Use case · Life sciences

Compare every label,market by market.

Your agent reads labels, regulator summaries and coverage decisions, and answers for each market with the document that governs.

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LECANEMAB · APOE ε4 HOMOZYGOTESREGULATORY LABEL AGENT
US LABELApproved, with a boxed-warning risk factor
yes
EU SMPCExcluded from the indication
no
MEDICARECovered with evidence development
with conditions
Different answers by market. The EU excludes this group; the US labels it as a risk.FDA LABEL · EMA SMPC · CMS NCD 200.3

The work today

One drug, different answers
in every market.

THE DOCUMENTS

Labels, SmPCs, reviews, coverage.

Each regulator and payer publishes in its own structure, and revises often.

THE CHECK

Market by market.

Indication, warnings and monitoring compared across regulators and payers.

THE COST

The summary isn't the rule.

A regulator's own overview can leave out what its binding document requires.

How it works

Read it. Line it up.
Cite the one that governs.

01 · DOCUMENTS

Every regulator's format.

Labels and reviews read with their tables intact, every claim scored and located.

Document Intelligence →
02 · DATA

Every claim a row, by market.

Indications, warnings and conditions in one schema, so markets compare in one query.

Deep Transformation →
03 · AGENTS

The governing document, cited.

The agent answers per market and names the document and page that decide it.

Agent Builder →

Every revision

Know what changed
between revisions.

Labels change often. Run the agent on every revision and see what changed, market by market, with the page.

Batch →Confidence Scoring →

How to start

Start with one product you know well.

Ask the questions your team already answers, and measure the agent against your own answers.

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← Healthcare and life sciencesPlan benefitsAll use cases

A starting point, not a packaged tool. Build it your way: your rules, your data, your systems.

How agents are built →
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