An AI research analyst that reads the literature and cites every line
Ask a clinical question, get an answer you can defend: a structured brief where every claim links to the paper, trial, or guideline.
Pose a clinical or market question; get back a structured brief where each claim links to the paper, trial, or guideline it came from.
A literature review that doesn't take three days and a stack of open tabs
A new biosimilar gets an FDA label change, a competitor publishes Phase III data, a payer updates its coverage policy — and someone on your team spends the afternoon stitching together PubMed abstracts, a ClinicalTrials.gov search, and two payer PDFs into a summary that's stale by the time it's circulated. The agent does the stitching. You give it the question; it runs the searches, opens the full papers, and writes the brief.
It searches the open web and reads JS-heavy pages end to end — PubMed and ClinicalTrials.gov result lists, an FDA drug label page, a payer's medical policy PDF, a society guideline. It can also call structured APIs directly when you have a key: the NCBI E-utilities, openFDA, the ClinicalTrials.gov v2 API. Every number it reports — a hazard ratio, an enrollment count, a coverage criterion — carries the link it came from, so a reviewer can check it in one click instead of taking it on faith.
What it actually produces:
- A cited brief: the question, key findings, evidence table, and a reference list with live links
- An evidence grid in Google Sheets — one row per trial or study, columns for design, n, endpoint, result, source
- A standing watch: a scheduled search that emails you when new results appear for a drug, indication, or trial ID
- A landscape scan of competitor pipelines pulled from trial registries and press releases
- Notes with @-mentioned sources and backlinks, so a topic you researched in March is one search away in June
It is a research analyst, not a clinician. It synthesizes published evidence and tells you where it came from; it does not diagnose, give medical advice, or replace a systematic review. The point is to get a sourced first draft in front of a human reviewer in minutes, not to remove the reviewer.
Related pages in this workflow
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
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Frequently asked questions
Does it just summarize abstracts, or read the full paper?
It opens and reads the full record where it's accessible — the methods, results, and trial registry entry — not only the abstract. For paywalled journals it works from the abstract plus any open-access version it can reach, and it tells you which it used.
Can I trust the citations, or does it make them up?
Every claim in a brief links to the page the agent actually opened. Because you can click through to the source, a fabricated or mismatched citation is immediately visible to a reviewer — which is the whole reason the links are there. Treat the brief as a sourced first draft for a human to check, not a finished systematic review.
Which databases can it search?
Anything reachable on the open web — PubMed, ClinicalTrials.gov, FDA, EMA, payer medical-policy pages, society guidelines, preprint servers, company press releases. For PubMed, openFDA, and ClinicalTrials.gov it can also call the official APIs directly when you provide a key, which is faster and more precise than scraping.
Can it monitor a topic continuously?
Yes. Set a scheduled search in plain language — "check ClinicalTrials.gov for new Phase II results in primary biliary cholangitis every Monday" — and it emails you a short update only when there's something new, with links.
Is this giving medical advice?
No. It's a research analyst that synthesizes published evidence and shows its sources. It does not diagnose, recommend treatment, or interpret a specific patient's case. Clinical and regulatory decisions stay with your qualified team.
How much does it cost?
$49/month or $490/year — cancel anytime. It's hosted, so there's nothing to deploy — setup takes about four minutes, and the platform is in public beta.
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