How a CI leader delivers more insight and searches less
An unnamed aerospace company's competitive-intelligence team relied on fragmented research processes using expensive legacy tools with weak search. After adopting AlphaSense, the team gained integrated access to equity research, press releases, and investor presentations in one platform, running thematic searches and extracting insights more efficiently. This let the CI leader spend more time translating findings into strategic recommendations rather than low-value searching, with the team particularly valuing AlphaSense's Wall Street Insights feature for analyst research.
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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