Refactoring: Data Deployment Testing
Unlock confident, explainable AI deployments
CargoAI Refactoring!
AI-First: Designed for the unique challenges of AI/ML data pipelines.
Business-Ready: Protects your downstream analytics, reporting, and AI models from silent data failures.
Fast Feedback: Get Accelerated results so you can ship with confidence.
Spot schema drift, data quality issues, and unexpected changes before they impact production.
Side-by-side diffing of old vs. new data outputs—see exactly what’s changing and why.
Integrate with CI/CD to run comprehensive data tests on every deployment, not just the big ones.
How It Works
Refactoring automatically snapshots your current production data and schema.
Compare new outputs to your baseline—highlighting row, column, and aggregate differences.
Get actionable alerts for anomalies or regressions. Approve or roll back with a click.
Every deployment is logged, diffed, and auditable—trace every change, every time.
Built for AI, Built for Scale
Cloud-Native: Works seamlessly across AWS, GCP, Azure, and hybrid environments.
Plug & Play: Integrates with your favorite data warehouses, ETL tools, and MLOps stacks.
Zero Overhead: No manual test writing—Refactoring auto-generates tests based on your data and models.
AI Refactoring
Augment your codebase without compromising stability or performance.
AI-powered Refactoring engines Used to detect unintended logic shifts, automates test coverage, and validates output across pipelines.
Gain Insights by: Integrating with dbt, Airflow, or any git repository.