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A camera feeds bad training data for three weeks, which robots learned from it? Recall walks DataHub lineage forward, stops exactly those machines and writes the recall into the catalog.
One capture, any app — Residence remembers so your tools don't have to.
Your coding agent can ship. Model Canary can say absolutely not.
DataSentinal is an AI-powered data governance platform that detects sensitive data, analyzes data quality, maps relationships, and delivers actionable insights for smarter, safer data management.
DataHub Guard uses DataHub GraphQL lineage to detect PII leaks, trace downstream pipeline blast radius, auto-generate dbt/PySpark PRs, and update catalog metadata.
Less Slack, more track. AI standups, summaries, blockers, and DataHub-backed answers that keep teams moving.
Trust the graph. Not the prompt.
A change is landing on a table. GreenLight turns DataHub catalog context into a release readiness map - blockers, signers, notifications, and ownership gaps - with every node traced to its aspect.
Running DataHub applications learn, validate, retain, and replay missing behavior—without a source edit, redeploy, or repeated agent call.
Catch context regressions before they break your AI agents—test DataHub metadata, lineage, semantics, retrieval, and agent behavior before changes reach production.
InternHub tailors your résumé to internships using your courses, projects, and experience, so every claim is relevant, credible, and backed by real evidence.
CMG catches silent AI failures in hospitals using DataHub's live data lineage to flag risky pipeline changes in real time, before a model quietly starts giving wrong answers, saving lives of millions.
DataPilot is an AI-powered data engineering platform that autonomously investigates pipeline failures, traces data lineage, and generates production-ready code fixes
Healthcare Sentinel is an AI agent that triages healthcare data quality like a clinician — discovers issues in DataHub, explains patient harm, remediates with approval, and learns across runs.
Prod-ML-Fort scans DataHub's ML lineage graph in real time, catching model drift, label leakage, orphaned models, duplicate features, and PII training data before they hit prod.
AI agent that reads DataHub before changing your data.
Context circuit-breaker for DataHub: audit, selective quarantine, fix artifacts, and MBOM (metadata bill of materials) attestation so agents inherit safer catalog knowledge.
Someone changes dollars to cents. The database says everything is fine, but the model breaks. Ahead catches it before release, finds the owner, and shows them the fix.
One molecule can appear as a parent compound or different form. Apollo solves a hidden chemistry problem: derivative records are easy to merge and hard to verify.
ATLAS is an autonomous engineering system that turns natural-language goals into enterprise-aware implementation workflows.
Is your catalog cleared for agent takeoff? Preflight scores every table, queues the fixes, andasks a human only what a human can know. Answer once, and the convention transfers everywhere.
Your catalog claims 513 connections. Nobody re-checks them. Probate does, per edge, with a date: 73 dead, 29 undeclared, and 145 it refuses to judge because it couldn't look.
Intercepts AI agent actions before execution, enriches them with DataHub metadata over MCP, and returns deterministic approve, deny or human review verdicts with an EU AI Act ready audit trail.
Find every consumer of contaminated data, contain the impacted area, execute a real recovery, and prove what recovered.
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