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Attack surface mapping, powered by DataHub.
DNASeed is an AI-powered molecular data preservation platform using DataHub context and governance to intelligently archive, verify, and recover datasets as Digital DNA Seeds.
SourceFit is a DataHub-powered agent that measures a vendor dataset’s real lift, blocks usage-rights violations, generates the integration, and writes the decision back to your data catalog.
A living cursor that understands context.
TrustGate reconciles conflicting DataHub metadata, flags purpose-specific risks, recommends remediation, and keeps humans in control before writeback and verification.
DataHub powered live context control plane leveraging Agent Context Kit
SkillGraph catalogs the agent layer in DataHub, where skills and MCP tools become datasets, prompt dependencies become lineage, and broken references become provable, searchable findings.
An AI Data Engineering Copilot that uses DataHub metadata, lineage, RAG, and MCP tools to analyze data impact and generate production-ready dbt, Airflow, and SQL assets.
AI-powered incident response for modern data stacks.
A DataHub-powered lens on your parcel: see if your crop goes thirsty before you sow it, with every number traced back to its source.
AI agent & DataHub Skill that evaluates SQL PRs for column-level downstream impact, checks data contracts, scores risk, & performs reversible 2-way catalog write-back.
Privacy-first AI that detects human risk, uses DataHub to trace the data and model behind predictions, and explains the evidence and recommended action.
An AI agent that uses DataHub metadata and lineage to detect ML pipeline risks, explain why a model is at risk, and recommend actionable fixes before deployment.
Health agents that do real work and bridge the gap in access to quality healthcare in emerging countries.
Catch breaking changes before they break production
Ask Rook turns new-hire questions into trusted, reusable organizational knowledge. Making onboarding faster and every future answer smarter.
AI agent that detects ML model drift, traces root causes through DataHub's lineage graph, and writes findings back — so engineers know exactly what broke and why, in seconds.
Your model didn't drift. Your graph did. Faultline proves target leakage and train/serve skew from DataHub's lineage graph; an agent triages what it proved, and cannot invent a finding.
Autonomous metadata-driven AI agent powered by Google Gemini that inspects DataHub schemas to synthesize dbt models, Airflow DAGs & Data Contracts.
Pathfinder is an automatic safety check that runs the moment a change is proposed. It plugs into two things teams already use: GitHub (where engineers propose changes) and DataHub
A stateless, zero-trust AI agent for secure GitHub automation using RFC 8693 token exchange.
We're embedding a conversational AI agent directly into DataHub's UI, turning a static metadata catalog into active, queryable copilot that lets discover data, add skills & act using Action Framework.
Twin is chaos engineering for data platforms. It reads your Datahub graph, breaks a real copy of your warehouse, checks whether the catalog predicted the damage and writes the verified truth back.
An autonomous 8-agent engineering fleet using DataHub as an Intelligence Backbone to audit repos, detect schema drift, patch SQL, and write back enriched metadata via MCP.
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