How Much Time Are You Losing?
Calculate your weekly time spent on:
That's 50-90% of your week on repetitive tasks
Core Workflows We Accelerate
Auto-Generate DBT Models with Tests
Describe what you want in natural language. Get production-ready DBT models with appropriate tests, documentation, and best practices baked in.
Document Tables as You Query
Every query you write contributes to living documentation. The AI learns from your usage patterns and keeps your catalog up to date automatically.
Run Warehouse-Wide Quality Audits
Scan your entire warehouse for quality issues in minutes. Get actionable reports on nulls, duplicates, schema drift, and more.
Build Transformations from Natural Language
Skip the SQL boilerplate. Describe the transformation you need and get optimized queries that follow your warehouse's best practices.
Real Time Savings
Creating a New DBT Model
- • Write SQL from scratch (45 min)
- • Add tests manually (20 min)
- • Write documentation (15 min)
- • Debug and refine (30 min)
Creating a New DBT Model
- • Describe what you need (3 min)
- • Review generated model (5 min)
- • Make tweaks if needed (7 min)
Warehouse Quality Audit
- • Write custom queries (2 hours)
- • Run across all tables (3 hours)
- • Compile results manually (1.5 hours)
- • Create report (1 hour)
Warehouse Quality Audit
- • Run automated audit (5 min)
- • Review AI-generated report (5 min)
Fits Into Your Existing Stack
Works seamlessly with the tools you already use
DBT
Generate models, tests, and docs that work with your existing DBT projects
Airflow / Dagster
Integrate with your orchestration layer for automated workflows
Any Warehouse
Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and more
We went from spending 60% of our time on maintenance to actually building new features. The AI handles all the tedious stuff while we focus on architecture and innovation.