Ship Trusted Data & Context Faster with AI Teammates

Analyzes technical metadata, usage, data quality issues, business impact, and governance policies to identify what matters most, helping your team focus on the highest-value work first.

Automatically organizes and enriches your data catalog by identifying missing metadata, descriptions, documentation, and business context. It intelligently reaches out to the right people for the right information, captures their tribal knowledge, and transforms it into trusted, searchable enterprise knowledge.

Discovers business terms across your enterprise, suggests definitions, identifies duplicates and conflicting terminology, and builds a trusted business glossary that everyone can understand.

Identifies the most appropriate business owners and data stewards using organizational structures, usage patterns, and domain expertise, then recommends assignments for approval.

Packages trusted datasets, documentation, quality metrics, policies, and business context into reusable data products that are ready for analytics, AI, and self-service consumption.

Evaluates data assets against governance, quality, lineage, documentation, and ownership standards, then recommends certification so users know which data they can trust.

Analyzes data profiles, existing data quality issues, schema patterns, and rule knowledge from data stewards to automatically recommend technical data quality rules that improve accuracy, consistency, completeness, compliance, and reliability.

Automatically identifies sensitive, regulated, and business-critical data by recognizing PII, PHI, financial, and custom categories, then applies classifications and governance policies.

Builds an enterprise ontology by discovering business concepts, mapping relationships, resolving synonyms, and connecting data into a rich semantic knowledge graph for AI and analytics.