YP vs Hebbia
Deep document research. YP acts on what it finds.
Hebbia is powerful for querying large sets of documents. YP takes it further, acting on what it finds inside your systems, with a human approving what matters.
An AI platform for searching and reasoning over large collections of documents, widely used in finance and diligence. It's excellent at surfacing answers from complex sources. But it's built around research and retrieval rather than acting across your full toolset.
Comparison
Side by side
YP
Hebbia
Does the work
Finishes tasks in your tools
Finds; doesn't finish
Runs on your systems
Your cloud, servers, or offline
Vendor-hosted
Your data stays yours
Never leaves, never trained on
Stays in the vendor's cloud
You stay in control
A person signs off first
Not built in
Hebbia is superb at deep document research. YP acts on what it finds, inside your systems, with sign-off.
Why YP
Why regulated teams pick YP over Hebbia
It does the work: finishes tasks inside your tools and returns results, not just a transcript.
It stays private: runs on your infrastructure; sensitive data is masked and never trains an outside model.
A human stays in charge: consequential actions wait for approval, with a complete audit trail.
It closes the loop: YP turns findings into finished work across your tools, not just an answer.
Frequently asked questions
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