An investment analyst saves 25% of his time during earnings season

Alexander Tjiang, an investment analyst at Richardson GMP in Toronto, faced time-consuming earnings-season work — line-by-line transcript review, sentiment analysis, and model updates across 20 covered companies. He adopted AlphaSense, using black-lining for SEC filing changes, table extraction, and automated sentiment/theme analysis, saving "probably 25% of the grunt work." He said: "This earnings season was huge using AlphaSense. It was phenomenal, it took a matter of minutes to go through a company and get smart, quick."

AlphaSense is an AI-powered search platform over premium business documents, earnings calls, filings and expert-network transcripts, used by pharma competitive-intelligence and business-development teams.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.