UnieAI Studio · Data Hub
Turn enterprise data into context AI can understand
Sync structured databases and unstructured files into one governed data plane, model their business meaning, and let agents analyze both with traceable sources.
One governed data plane
From source systems to answers with evidence
Data Hub keeps raw systems intact, creates isolated and current analytical copies, and gives every agent the context to choose the right table, document and relationship.
Structured and unstructured data in one workflow
Raw sources remain the systems of record
Every chunk keeps its original source URI
Tenant-level data and permission isolation
Unstructured data
Bind AWS S3, MinIO or SeaweedFS, select a folder, and keep its files synchronized. UnieAI Parser extracts text, OCR and structure before chunking and vector indexing.
Structured data
Sync operational databases by batch or CDC into a tenant-isolated warehouse. Data Hub preserves the raw schema and identifies tables, columns and foreign keys; Studio uses that topology to draft business objects, relationships and metrics for joint business and engineering review.
Ontology built into Data Hub
Ontology is not another data platform. It is Data Hub's semantic control layer.
Data Hub spans connection, synchronization, storage and lineage through ontology. Its built-in ontology sits between data and AI action, packaging Objects, Links, Policies, Actions and Evidence as governed, deployable runtime assets.
Preserve source schemas, documents and lineage without replacing systems of record.
Draft Objects, Properties, Links and metrics from source topology.
Business and engineering define permissions, Policies and evidence in Studio.
Ship confirmed semantics and Actions as reusable agent runtime assets.
Agents act within policy, retain evidence and read execution results back.
BI Agent
The agent reads the confirmed ontology before it queries. It can select the right tables, write SQL, combine results with supporting documents and render an inspectable BI answer.
Natural language
Built for enterprise operations
Fresh, isolated and traceable by design
Warehouse data, permissions and query routing remain separated per tenant and connection.
Sync versions, source URIs, table names and full document paths stay attached to results.
Track sync progress, processed rows, file status, failures, freshness and usage from one control plane.
Give your agents a data foundation they can trust
Bring one database or S3 folder. We will show the complete path from synchronization to a sourced AI answer.