
Stop data incidents before they hit production
Soda is a research-backed data quality platform that differentiates itself through peer-reviewed AI algorithms and a collaborative approach that unites technical and business stakeholders. The platform focuses on proactive data quality management, catching issues at the source before they impact downstream systems and decisions.

Soda is an AI-native data quality platform designed to help organizations catch, explain, and resolve data quality issues before they impact production systems. Founded with a research-driven approach to artificial intelligence, the company has developed proprietary algorithms that have been published in prestigious academic venues including NeurIPS, JAIR, and ACML. Their platform bridges the gap between technical and business users by offering dual interfaces—code-based workflows for engineers via Git integration and collaborative visual interfaces for business stakeholders. The platform offers comprehensive data quality capabilities including data observability, collaborative data contracts, smart alerting, record-level diagnostics, and automated resolution workflows. Soda's AI-powered approach enables metrics monitoring that claims 70% fewer false positives compared to alternatives like Facebook Prophet, with the ability to scale to billions of rows in seconds. The company emphasizes security by design, keeping customer data within their own cloud environments while providing complete traceability and auditability for compliance requirements. Soda serves leading enterprises across industries, helping data teams operationalize data governance, perform pipeline testing, support data mesh architectures, and achieve regulatory compliance including BCBS 239. The platform integrates with popular data infrastructure tools and warehouses, enabling organizations to implement data quality workflows without disrupting existing technology stacks.