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Private data. Clear boundaries.

Your company data belongs in a dedicated environment. How it is connected, who can access it, and what is sent to an AI model should be explicit.

The questions worth asking

Where does our data live?
Profonti brings the agreed source data into a dedicated customer environment. The deployment, hosting location and permitted access are defined for the engagement.
How does it learn our business?
Source relationships, business definitions and retained context connect what the records mean. That understanding can be reviewed and refined as your business changes.
How do we check an answer?
Review the query results and supporting records. The data-query path uses read-only controls; important decisions still require human review.
Does private mean every model runs locally?
No. A dedicated data environment does not by itself make inference local. In the current model path, questions, schema context and relevant query results can be sent to an external model provider. Confirm the permitted data flow before use.
What keeps a dashboard current?
Source synchronization and saved-view refresh schedules. Current means current to the configured cadence, not a promise that every source updates in real time.

Agree the controls that fit your business

Privacy is more than a deployment diagram

We distinguish the stored company data from the question and selected context used for model inference. Your team should understand both. We do not describe a dedicated environment as automatically air-gapped, guarantee error-free AI, or promise a connector before confirming your source requirements.

This page describes the product evaluation questions. The website privacy policy separately explains anonymous page measurement and what happens when you contact us.

Discuss your requirements.