The AI-native, fully automated data quality platform. From detection to resolution.

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slowing innovation.

Soda fixes this with the only end-to-end data quality platform that automates the entire workflow — from detection to resolution — with AI built for data quality.

We meet users where they are:
- Engineers manage everything as code in Git.
- Business users create and review data contracts in a collaborative interface.
- Together, they work in a shared, AI-powered workflow to define quality expectations, monitor metrics, and isolate and remediate bad data directly in their environment.

By uniting teams, automating with AI, and securing trust at the source, Soda helps organizations like Disney, Nubank, and HelloFresh restore confidence in their data and decisions.

Why Soda?

• Best AI for Data Quality — purpose-built, faster, and more accurate, with 70% fewer false positives than traditional monitoring.
• Unite Business and Engineering — collaborative data contracts that bridge governance and technical workflows.
• Securely Isolate and Fix Bad Data — record-level anomaly detection and remediation inside your own environment.

Soda brings width and depth to data quality — from every dataset across multiple warehouses to every individual record in a dataset.

Join us in building a world where teams trust their data, decisions, and AI.

data quality, data management, data science, data engineering, data monitoring, data observability, data testing, data reliability, data product management, data analytics, data products, data mesh, data, and data pipeline management