From Manual Bottlenecks to Smart Insights: How a Private Equity Leader Transformed Research with AI

An unnamed leading private equity firm had slow, manual research processes, inconsistent data outputs, and misinformation risk that hindered investment evaluation. It implemented AlphaSense's AI platform on AWS, including a vertical LLM, smart summaries, and AI-powered search. The page states this drove a "300% increase in platform engagement," a significant cut in research time, better data accuracy, and improved cross-team collaboration, enabling faster decisions across investment verticals.

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.