Trusted Data Is the Foundation of Every AI Decision.
Every AI decision is only as trustworthy as the data behind it. Data Governance makes sure that data is clean, classified, and accountable before your AI ever touches it.
Four Capabilities. One Trusted Data Foundation.
Data Catalog
Know every data asset in your enterprise, who owns it, and what it contains.
ExploreData Profiling
Examine structural, contextual, and quality statistics before AI ever touches the data.
ExploreData Quality
Quality issues are caught and blocked before your AI ever touches the data.
ExploreData Lineage
Trace every data point from origin to the AI models and decisions it influenced.
ExploreData Catalog
If You Can't Find It, You Can't Trust It.
Know every data asset in your enterprise, who owns it, what it contains, and exactly which AI is using it.
One view of every data asset and the AI that consumes it.
Searchable in plain English. Across every cloud, warehouse, and pipeline.
Instant impact analysis when data changes.
Know exactly which models, agents, and decisions are affected, before changes propagate.
Sensitive data, classified and locked down by default.
PII, PHI, and confidential data identified, with access enforced automatically.
| Asset | Owner | Classification | Quality |
|---|---|---|---|
| customer_transactions | Finance Data | PII | 96% |
| patient_records_2026 | Clinical Ops | PHI | 91% |
| product_catalog_eu | Commerce | Public | 88% |
| claims_history | Risk & Claims | Confidential | 74% |
| lending_decisions | Credit | Confidential | 58% |
Data Profiling
Bad Data Doesn't Announce Itself. Until Your AI Acts on It.
Every dataset profiled, validated, and flagged for anomalies before it ever reaches a model, so structural drift never becomes a business decision.
Catch what changed before it changes a decision.
Surface row counts, null rates, distributions, and unique values automatically at the column level.
Schema drift stopped at ingestion.
Validate structures, constraints, and custom formats at ingestion to catch drift before it spreads.
Anomalies surfaced before fine-tuning, not after.
Baseline every dataset and flag anomalies before they enter fine-tuning or RAG pipelines.
Data Quality
Your AI Is Only as Good as the Data You Feed It.
Quality issues are caught and blocked before your AI ever touches the data.
Bad data is blocked before AI touches it.
Quality scored continuously across every dimension, with enforcement at the intake layer.
Quality issues, traced to their source in minutes.
Drill into the exact column, record, or pipeline stage causing the problem.
Every dataset shows whether it's ready for AI.
A red or green signal per asset, updated continuously.
Data Lineage
When the Auditor Asks Where That Number Came From, You'll Have an Answer.
Every data point traceable from source system to AI decision, in real time, with zero gaps across your entire cloud stack.
Trace any data point to any decision.
Follow any single data point to its final business outcome with zero gaps.
Know what breaks before it breaks.
When a source dataset changes, instantly map out and highlight every single downstream asset, model variant, and decision node that will be affected.
Article 12 evidence, generated automatically.
Generate audit-ready, point-in-time lineage graphs that let you reconstruct how a historical decision was evaluated to satisfy EU AI Act Article 12.
A 95% quality score was fine for a dashboard. For an AI making thousands of decisions a day, it isn't.
Data Governance enforces AI-grade standards at the intake layer before a single decision is made.