Bad data, fixed. Not just flagged
AI agents that detect bad records, generate fixes, and apply them at source.
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Trusted by
From bad record to clean record. Automatically.
Specialized AI agents analyze the failed records, identify the failure pattern, and generate targeted fix recommendations. Data Steward's approval and rejection trains the agents. The loop runs continuously.
Agents for every failure type
Entity normalization, Semantic drift, Address formatting, etc. Each failure type gets a dedicated agent trained to recognize and remediate that specific class of problem.
Humans stay in control
Stewards see the failed record and the proposed fix. Approve, reject, or modify. AI does the work. Humans own the outcome.
Every decision trains the next one
Steward approvals and rejections feed back into the model. Agents develop a precise understanding of your organization's data standards over time. The review queue shrinks. Fix accuracy improves.
From bad record to clean record. Automatically.
Specialized AI agents analyze the failed records, identify the failure pattern, and generate targeted fix recommendations. Data Steward's approval and rejection trains the agents. The loop runs continuously.
Agents for every failure type
Entity normalization, Semantic drift, Address formatting, etc. Each failure type gets a dedicated agent trained to recognize and remediate that specific class of problem.
Humans stay in control
Stewards see the failed record and the proposed fix. Approve, reject, or modify. AI does the work. Humans own the outcome.
Every decision trains the next one
Steward approvals and rejections feed back into the model. Agents develop a precise understanding of your organization's data standards over time. The review queue shrinks. Fix accuracy improves.
From bad record to clean record. Automatically.
Specialized AI agents analyze the failed records, identify the failure pattern, and generate targeted fix recommendations. Data Steward's approval and rejection trains the agents. The loop runs continuously.
Agents for every failure type
Entity normalization, Semantic drift, Address formatting, etc. Each failure type gets a dedicated agent trained to recognize and remediate that specific class of problem.
Humans stay in control
Stewards see the failed record and the proposed fix. Approve, reject, or modify. AI does the work. Humans own the outcome.
Every decision trains the next one
Steward approvals and rejections feed back into the model. Agents develop a precise understanding of your organization's data standards over time. The review queue shrinks. Fix accuracy improves.
Faster detection to resolution workflows
Quickly trace issues to their root cause with full context from data contracts, anomalies, and historical runs.With every failed record automatically linked to its check and timestamp, teams can investigate, compare, and resolve issues faster.
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Missing
Duplicated
Invalid
Customer records
Sales records
Transactional records
Agents that know what "correct" means
Record-level resolution runs on top of data contracts. When a record violates a contract, the cleansing workflow triggers automatically — no manual configuration, no per-issue setup. Every fix is traceable back to the contract rule that triggered it. There's no ambiguity about what "correct" looks like. The contract already decided.
Security & governance you control
The Diagnostic Warehouse stores all diagnostic data, including failed records and check metadata, directly in your own data warehouse, never in Soda. This gives you full control over security, retention, and access, while ensuring compliance with your organization’s policies.Your existing access controls, encryption, and audit trails remain in place, keeping your data private, compliant, and fully governed.
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions
Trusted by the world’s leading enterprises
Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.
At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.
Sid Srivastava
Director of Data Governance, Quality and MLOps
Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.
Mario Konschake
Director of Product-Data Platform
Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.
Sutaraj Dutta
Data Engineering Manager
Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.
Gu Xie
Head of Data Engineering
4.4 of 5
Start trusting your data. Today.
Find, understand, and fix any data quality issue in seconds.
From table to record-level.
Trusted by
Solutions