Per-role tools
Only the interfaces they need
Jupyter, SQL Editor, LLM Chat, and App Builder switch on or off per role. A dashboard viewer never sees a notebook.
Platform AI Querying
The right tools, the right data, per role.
Workspaces provision each team with the interfaces and data they're cleared for, and nothing they aren't.
Access is enforced at the table, for humans and for the AI alike. A role that can't see a table can't get a plain-English answer derived from it, and the SQL editor on Data Analysis inherits the same boundary: the structural governance that comes from Governed Warehouse.
Capabilities
What it does, in four parts.
Table-level data
Access enforced at the table
A user cleared for customers and orders cannot query salaries, and the AI on Natural Language Query inherits the exact same limit.
Structural, not advisory
The AI can't route around it
If a role can't see a table, no verified answer can be derived from it. Governance is architecture.
One environment
No tool-switching tax
Chat, SQL, and notebooks share one warehouse and one permission model, drawn from the Governed Warehouse.
View as role
Switch the role. Watch access change.
Tools and data categories the selected role can't use grey out, for humans and for the AI alike.
Tools provisioned
Jupyter enabled
SQL Editor enabled
LLM Chat enabled
App Builder enabled
Data categories accessible
Customers table-level
Orders table-level
Shipments table-level
Finance table-level
Employee salaries table-level
Insights
Use cases & field notes from the data trenches.
Customer playbooks, technical deep-dives and field notes from deployments into messy enterprise estates.
Technical
JOIN dms_secondary ON erp.sku_code
→ 94% match · conf 0.94
→ 94% match · conf 0.94
Contextual data in personal care manufacturing & distribution: the context between systems is the missing asset.
Every personal care manufacturer generates data at every stage of its value chain, and cannot join it. How automated relationship discovery turns five to eight disconnected systems into cross-source answers in minutes, not days.
Read the white paper Use Case
ERP Secondary Sales GST
One view across distributors, billing, and compliance: how pharma distribution stops flying blind.
Secondary sales in spreadsheets. Distributor stock self-declared. Billing in the ERP. Compliance records as PDFs. How Qwry.AI connects them into one governed view, and what becomes possible when it does.
Read the use caseConnectors
Reads from the systems you already have.
Databases, warehouses, files and the apps you run: connect what you already have, don't migrate. Every source lands in one governed graph, with 200+ on the roadmap.
Don't see your connector? Tell us your stack. We'll scope it.
Reach out →Give every team the tools.
Give no team the wrong data.
Tell us how your estate is divided today and who is not supposed to see what. We will show you the same boundary enforced once, in the warehouse, for people and models alike.