A biotech investor taps internal and external content for insights

An unnamed biotech-focused investment firm struggled to search its large internal library of conference notes, research documents, and meeting materials spread across shared drives and SharePoint. It implemented AlphaSense to consolidate both internal documents and external broker research into a single searchable platform. This improved searchability across text files, presentations, and spreadsheets, cut file-finding to a single click, and let analysts draw on previously underused internal research alongside current broker content -- addressing what one analyst called navigating "an endless firehose of information."

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.