Soda Logo
Our automated data quality platform unifies business and engineering teams to detect, monitor, and resolve data issues from table to record-level.

About Soda

We develop a data quality platform that automates tasks from detecting issues to resolving them. Our platform helps teams implement data governance and quality practices, addressing challenges like manual rule enforcement for business teams and pipeline problems for engineers. We use AI to define quality expectations, monitor metrics, and fix bad data directly in your environment.

We offer collaborative data contracts where engineers manage expectations as code in Git, and business users create and review them in a shared interface. This shared workflow helps unite teams. Our AI for data quality reduces false positives by 70% compared to traditional monitoring. It also includes record-level anomaly detection and automated remediation tools. The platform provides data observability, letting you monitor thousands of tables with interactive visualizations and smart thresholds. We also include built-in tools for backfilling and backtesting historical data.

We help organizations restore confidence in their data and decisions by uniting teams, automating with AI, and securing trust at the source. Companies like Disney, Nubank, and HelloFresh use our platform. We specialize in data quality, management, science, engineering, monitoring, observability, testing, reliability, product management, analytics, and data mesh. We operate in the software development industry.

Mission & Values

Our mission is to build a world where teams trust their data, decisions, and AI.

Team & Culture

We are a company of 11-50 employees.

Frequently Asked Questions

What products or services does the company offer?

Soda offers an AI-native, end-to-end data quality platform. This platform automates the workflow for data quality, including detection, monitoring, and resolution of issues. It provides features such as collaborative data contracts, record-level anomaly detection, metrics monitoring, AI automations for generating checks and contracts, and data observability tools. The platform is designed to isolate and fix bad data directly within a customer’s environment.

What is the company's approach to data quality with AI?

Soda’s approach to data quality is AI-native, meaning AI is built into the core of its platform. Its proprietary algorithms are designed for speed and accuracy, achieving 70% fewer false positives than traditional monitoring and scaling to 1 billion rows in 64 seconds for metrics monitoring. The AI is used for automated anomaly detection across table, metadata, and record levels, and an AI Copilot assists in generating and refining data contracts and checks from plain English. The AI research conducted by Soda has been published in peer-reviewed journals and conferences such as NeurIPs, JAIR, and ACML.

How does Soda facilitate collaboration between business and engineering teams?

Soda facilitates collaboration between business and engineering teams through a shared, AI-powered workflow and collaborative data contracts. Engineers can manage everything as code in Git, while business users can create and review data contracts within a collaborative user interface. This approach allows both teams to define quality expectations, monitor metrics, and work together on data quality, with every change being versioned and proposals/diffs available in either view.

How does Soda handle data remediation and security?

Soda helps isolate, manage, and fix bad data directly at the source within the user’s environment. Failed records, whether identified by data contracts or anomaly detection, are automatically stored in the user’s data warehouse of choice. The platform offers complete traceability with every log and anomaly captured for transparent auditing. Data security is maintained as data remains within the user’s cloud, ensuring compliance and control. AI remediation to fix bad records in source systems is planned for future development.

When was Soda founded?

Soda was founded in 2018.

What industries and sectors does Soda specialize in?

Soda is active in the 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 markets.

How many people work at Soda?

Soda has 11-50 employees.

Where does Soda hire?

Soda hires globally with a remote-first approach, allowing employees to work from anywhere.

Is Soda hiring?

Soda is not actively hiring at the moment. Check back later for new opportunities.

Does Soda hire for remote and work from home roles?

Yes, Soda is a remote-first company.

What is Soda's website?

Soda's website is soda.io .

Where to find Soda on social media?

You can find Soda on X (Twitter) and LinkedIn .

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