AlphaSense A Good RMS For Investment Research
Use Cases and Deployment Scope
Pros
- AI summaries of earnings reports are helpful at a high level, but be wary of repetitive content.
- AlphaSense handles images and screen captures pretty well, making research notes more useful.
- Isolating content is pretty intuitive. Example: I can enter a ticker, and under the content options I can click for "transcripts only" so that I'm not endlessly scrolling to find the transcript I want.
- Audio is embedded with most transcripts so it's easy to listen and follow along in the text, highlighting what I need for later reference.
Cons
- The AI does a good job of handling one document at a time but often delivers ineffective results if searching for insights over a longer timeframe -- say, a trailing 12 month period.
- There's no mechanism for uploading documents. (To be fair, AlphaSense has added a feature for *defining* the documents to which you want to limit your search, which is an improvement.)
- There should be a mechanism to add comments inside my own notes. (Think about how you can add a comment to a sentence or paragraph in Word or Google Docs. Sometimes contextual notes are helpful.)
Return on Investment
- I don't have a tangible number, but I can say that AlphaSense appears to have been good value as a research management tool. We probably would have spent at least as much as our annual subscription fees to build something a fraction as good.
- AlphaSense AI has also been quite useful in that its highly targeted at a set of financial data that I need. The AI is far from perfect -- especially when evaluating a multi-quarter set of data -- but it tends to at least source data I wouldn't find on my own.




