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Evidence-first schema-change preflight that maps DataHub lineage, generates compatibility artifacts, and blocks unsafe migrations before merge.
Catch hidden data dependencies before they become production incidents. DataRipple reconciles DataHub lineage with observed runtime usage to detect schema-change blast radius before PRs merge.
An AI data steward that detects stale metadata from engineering changes, reasons using DataHub, and automatically proposes or applies accurate metadata updates.
An air-gapped governance auditor for DataHub that finds where PII leaks through your lineage — and never sends a byte to the cloud.
AN AUTONOMOUS AI AGENT THAT ASSIST US
Synthia turns sparse DEV data into a governed, KPI-ready augmented synthetic dataset, shortening pre-production testing with DataHub, Agent Context Kit, Vertex AI, Python, and BigQuery.
An AI agent that reads DataHub lineage to predict which downstream report field breaks when an upstream schema changes — and writes the data contract back.
DataHub grounds the plan; deterministic policy authorizes the exact work; receipts preserve the handoff.
A lineage-aware firewall that stops poisoned DataHub context before AI agents trust it.
DataHub-native change assurance: complete blast radius, validated migration code, and evidence-backed go/no-go decisions.
Continuous intelligence monitoring for your data catalog.
Safe, traceable analytics with DataHub MCP, deterministic planning, and local read-only synthetic SQLite.
An AI governance agent that reads DataHub's lineage graph and catches silent data drift before a human ever has to.
Approval-first infrastructure planning grounded in governed metadata and durable decision memory.
Autonomous deprecation campaigns for DataHub: evidence-backed dead-dataset sweep, human approval gate, catalog write-backs, owner-ping and cleanup-PR drafts, plus cost/ROI estimates.
An AI agent that uses DataHub context to assess the blast radius of data changes, require human approval for risky actions, and write auditable decisions back to the metadata graph.
it is basically the summary page/report for any road, bridge or transits project that TX dot is planning designing or building in Texas
A personal context infrastructure that restores project continuity, traces decisions, and governs agent actions through human confirmation and verified re-reads.
AI agents on DataHub’s context graph detect, diagnose, fix, and learn from data incidents — health for systems and health for humans.
Plan Smart. Travel Better. ⭐
Check AI-written data code against your catalog before it merges. The checker does not contain a model.
DataHub shows you the blast radius. LineagePilot closes it — reasoning, fixing, and reviewing schema changes before they break production.
DataHub-native evidence verification with inherited lineage, ownership, schema context, and auditable write-back.
What breaks if this ships? Blast Radar walks your DataHub lineage over MCP, ranks which downstream assets a change actually endangers, and writes the verdict back into the graph.
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