Patent landscape and competitive intelligence

Your patent landscape is out of date before it is finished

A landscape for one target or modality can mean reading thousands of patent families with overlapping composition, formulation and method of use claims. Your analysts build it by hand in spreadsheets, and new filings arrive while they work.

Competitor moves are spread across patent offices, trial registries, journals and conference abstracts. Your competitive intelligence team checks each source on its own schedule, so a change in a rival's program can sit unread for weeks.

Your research and business teams ask the same questions again: who holds what around this mechanism, and what changed this month. Each answer takes an analyst's time, and an answer without a source is hard to bring to a portfolio meeting.

How AI patent landscape analysis works

Enterprise h2oGPTe indexes the documents you choose in your own environment and answers questions over them with citations, so your analysts spend their time judging answers instead of hunting for them.

Step 1: build your patent and trial collection

You load the patent documents, trial records, publications and internal notes your team already uses into a private collection. Document AI extractors can pull structured fields such as assignee, priority date and claimed compound class into a table for your analyst to check.

Step 2: map the landscape by assignee and technology

Your analyst asks for the landscape around a target, a modality or a formulation approach. The assistant reasons across the retrieved documents and returns a grouped overview, families by assignee, technology and claim focus, with a citation for each entry. Whether a gap in filings is a real opportunity stays a judgment for your IP team and counsel.

Step 3: search prior art in your own words

Your patent professional describes an invention disclosure and asks for related art. Semantic search finds concepts described in different words, and lexical search finds exact patent numbers and codes. The assistant returns candidate documents with the matching passages for your attorney to assess.

Step 4: monitor competitor filings on a schedule

H2O AI Super Agent can check the sources you approve on a schedule. It summarizes new competitor filings, trial registrations and publications for the programs you track, and links each item to its source.

Answers your team can check

Every answer carries references to the source passages behind it. A reviewer can open the document and catch an error before it reaches a portfolio decision, which matters when the same question comes from a board or a licensing partner.