Bigeye is an Enterprise AI Trust Platform designed to monitor data quality, manage governance, and enforce compliance policies across data pipelines and AI systems. The platform provides end-to-end visibility into data reliability, security, and compliance posture, enabling organizations to scale AI deployments responsibly.
Key Features
Data Observability & Monitoring
Real-time data quality monitoring with anomaly detection
Cost anomaly detection capabilities
Monitoring as Code for infrastructure-as-code approaches
Automated alerts and rule-based quality checks
Data Lineage & Metadata
End-to-end data lineage for modern and legacy data stacks
Column-level lineage tracking
Metadata management across enterprise environments
Integration with multiple data platforms
Data Governance & Compliance
Data sensitivity scanning and classification
GDPR compliance support
Audit logs for regulatory requirements
Enforceable governance policies
Data ownership and certification management
AI Trust & Enforcement
AI Guardian for monitoring and enforcing data access policies
Agent Trust Hub for discovering and deploying AI agents with confidence
Runtime enforcement of enterprise data access policies
Policy-based control over how AI agents access and use data
Advanced Capabilities
bigAI: AI-driven data quality analysis
bigAI Chat: Conversational interface for data insights
Root cause analysis for data issues
Developer tools and MCP Server support
Comprehensive API documentation
Use Cases
: Monitor data pipelines in real-time to detect anomalies and quality issues before they impact downstream systems
Data Quality Assurance
Compliance Management: Ensure GDPR and regulatory compliance through automated governance enforcement and audit trails
AI Agent Governance: Control data access for AI agents, ensuring they operate on approved, high-quality, and properly classified data
Data Lineage Tracking: Understand data flow across complex enterprise environments for impact analysis and troubleshooting
Cost Optimization: Detect unusual data processing costs and identify inefficiencies
Data Sensitivity Management: Classify and protect sensitive data across the organization
Root Cause Analysis: Quickly identify and resolve data issues affecting business operations
Pricing & Access
Bigeye operates on an Enterprise Quote model. Pricing is customized based on organizational needs and is available through direct contact with the sales team. Interested users can request a demo or take an interactive product tour to evaluate the platform.
Who Is It For?
By Role:
Data Engineers: Build reliable data pipelines with quality monitoring and governance
Data Analysts: Access trusted, high-quality data for analysis
Data Leaders: Oversee data governance and compliance across the organization
Data Architects: Design enterprise data systems with built-in lineage and governance
Data Governance Teams: Manage policies, classifications, and compliance requirements
Data Executives: Ensure responsible AI scaling and stakeholder trust
By Organization Type:
Enterprises with complex, multi-system data environments
Organizations subject to regulatory compliance requirements (GDPR, financial services regulations)
Companies deploying AI agents and requiring governance controls
Businesses managing sensitive data requiring classification and protection
Organizations seeking to improve data reliability and reduce operational issues
Key Features
Audit LogsColumn-level lineageComplianceData GovernanceData QualityDataTrustGDPRLineageQualityRoot cause analysis