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An agent that reads real DataHub schema before writing dbt code, validates its own SQL against it, opens a PR, and writes back to the catalog, generated pipelines you can trust, not guesses.
Evidence-led safety for analytics schema changes before merge.
Assay prices every asset in your DataHub catalog and tells you what it costs when one breaks.
See the metadata break, measure its blast radius, and repair it with proof.
A DataHub-grounded agent that finds privacy risks hidden across lineage, proves them without exposing raw rows, and generates a review-ready dbt remediation PR.
Fuse reads a schema change, walks DataHub lineage plus ML aspects lineage misses, scores the blast radius, writes the fix, opens a PR, and records the verdict back in the catalog.
Silent schema drift breaks ML models without a crash. This 5-agent LangGraph team catches it, traces DataHub lineage, and writes the incident back to DataHub.
The root-cause investigator for your data ecosystem: Majestic walks DataHub's lineage graph, finds the evidence-based cause behind broken data, and remembers it for next time.
Autonomous context-aware self-healing swarm engine for schema drift detection, process isolation, sandbox validation, and cryptographic provenance.
An intelligent, voice-and-command-driven OS core that bridges local file systems with Google’s Vertex AI. Nexus-ready automation for seamless cloud-local workflow management.
Warns you on the PR, before merge, when a schema change breaks something downstream using DataHub's real lineage graph, not guesswork. Writes the review back into DataHub too.
Servilia turns DataHub metadata into AI access decisions—allow, approve, or deny—while auditing quality for safer, explainable governance and continuous improvement.
Derives each production model's data contract from DataHub lineage, catches silent upstream breakage, ranks it by which live deployments inherit it, and writes assertions and tags back to the graph.
Automate data reliability checks with metadata intelligence – DataGuardian scans datasets, assesses production risks, and proposes fixes before they break downstream pipelines.
El agente espacial que convierte tus datos GIS en conocimiento, conectando DataHub, análisis satelital y IA local
A persistent memory layer for AI data agents, built on DataHub — every resolved schema incident becomes institutional memory the next agent inherits.
BioPathAI is an agentic AI platform that accelerates microbial pathway engineering using autonomous agents, knowledge graphs, real-time analytics, and predictive AI for faster biofuel discovery.
Convert MP4 video to editable, timestamped transcripts and subtitle files online.
Stale documentation can't hide. docFreshness flags an AI agent's context as stale the moment an upstream table it depends on drifts — and tells the agent exactly what changed and how to fix it.
An AI incident-response agent that uses DataHub MCP to trace pipeline failures, map impact and verified owners, and write the incident brief back to DataHub for the next responder.
Compile governed DataHub metadata into deterministic, source-row-free test assets with independent proof, a caught negative control, and verified MCP writeback.
AI birthday video maker for wishes, invitations, and share-ready MP4s.
The code remembers what. RationaleOps preserves why.
An autonomous, lineage-aware AI agent that walks DataHub's metadata graph to diagnose broken data pipelines, writes postmortem reports & tags back to DataHub.
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