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Turn every risky schema edit into a DataHub-grounded, reversible change passport.
Block risky schema changes with catalog-grounded evidence, compatibility code, and auditable DataHub writeback.
DataHub-aware canonical capability reuse routing for AI coding agents.
Right to erasure, proven across the graph with DataHub lineage.
Context-aware AI agents for collectible retailers: DealerIQ uses DataHub to turn launch demand, inventory, fraud signals, and lineage into auditable purchase-limit decisions.
Renovate for breaking data changes.
Context before action. Receipts before trust. A DataHub agent that fixes metadata only after scoped approval and exact live verification.
Know what your SQL change breaks — before you merge it.
Production-ML agent that watches your DataHub lineage graph, detects silent failures (stale data, schema drift, distribution shift), and writes incidents back so downstream agents inherit the context.
ADA compliance on autopilot: an AI agent reads your DataHub catalog via MCP, runs real PDF accessibility scans, and writes verdicts back — daily, with evidence, so people never re-check a file.
What if every hiring decision made your AI recruiters smarter? We built a DataHub-powered multi-agent recruitment platform where AI agents learn, collaborate, and improve every hire.
Turns DataHub's raw metadata into answers a new analyst can actually understand.
A natural language to SQL agent grounded in live DataHub metadata. Ask a question in plain English, get real SQL run against messy retail data, complete with data-quality context baked in.
A desktop coding harness for open-weight models (DeepSeek, Qwen, Kimi, MiniMax). Connects DataHub's MCP so agents read real schemas & lineage before generating code — every edit gated by your approval
LineagePatch turns DataHub metadata incidents into evidence-backed impact analysis and reviewable code patches, with human approval before write-back.
DataHub context becomes operational proof.
AI agent that investigates a real email corpus, flags the abnormal, and writes each finding back into DataHub as a walkable chain of custody — evidence, SQL, lineage, down to raw emails.
AI-powered educational platform for Ethiopian students. Complete textbooks, past exams, and personalized tutoring in Amharic & English. Offline-first for low-connectivity areas.
Stops silent data changes before they break production ML—using DataHub context to score blast radius, propose a constrained repair, validate it in dbt, and write the decision back.
Schema Guardian reads DataHub's real lineage graph via the MCP Server to catch what a schema change breaks — and generates the fix as a ready PR.
Test and repair risky dbt schema changes with DataHub
A Slack-native agent that turns DataHub context into prioritized, human-approved metadata remediation plans.
Catch silent ML failures before they cost you — an agent that traces DataHub lineage to flag production models an upstream change is about to quietly break.
From a broken dashboard to a verified repair: a DataHub-native incident agent that investigates, contains, fixes, tests, and hands off the exact evidence.
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