Bigeye
UnclaimedThe Enterprise AI Trust Platform for responsible data and AI initiatives.
Visit WebsitePaidVisit Website
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
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
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
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
- Data Governance
- AI Guardian
About Bigeye
By Toolradar Team·
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.
Reviews
No reviews yet. Be the first to review Bigeye!
Best Bigeye Alternatives
Top alternatives based on features, pricing, and user needs.
Explore More
Bigeye FAQ
What is Bigeye?
Bigeye is an Enterprise AI Trust Platform that leverages data observability to improve data quality, identify sensitive data, and ensure compliance for AI initiatives. It provides tools for monitoring, lineage, governance, and sensitive data discovery to build trust in data and AI systems.
How much does Bigeye cost?
Specific pricing information for Bigeye is not publicly available on their website. Interested users are encouraged to request a demo to learn more about their pricing structure, which is likely tailored for enterprise solutions.
Is Bigeye free?
Bigeye does not offer a free tier. It is a paid enterprise solution. However, they do offer an interactive demo that allows users to experience the platform's features without requiring a sales representative.
Who is Bigeye for?
Bigeye is designed for large enterprises and their data teams, including data engineers, data analytics engineers, data scientists, and directors of engineering. It also caters to privacy, security, and legal teams involved in data governance and AI policy enforcement.
Source: bigeye.com