How AI automates an 'onerous' equity research process

Howard Mason, a payments analyst at Renaissance Macro, had a slow manual research process involving downloading PDFs and using Ctrl+F across dozens of filings and transcripts. AlphaSense automated this by enabling parallel searches across sources with AI-surfaced results, cutting research time sharply. Mason describes the platform as "the Google for company and financial documents," finding needed information in seconds rather than hours, and says he continues renewing his contract annually because of the ease of use and efficiency gains.

The customer is anonymised in AlphaSense’s own case study — not withheld by us.

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.