Gluesync AI Hub · Coming in 2.3

AI belongs where your data is already governed.

This is how we envisioned AI-powered data integration: one governed path from the model you choose to 59+ databases, including legacy systems no matter how old.

Request 2.3 beta access See how it fits together

One architecture, different ways to work

Start in chat, in the SQL editor, or in the tools you already use.

01

Build agents

AI Studio

Create agents around OpenAI, Anthropic, Azure OpenAI, or Ollama using your own keys. Give each one an explicit MCP tool allow-list, then inspect every tool call in the conversation.

Explore → 02

Write SQL

Query Studio AI

Describe the result you need. The editor uses visible schema context to draft SQL for you to inspect, edit, and run yourself.

Explore → 03

Connect tools

Core Hub MCP

Expose pipelines, agents, entities, metrics, and governed database tools to AI clients without introducing a privileged service identity.

Explore → 04

Call AI from SQL

Query Forge · gluesync.ai

Ask a question through the Gluesync JDBC catalog and receive an answer, proposed SQL, citations, and a conversation ID in one row.

Explore → 05

Reach the record

AI on legacy databases

Bring IBM i, Db2, Oracle, and other established systems into governed AI workflows through the Gluesync agents already beside them.

Explore →

Gluesync 2.3 preview

Your model can be new. Your governance does not have to be.

  • Your infrastructure
  • Your models
  • Your permissions
  • Read-only defaults
  • Tool traces

AI Hub is planned for Gluesync 2.3 and is not generally available today. Book a preview, or start with the Gluesync platform that provides its data foundation.

Book a demo Get Gluesync