For banking and insurance
Answers your auditors can follow
In a regulated business, a number is only useful if you can say where it came from and who was allowed to see it. Qry answers with both — in your cloud, under your contracts.
What a regulated business needs from an AI over its data
Every figure has a source
Each answer keeps the query it ran and the tables it read; a figure the data does not back is flagged next to it.
Down to the row
Branch managers see their branch, each entity its own books — policies written once and applied to every query; tables a person has no grant on stay out of reach.
Your cloud, your contracts
Deployed in your own tenancy, with models reached through your agreements with Anthropic, Microsoft, Google or OpenAI — or hosted by you.
Definitions that hold
What “exposure”, “claims ratio” or “active policy” means is written once and used by every answer — and flagged when it stops matching the data.
Core systems
Off Teradata and Oracle, with proof
Forge migrates the warehouse and the code around it — procedures, views, functions, batch jobs — to BigQuery, Cloudera, PostgreSQL or AlloyDB, and proves each object by comparing both sides before anyone signs the cut-over.
- Large tables loaded in their own waves
- Nothing switches on until you decide
SAP
SAP HANA, governed by module
Grants follow SAP's own structure, down to the module — so finance sees finance, and the six thousand tables of a schema stop being one all-or-nothing permission.
See it on your own data
We'll set up Qry against a dataset you choose and walk you through it — one hour, no slides.