and fully custom models.
Core Capabilities
AI Source Discovery
Multi-agent analysis of source systems: schema profiling, PII detection, entity relationships, and anomaly flags.
Governed DataModels
Model-first architecture with industry templates (Finance, Telecom, HR) or fully custom star-schema designs.
AI-Assisted ETL Generation
Accelerate pipeline development with AI-powered code generation for your target platform — plugin-based, versioned, and ready for production.
Database DNA Report
Comprehensive profiling: row counts, column distributions, anomaly detection, and table classification.
NL-to-SQL Analytics
Ask questions in plain language, get governed SQL and visualizations back — powered by local LLM.
Data Quality Engine
Null analysis, cardinality checks, completeness scoring, and quality gates before data reaches production.
Model-First Architecture
Discovery, mapping, ETL, reporting, and Talk-to-DWH all read and write one governed DataModel. An executive's answer and an engineer's pipeline are provably the same thing — no shadow logic, no definition drift.
One Model, Every Layer
From source discovery to business intelligence, every component operates on a single governed truth.
AutoWarehouse: Unified DataModel governing the entire data warehouse lifecycle.
Build Your Data Warehouse
Experience the full DWH lifecycle — from source selection to natural language queries.
Strategic Use Cases
Three paths to your data warehouse — from ready-made templates to full AI-driven builds.
Deploy an Industry Data Model
Your organization needs a data warehouse but has no existing model. Months of manual design and ETL development lie ahead.
AUTOWAREHOUSE APPROACH
- Select a battle-tested industry template (IFDM, ITDM, HRDM).
- Auto-provision Foundation, Analytical, and Semantic layers.
- Export production-ready Airflow DAGs and dbt models.
BUSINESS IMPACT
- Analytics-ready DWH deployed in weeks, not months.
- Pre-built star-schema with SCD Type 2 handling.
- Production ETL code on your own infrastructure.
Evolve Your DWH Without Starting Over
You have a partial warehouse or data model. New business requirements demand new subject areas without disrupting existing pipelines.
AUTOWAREHOUSE APPROACH
- Import existing model and overlay new requirements.
- AI suggests column mappings while preserving existing ones.
- Model versioning with full rollback safety.
BUSINESS IMPACT
- Surgical model extensions without pipeline disruption.
- Source-to-target visibility across the entire warehouse.
- Incremental dbt models slotting into existing pipelines.
AI-Driven Discovery to Production DWH
Complex source landscape with no existing model. Multiple ERPs, databases, and APIs need to be unified into a governed analytics platform.
AUTOWAREHOUSE APPROACH
- Connect to all sources and generate Database DNA reports.
- AI-generated database dictionary with human review.
- Design custom target model, map all tables, export ETL code.
BUSINESS IMPACT
- Full traceability from source discovery to production deployment.
- 2,400+ tables profiled and classified automatically.
- Human-in-the-loop approval at every critical step.
Operational Model
Discover
AI agents analyze source systems — profiling schemas, detecting PII, mapping entities and relationships.
Model
Select an industry DataModel template or design a custom star-schema with governed dimensions and facts.
Map & Generate
AI-assisted column mapping with human approval. Deterministic ETL code generation for your target platform.
Deploy & Query
Load your warehouse, generate reports, and ask questions in natural language — all governed by one DataModel.
Enterprise Ready
AutoWarehouse is built for mission-critical, regulated environments:
- Self-hosted, air-gapped deployment — no data leaves your perimeter
- Local LLM support: Ollama, vLLM, LiteLLM — no cloud AI dependency
- KVKK, GDPR, PCI-DSS, and SOC 2 aligned with full audit trails
- Container-native: Docker Compose and Kubernetes with Helm charts
- RBAC with 30+ granular permissions and OIDC-first authentication
Ready to Transform Your Data?
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