Seeing it in action · continued from cplt.tech

Ask your documents.
Get the page number.

Try a fictional document example, see what happens when extraction fails, and explore how a private AI workspace could handle the result.

An example you can explore
Fictional documents
Visible extraction failures
Human review
What is here

Three things worth your time

How it works →

Watch three recorded Studio tests: a supported answer, a citation-link mistake and missing information. The documents are fictional; the results are real.

Architecture →

Where it can run — your hardware, your cloud tenancy, or shared — and what that choice actually decides about your data and your costs.

Security →

How to define agent permissions, agree recovery targets and test that your team can restore the system.

This is a demonstration of the platform. I build AI assistants and automation through CPLT. Services and contact are on cplt.tech. Start with a free 45-minute remote scoping call. You receive a one-page written note on fit and next steps.

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