Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
An AI-native biopharma intelligence platform enables teams to screen assets and benchmark competitors using data from clinical publications and regulatory filings.
Standard Python-based parsers could not interpret visual-heavy content like conference posters, charts, and scientific figures. Critical data...
“We could track those documents, but not truly interpret them. Critical information embedded in visuals was invisible to our models —the kind of data that drives real decisions in biopharma.”
AI platform for BioPharma knowledge work and clinical data analysis.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.