A highly regarded asset manager boosts analyst productivity
An unnamed asset manager focused on private credit solutions had an inefficient research process during due diligence, relying on consumer search tools. After adopting AlphaSense, analysts cut time spent gathering information by 50-75%, with one senior associate's task dropping from 6 hours to 1 hour. The platform's content breadth and AI helped surface previously missed information (such as litigation documents), let the firm run with 5% less headcount in 2018, allowed analysts to manage three deals at once instead of two, and supported better overall credit decisions.
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.
Published by AlphaSense on its own site — read the original case study on alpha-sense.com ↗
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