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A lineage native pre-mortem agent for production ML which reads DataHub's causal graph backwards to find the models that are about to break, and writes the diagnosis back into DataHub.
Multi-agent incident response for DataHub. Detects failing assertions, walks the lineage blast radius, writes a structured incident back to the graph, and notifies owners in one Slack message.
A DataHub-powered agent that detects data quality failures, traces field-level downstream impact, and safely writes approval-gated BLOCK, ALLOW, or INCOMPLETE decisions back to DataHub.
See hidden consumers before a schema change ships, then generate a cited, backward-compatible migration plan instead of guessing from one repository.
An agent that reads real schema, lineage & governance tags from DataHub via MCP before generating dbt/Airflow code — then writes back what it built.
AI agent that scans DataHub's ML lineage, flags stale/unowned training data, and writes findings back into the catalog.
Context-aware AI software engineering platform powered by DataHub MCP & LangGraph for automated Clean Architecture FastAPI & Next.js generation with lineage & risk analysis.
Catch breaking changes before they break production
Turn live meetings into real-time, DataHub-grounded decisions, checks, and working prototypes.
DataHub maps where data goes. Covenant remembers the agreement governing every use—and traces what must change when the agreement does.
ChainScope — Blockchair Multi-Chain Explorer
A metadata-aware migration & impact-analysis agent that generates production-safe schema changes and closes the loop by writing verified impact data back into DataHub.
Ariadne is a decision governance layer for high-risk ML systems: models provide evidence, deterministic rules produce verdicts, and every decision is sealed and traceable.
Makes DataHub your team's institutional knowledge base: an agent investigates once, and the answer lands in the catalog where the next person already looks.
A DataHub-powered recovery compiler that turns live lineage into an approved, dependency-correct, executable recovery program.
Executable data-rights revocation with DataHub. Revoke one upstream right; contain and verify every affected descendant.
Trace one deletion through the DataHub graph. Execute every consequence. Prove the result.
Break data safely before bad data breaks production.
File locks can't see a semantic collision. Graph Traffic Control gives autonomous data agents a DataHub-powered two-phase commit that can.
An AI-native DataHub control plane that detects, quarantines, reconciles, and audits risky order and payment operations.
When a quality model fails silently, DataHub lineage finds the exact products at risk — including the shipped LOT a timestamp filter misses.
An AI agent that investigates data pipeline incidents via DataHub computing real blast radius, resolving owners, and writing findings to the graph so the next investigation start smartly not from zero
Catalog health ≠ data health. A DataHub agent that A/B-audits metadata vs SQL freshness on nyc-taxi, proves silent staleness, then writes Incidents, Documents, and tags back into the graph.
Detect, explain, and safely remediate production ML data failures using DataHub metadata, lineage, AI agents, and human-approved incident response.
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