Your AI is only as good as your data — so Kvarts connects it to your warehouses, and you decide exactly what it sees.
Kvarts grounds every AI answer in your company’s own data — fetched from your warehouse at the moment of the question, inside the permissions you set. No exports, no copies, and nothing the model has to remember.

Most AI answers are guesses. A model remembers the internet, not your numbers. Ask it about last quarter’s churn or a customer’s open invoices and you get something plausible, not something true.
Grounding changes that. Kvarts fetches the facts for each answer from your own warehouse as the question is asked, and only the facts that person is allowed to see. Every lookup is logged.
Your data stays where it is. The AI gets an answer, not a copy.

2.1 % overall: SMB 3.4 %, mid-market 1.6 %, enterprise 0.8 %.
I don’t have your figures. For B2B SaaS, quarterly churn is often somewhere between 2 and 7 %, with SMB usually the highest.
Every question is a query. Kvarts asks your warehouse for exactly what the answer needs, checks the person’s permissions, returns the result and writes a line in the log. The model sees the facts for one answer, never the whole table.
One connection. Your rules. Every lookup logged.
Kvarts sits between the people who ask and the data they may see. IT connects the warehouse once, the rules decide what each person’s AI can read, and every lookup is written to the audit trail.
Connect your warehouse once. Snowflake, Amazon, BigQuery, Databricks, Postgres or Azure: IT sets up the connection, and nothing is copied or moved.
Set the boundaries once — which tables and columns, which people, which AI models and tools — and Kvarts enforces them on every question.
Ask anywhere. People ask in Slack, HubSpot or Notion and get an answer built on your live numbers. Every lookup lands in the audit trail.

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Not sure which path fits? Most teams don’t know at first — and that’s fine. You can start self-serve and switch later, or talk with us before committing. The system is designed to adapt either way.