Precepi Precepi

The Intelligence Layer for Late Stage Drug Development

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Precepi is the intelligence platform for modern {{ rotator }}

Ask in plain language. Get accurate, complete answers with every line grounded in the source documents, across our entire corpus.

Ask in Plain Language
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Cited from
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Time to answer
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Manual human search
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Spend your time applying precedent instead of assembling it.

The precedent your team needs already exists in public documents. It is scattered across numerous regulators, buried in PDFs, and written in formats no search box was built for. Assembling it is real work, and it is work we can take off your plate.

Days → seconds
Questions that took a week of manual searching and synthesis come back while you are still in the meeting.
Global coverage
US, EU, UK, Australia, Canada, Japan and China — multiple reviews and document types all in one location.
Answers you can trust
Every document is parsed section by section, not just indexed. That groundwork is why the answers hold up.
Why teams keep us

Trust is the product, and it is earned one document at a time.

We parse every document

Every document we ingest is parsed into its real structure — sections, tables, footnotes — before it is ever queryable. That is slow, unglamorous work, and it is the reason an answer can point you to a section number instead of a vibe.

We are timely

New approvals, revised labels, and fresh letters land in the platform quickly, and existing documents are re-checked when they're updated. Have the latest information at your fingertips — don’t be caught behind the 8 ball.

We listen

Most of what we have built came from a customer telling us what they were still doing manually. You get the people who build the thing, not a ticket queue, and what you tell us shows up in the product.

The alternatives

Not just a Keyword Search or a GPT Wrapper

Keyword search tools
GPT wrappers
Precepi
How you ask
Boolean strings you have to guess right
Natural language over whatever the index returned
Natural language over parsed documents
What comes back
A list of documents to read
Fluent prose, uneven accuracy
A specific answer with reasoning behind it
Document structure
Flat text, sections lost
Inconsistent; section context is often lost
Preserved, down to section, table, and footnote
Checking the work
You do all of it
You do all of it, twice
Follow the citation and confirm in one click
Who you talk to
Support
Support
The team that parses the documents

Bring us your hardest question.

Send the one your team spent a week on. We will show you the answer and where it came from.

Send us the question tom@precepi.com