ATLASThe safety literature is too big to read.ATLAS reads all of it.
Every marketed drug carries a legal duty to monitor the literature for safety signals — forever. ATLAS scans PubMed, Europe PMC and FAERS, extracts a structured ICSR-grade read from every record, and ranks what a reviewer needs to see first. The boring, audited, never-ending part of pharmacovigilance, done by a machine that doesn't get tired.
Every abstract, structured
Not a keyword match — a real pharmacovigilance read. Suspect drug, adverse event mapped toward MedDRA, ICH seriousness, WHO-UMC causality with the reasoning written out.
Disproportionality, computed
PRR, ROR and chi-squared from literature and uploaded line-listings, checked against the standard signal criterion. The statistics regulators expect, not a black-box number.
The death reports float up
A triage desk that sorts by seriousness, signal strength and ICSR validity — so the case that matters is the first row, not page nine of a spreadsheet.
From drug name to ranked signals
Name the drug
Type a compound — generic or brand. ATLAS resolves synonyms and queries every source in parallel.
ATLAS reads the literature
Each abstract gets one structured AI pass: case report or not, the four ICSR criteria, drug–event pairs, seriousness, causality.
Cross-check against the real world
A literature signal is checked against millions of FAERS reports, and disproportionality is computed both ways.
Review what matters
A ranked triage desk with a clean ICSR-style card per record — and the draft of the document you were going to write anyway.
The legacy signal-detection suites were built before language models existed — six and seven figures, and still mostly manual underneath. ATLAS is the opposite: AI-native, affordable, and shaped for the teams the old vendors priced out.
ThinkRoman Ventures · pharmacovigilance, rebuilt
See it read your drug
Open the console and run a detection. It works immediately in demo mode; wire an API key and the full AI read comes online.
Open the signal console