Bigeye
UnclaimedThe Enterprise AI Trust Platform for responsible data and AI initiatives.
Visit WebsiteReviews onG2
22 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Significantly reduces data errors and outages
Biggest con
No explicit pricing information available without a demo request
TL;DR - Bigeye
- Ensures data quality and reliability for AI initiatives.
- Discovers and classifies sensitive data to reduce regulatory risk.
- Provides end-to-end data lineage and observability for proactive issue resolution.
Pricing: Paid only
Best for: Enterprises & pros
4.1/5 across review platforms
What is Bigeye?
Bigeye is an Enterprise AI Trust Platform built on lineage-enabled data observability technology. It helps organizations improve data quality, identify sensitive data, meet data risk and policy requirements, and confidently scale AI initiatives. The platform provides tools for continuous data monitoring, anomaly detection, and comprehensive lineage tracking to ensure data reliability and integrity across diverse data ecosystems.
Bigeye is designed for data and AI teams, privacy, security, and legal teams within large enterprises. It addresses challenges such as inconsistent data quality, difficulty enforcing data governance policies, and the need to reduce financial, compliance, and reputational risks associated with compromised data. By offering real-time alerts, impact analysis, and automated sensitive data discovery, Bigeye empowers users to proactively manage data health and build trust in their data and AI projects.
The platform offers modular components like Metadata Management, Data Lineage, Data Observability, Data Sensitivity, Data Governance, and AI Guardian. These modules allow for customization to meet specific enterprise data and AI use cases, from monitoring data pipelines and managing data sensitivity to applying runtime enforcement of AI policies.
Available on: Web
Pros & Cons
Pros
- Significantly reduces data errors and outages
- Accelerates data and AI initiatives by building stakeholder trust
- Helps meet emerging AI regulatory requirements (e.g., EU AI Act, ISO 42001)
- Provides comprehensive visibility and transparency across data ecosystems
- Automates data quality checks, reducing manual effort
Cons
- No explicit pricing information available without a demo request
- Primarily targets large enterprises, potentially less suitable for smaller organizations
- Requires integration with existing data stacks, which might involve setup time
Ratings Across the Web
4.1(22 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Lineage-enabled data observabilityAutomated sensitive data discovery (PII, PHI, PCI)Metadata Management (cataloging, tags, owners, data domains)End-to-end data lineage for modern and legacy data stacksAnomaly detection and data monitoringData Sensitivity scanning and classification (structured and unstructured)Data Governance (certification, stewardship, business glossary)AI Guardian (runtime enforcement of data access policies)
Pricing Plans
Pricing checked Jun 1, 2026
Enterprise AI Trust Platform
Contact us
- Enhance enterprise data quality
- Discover sensitive data, everywhere it lives
- Build stakeholder trust for data and AI projects
- Reduce financial, compliance, and reputational risks
- Metadata Management
- Data Lineage
- Data Observability
- Data Sensitivity
Reviews
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4.1/5
Across 22 verified user reviews on G2
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Bigeye FAQ
How does Bigeye help organizations manage data quality for AI initiatives?
Bigeye improves data quality by offering continuous data monitoring, anomaly detection, and comprehensive lineage tracking. This ensures data reliability and integrity, which is crucial for confidently scaling AI initiatives and reducing data errors and outages.
Which teams within an enterprise would benefit most from using Bigeye?
Bigeye is designed for data and AI teams, as well as privacy, security, and legal teams within large enterprises. It helps these teams address challenges like inconsistent data quality, data governance enforcement, and managing risks associated with compromised data.
How does Bigeye compare to Monte Carlo in its approach to data observability?
Bigeye is an Enterprise AI Trust Platform built on lineage-enabled data observability technology, offering modular components like Metadata Management and AI Guardian. It provides comprehensive visibility and transparency across data ecosystems, helping meet emerging AI regulatory requirements.
What kind of limitations should potential users consider before adopting Bigeye?
Bigeye primarily targets large enterprises, which might make it less suitable for smaller organizations. Additionally, it requires integration with existing data stacks, which could involve a setup period.
How is Bigeye priced?
Bigeye is a paid product and does not include a permanently free tier. Specific pricing information is available upon request for a demo.
Can Bigeye assist with compliance for new AI regulations?
Yes, Bigeye helps organizations meet emerging AI regulatory requirements, such as the EU AI Act and ISO 42001. It provides tools for identifying sensitive data, enforcing data governance policies, and applying runtime enforcement of AI policies.
Does Bigeye offer capabilities for discovering sensitive data?
Yes, Bigeye includes automated sensitive data discovery as part of its platform. This feature helps organizations identify sensitive data and meet data risk and policy requirements.
Source: bigeye.com