What is our primary use case?
I have been using AlphaSense for almost five years, and I find it to be one of the best tools for my competitive intelligence pharma forecasting projects. I also use AlphaSense within primary market research, secondary market research, to hear about analyst commentary, to look on the company website, and investor documents, as well as to track company events hosted by big pharma players such as AstraZeneca and Roche. We get transcripts and ready reckoner transcripts on AlphaSense, which are really helpful for our projects.
My main use case for AlphaSense involves obtaining a curated list of company documents organized year-wise, month-wise, and quarter-wise. Secondly, I use AlphaSense to take curated transcripts for all the sessions and events hosted by the big pharma companies. Third, I use AlphaSense for its AI component, which allows me to ask a question and receive an AI-based answer. I rely on AlphaSense for these three types of queries.
In a recent project focused on competitive benchmarking, we aimed to benchmark four competitors, four big pharma players, by covering their competitive intensity, pipeline, portfolio tracking, news, and alerts monitoring. Ultimately, we needed to provide strategic recommendations to our client within the lung cancer space, and in this oncology tumor project, I used AlphaSense to have all the updated data, including all the filings for the four competitors, company events, investor presentations, and the recent conferences. Every data point, along with the data source, was sourced through AlphaSense.
In another use case while working on the clinical trial pipeline, we found a list of products and had to prioritize the top three assets from that list. From AlphaSense, we found the latest trial result that was not available even on secondary resources or the company website. We found this information in one of the analyst reports covered by AlphaSense, where we discovered the data of a failed trial, which was a key point as we removed that asset from our client's final deliverable.
How has it helped my organization?
AlphaSense has positively impacted my organization by saving a substantial amount of man hours when we calculate the time spent working on a project. It has also increased productivity, as the time required to search for data from secondary domains or company websites has reduced by almost 60%. For instance, if we needed to complete a project in two weeks, including data mining, we can now finish it in approximately one week, making a significant enhancement in productivity and time savings at an organizational level.
This time savings and productivity boost have significantly improved our team and client relationships. For example, previously, if our team was allocated one project, they would only focus on that due to time constraints and strict quality delivery. Now, because a lot of time is saved and productivity is enhanced, we are able to work on multiple projects within the same timeframe, which has transformed our workflow and outcomes.
What is most valuable?
The best features offered by AlphaSense include the chronological order of all curated databases for reports and documents company-wise, its comprehensive coverage of almost all private and public pharma companies, and its ability to cover the most recent transcripts quickly after events. Lastly, I particularly appreciate the analyst AI component, which allows me to interact with AlphaSense and receive insights combining human and AI intelligence. These four features stand out to me the most in AlphaSense.
One thing I wish more people knew about AlphaSense is that it is a complete database in itself. If a company has a subscription to this tool, I do not believe additional subscriptions are needed, such as EvaluatePharma, Data Monitor, Cortellis, or any other database, because AlphaSense covers all the key metrics and KPIs needed for any pharma project.
AlphaSense's AI capabilities are significant, and I believe the data we receive is very much secure and relevant, aligning well with the questions and prompts we enter into the database. AlphaSense has consistently provided me with good results, and I do not recall any instances of data conflicts or mismatches in the information. It has been accurate.
What needs improvement?
Currently, I do not see any challenges or pain points with AlphaSense because I have access to a 24/7 support team. We receive all the up-to-date data and key metrics in one place. However, one area for improvement could be the coverage of additional metrics, such as patents, as legal or regulatory information is somewhat less available on AlphaSense at this time.
Regarding needed improvements, I think it would be beneficial if AlphaSense could integrate additional data sources, such as USPTO, Espacenet, and European patent data. This would allow us to avoid searching on legal patent websites and find everything we need within AlphaSense itself.
What do I think about the stability of the solution?
My experience with AlphaSense indicates it is stable, and I have not encountered any downtime or technical issues, especially with the 24/7 support team available to address all our queries.
What do I think about the scalability of the solution?
AlphaSense handles growing workloads and more users smoothly in my organization.
How are customer service and support?
I have had multiple interactions with the customer support team, and they are very helpful and knowledgeable, solving all my queries promptly. I would rate customer support a perfect 10.
Which solution did I use previously and why did I switch?
Before AlphaSense, we used EvaluatePharma, Data Monitor, Cortellis, and AdisInsight. We made the switch to AlphaSense after COVID due to its AI component and the new features that prior databases did not offer.
What was our ROI?
I have seen a return on investment with AlphaSense, particularly in the metric of time saved. Since time was saved, the need for hiring additional people also reduced.
What's my experience with pricing, setup cost, and licensing?
Regarding my experience with pricing, setup costs, and licensing, I am not heavily involved at the organizational level. However, when we join a new company, such as when I was with BioXcel and CoreSight, we automatically receive login IDs and credentials from the AlphaSense team since our organization has a subscription.
Which other solutions did I evaluate?
We evaluated other AI-based tools such as Claude, Perplexity, and NotebookLM before choosing AlphaSense, which we found to be more authentic, life science-focused, and reliable in terms of data for the pharma and healthcare industries.
What other advice do I have?
I would rate AlphaSense a nine out of ten. I gave it a nine out of ten due to usability factors that prevent me from giving it a perfect score, but a nine works for me. One piece of advice I offer to those considering AlphaSense is to participate in the training session, as the AlphaSense team provides an introductory meeting to new users. Having a thorough knowledge of all the features and support available is crucial for maximizing the utility of this software. My overall review rating for AlphaSense is nine out of ten.
Which deployment model are you using for this solution?
Private Cloud