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A production ML agent that uses DataHub lineage, metadata and ownership context to detect upstream risks, trace affected models and deployments, and write actionable findings back to DataHub.
An AI Agent built on DataHub MCP Server that reads database schemas and automatically generates accurate SQL queries and Airflow DAGs without hallucinations.
An AI agent that turns Datahub metadata into merge-ready analytics code.
LineageLens validates your dbt/SQL pull requests against live DataHub lineage before you merge — so you never ship a breaking change to production again.
An animated AI anchor that charts stocks, reads market news, and answers data-governance questions live from a DataHub catalog: ownership, schemas, and lineage, read on air.
Reviews every data PR against DataHub; What breaks downstream, and who to tell — then writes the verdict back into the catalog. Catch breaking changes before you merge.
A DataHub-aware agent that blocks risky schema changes before they break critical dashboards and ops jobs.
Agents That Do Real Work
UA Copilot is an autonomous agent that does the daily work of a performance-marketing / user-acquisition buyer.
Reflex turns human-confirmed data incident lessons into backtested preventive controls and propagates them to similar assets through the DataHub graph.
HOMEDI transforms healthcare with AI, secure digital health records, QR-based consent, and smart hospital connectivity, putting patients in control of their health data.
An explainable DataHub lineage gate that catches breaking schema changes before they silently damage downstream pipelines, dashboards, and AI agents.
A DataHub-aware agent that reads schemas, lineage, owners, and quality rules before generating mergeable dbt, Airflow, and catalog write-back artifacts.
An intelligent AI agent platform built using DataHub's open-source context to automate smart workflows.
The ANCF framework was developed through a multi-stage neuromorphic simulation pipeline integrating synaptic device modeling, neuron dynamics, spike-based neural computation, and topology optimization
Catch poisoned data, shadow models, and version lies in your ML supply chain — powered by DataHub lineage.
A tool that uses AI to analyze how people perform under pressure and helps improve focus, decision-making, and resilience.
A schema-change safety gate across the data graph, inspired by two-phase commit.
When monsoon clouds blind optical satellites, FloodSense-PK sees through them. SAR + AI + live river data = early flood warnings for millions of Pakistanis.
A lineage-aware AI safety gate that blocks risky model releases and writes verified decisions back to DataHub.
Proves a schema fix is identical to the penny, or the database refuses to ship it.
Audits deployed ML models for target leakage using catalog metadata alone. Walks column lineage to find the leaks no amount of reading a feature description can catch.
Ask anything about your data stack. Watch the AI agent think.
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