Catch and fix errors before they break
AI, reports, or operations.
Trusted by global leaders in Finance, Telecom,
Healthcare, and Supply Chain
Verizon Toyota Johnson Controls ABSA Bank
Legacy DQ 
Detect + Reconcile + Remediate
What Customers Are Saying About DataBuck
Charlie Schwartz
Director of Finance
LPR Media
First Eigen has helped us tremendously with our sales attribution. Their data solutions are precise and consistent, and the team is great to work with.
The confidence we have in First Eigen's data solutions has allowed us to focus on other areas of our business. We highly recommend First Eigen to any organization looking to elevate their data accuracy and performance.
Rakesh Singh
VP Lead Data Engineer
Absa Group
DataBuck has been instrumental in ensuring data quality on our Hadoop platform. Its automated profiling and validation features make it easy to identify issues quickly and maintain trust
in our data, and the user-friendly interface and flexible rule engine greatly accelerates data quality initiatives. I would highly recommend DataBuck for any organization looking to strengthen their data quality processes.
Justin B. LoVallo
Global Head of Solutions
Sensormatic Solutions | Johnson Controls
DataBuck by FirstEigen is a powerful, ML-driven data quality tool that not only automated complex validation tasks at scale but also integrated seamlessly with our GCP environment
, significantly improving data trust while reducing manual effort by 50%.
Bernard A Tucker
Director, Data Warehousing and BI
AbbVie
DataBuck's automated data quality validation capability was used to validate sales data of the US Commercial operations.
Its DQ rules recommendation engine can significantly reduce manual data validation efforts, improve issue detection, and enhance confidence in downstream analytics and reporting. DataBuck's scalability and improved transparency to data trust make it a valuable asset in any complex data environment.
Bad Data = Bad AI, Bad Analytics, and Bad Business
Legacy data quality software focuses on technical checks, not business context. Traditional data quality tools miss persistent errors that silently drain revenue and erode trust.
Data unfit for specific usecase
30-40% of enterprise data is not analytics-ready.
Late discovery
Errors surface downstream when it's costly to fix.
Rule debt
Manual rule creation can't keep up with change.
No remediation
Most tools flag issues—few can safely fix them.
The FirstEigen Difference
Legacy DQ tools focus on detecting data issues using generic technical data quality rules. DataBuck deploys AI agents tuned to your specific use cases, with built-in reconciliation and remediation. It eliminates errors at the source and delivers truly trusted data across all systems.
1 · Connect
Connect your sources
Advanced data validation for Databricks, Snowflake, GCP BigQuery, AWS, Oracle, Kafka, DBT, and more.
2 · Validate & Detect
Autonomous checks
AI-discovered business case specific rules, reconciliation, drift & anomaly detection, alerts.
Business rules go to the data, ensuring speed, security, and trust
3 · Remediate
Agentic fixes
Context aware research and remediation with human‑in‑the‑loop approval
Data Remediation →
Who We Serve
DataBuck empowers data leaders with AI agents tuned to your specific use
cases, delivering truly trusted data at enterprise scale.
Chief Data Officer (CDO) / Head of Data Management/Head of Analytics
Turn Data Into a Strategic Asset
Protect revenue and accelerate AI adoption by eliminating data errors at the source. DataBuck ensures
every decision is powered by reliable, AI- and analytics-ready data — trusted by Fortune 500 leaders.
Head of Data Operations
Prevent Business Disruptions Before They Happen
Prevent costly disruptions across finance, supply chain, and customer processes while embedding industry regulations and
corporate policies directly into data pipelines. DataBuck ensures operational stability, governance compliance, and business continuity.
Head of Data Quality
Fewer Errors. Less Firefighting. Built in Compliance Rules
AI Agents discover rules automatically, cut false positives, and remediate errors at the source while
ensuring regulatory compliance. DataBuck frees your team from manual checks so you can focus on driving business insights.
Customer Success
Customer Success Stories
See how enterprise data leaders achieve breakthrough results and massive ROI
with DataBuck
Challenge
Financial audit data validation taking too long for regulatory deadlines
DataBuck Solution
Monitor 800+ data assets in financial data warehouse with automated reconciliation
Results Achieved
Reduced financial reporting risk and validation time from 11 hours to 2 hours
$3.2M annually
Executive Testimonial
Director, IT Data Strategy
Fortune 50 Manufacturing
"DataBuck made our impossible audit timeline possible. We now validate financial data 5x faster with higher accuracy."
Challenge
Manual monitoring of 15,000+ data assets creating operational and regulatory risk
DataBuck Solution
Autonomous data quality validation with ML-powered rule discovery
Results Achieved
2x increase in data quality productivity with 50% cost reduction
$8.7M in project savings
Executive Testimonial
VP Technology, Enterprise Data Office
Top 3 US Bank
"What took my team of 10 Engineers 2 years to do, DataBuck could complete it in <8 hrs"
Challenge
Real-time monitoring of eligibility files from 250+ hospitals
DataBuck Solution
Autonomous healthcare data quality validation with real-time processing
Results Achieved
Accelerated data onboarding and prevented costly data cleanups
$5.1M revenue protection
Executive Testimonial
VP Enterprise Data
Healthcare Provider
"DataBuck transforms our data pipeline and prevents revenue-impacting data issues before they affect operations."
Join These Success Stories
Get your personalized ROI analysis and see how DataBuck can transform your enterprise data operations
Enterprise-Scale Technology
Thousands of tables. Billions of records. Trusted in seconds
DataBuck isn't just built for speed — it's built for scale. In production, the platform validates thousands of tables every hour, including some of the largest workloads ever seen: up to 17 billion records in a single hour and schemas with 650+ columns. For the majority of enterprise workloads, DataBuck completes validation in under 90 seconds, ensuring trusted data flows continuously across your business.
Enterprise-Ready Capabilities
Security
Enterprise-grade security with encryption at rest and in transit, SSO, RBAC, and audit trail
Support for On Prem and Cloud Sources
Connect to any data source—cloud platforms, on-premises databases, data lakes, and hybrid environments
Scalable performance
For the majority of enterprise workloads — under 100 million records and 100 rules — DataBuck completes validation in under 90 seconds
SaaS Option
Fully managed cloud service with automatic updates, scaling, and 24/7 monitoring—no infrastructure required
Integration with Enterprise Systems
Native integrations with data catalogs, metadata management, workflow orchestration, and governance tools
Alerting with Standard Tools
Real-time alerts through Jira, Slack, ServiceNow, PagerDuty, and email with customizable thresholds
Our Mission
To help enterprises eliminate costly data quality failures through autonomous agentic AI solutions that ensure data trust across cloud and on-premises environments.
Innovation
Pioneering agentic AI that learns and adapts to your data patterns
Innovation
Pioneering agentic AI that learns and adapts to your data patterns
Innovation
Pioneering agentic AI that learns and adapts to your data patterns
Stop Losing Millions to Data Errors
Join 500+ enterprise data leaders who trust DataBuck's AI agents, tuned to their specific use cases, to deliver truly trusted data across their operations.
15 Min
Setup Time
80%
Cost Reduction
11x
Faster Detection
No credit card required
30-day free trial
Enterprise security