Logo
Sign in

Enterprise-grade data quality management for clean, unified, and trusted business data.

Product details

Overview

Cribro is an enterprise-grade data quality management platform that profiles, cleanses, deduplicates, and governs customer and transactional data to create a single trusted source of truth across systems. It supports real-time and batch processing, integrates via APIs with core ERPs and CRMs, and applies AI-powered fuzzy matching and reconciliation to resolve complex duplicate and identity issues—helping organizations improve analytics accuracy, regulatory compliance, and customer 360 capabilities.

Features and Capabilities

  • Data Profiling & Assessment: Automated discovery and profiling of data quality issues across sources to identify completeness, consistency, and anomaly patterns.
  • Cleansing & Standardization: Rule-based and automated cleansing engines to standardize formats, normalize fields, and fix common data-entry errors.
  • Deduplication & Matching: AI-powered fuzzy matching and reconciliation to detect and merge duplicate customer and entity records across systems.
  • Master Data Governance: Tools and workflows for ongoing governance, stewardship, audit trails, and policy enforcement to maintain a single source of truth.
  • Real-time & Batch Processing: Flexible processing modes enabling both streaming (real-time) and bulk (batch) operations depending on integration needs.
  • API-ready Integration: Open APIs and connectors for ERP/CRM (examples cited by vendor: Oracle, Microsoft, SAP, Salesforce) and legacy systems for seamless data flow.
  • Scalable Architecture: Designed to handle millions of records and scale across domains for large enterprises and high-volume customers.
  • Regulatory & Reporting Support: Improves accuracy for regulatory submissions (e.g., AML or central bank reporting) by ensuring data completeness and traceability.
  • Business Value Outcomes: Strengthened decision-making, reduced duplication costs, improved analytics confidence, and better customer experiences via unified data.