AlphaSense is a market intelligence platform used by companies and financial institutions. Since 2011, their AI-based technology has helped professionals make business decisions by delivering insights from public and private content—including company filings, event transcripts, news, trade journals, and equity research. The platform boasts users among 4,000 enterprise customers. Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Finland, and…
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Posit
Score 9.9 out of 10
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Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
AlphaSense is getting close to Bloomberg Terminal, yet still not yet there, as I have pointed out earlier. By market intelligence, Bloomberg Terminal can conduct more tasks than simple information search. For instance, they have teams of industry coverage or AI to conduct some …
Review investment research to understand analysts’ perspectives on management’s guidance, including commentary on earnings outlook and strategic direction. Also well suited for examining consensus estimates to assess market expectations, identify revisions, and compare projections against company guidance to support investment decisions and highlight key trends or discrepancies.
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
I believe the AI agent could be improved to answer more detailed questions and provide better data.
Access to real time financial data in a similar vein to Koyfin.
The ability to easily search across all company decks to be able to quickly gather all relevant slides for a specific topic, similar to what Quartr offers.
Python integration is newer and still can be rough, especially with when using virtual environments.
RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
AlphaSense is a very useful tool and is reasonably priced for our organization. While I may not be a hyper-active user, it's a great resource when I need to quickly do a competitive landscape survey, review publicly available documents (transcripts, etc.), or review Wall Street research
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
AlphaSense has a very intuitive user interface, and I can tell they have been focused on expanding their product breadth and continuing to innovate on current products. Some basic features are missing or I can't find (I can't just sort expert calls by only the ones that are applicable to that ticker, most relevant is the one that works best, but I want just the ticker)
For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
The availability of Alphasense is great. I have used the software for multiple years and cannot remember ever having an outage issue. This is surprising actually, as I use other software applications that do not have regular outages, but still have outages periodically. Alphasense, on the other hand, never seems to have any outages. Good sign if I can't remember the software not working :).
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
Loading or performing searches on AlphaSense platform is reasonably fast for most of the time. However, it is sometimes unacceptably long for me to load PDF files (earnings presentation, supplementary financial report) on AlphaSense. Certain features might also take very long time, such as loading for "similar tables" across EDGAR filings, or downloading tables from EDGAR filings
Customer support is very prompt. I get personalized support for search recommendations and content that I could not find in my own search. Support checks in with me on a bi-monthly basis to keep me informed of the many different feature additions, I cannot find a more kind, understanding, and supportive team.
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
The person was prepared, attentive, understood the nature of my questions, was willing to work through any difficulties or misunderstandings, was patient, and super pleasant to work with. Great customer service.
Our online training was led by a AlphaSense representative. The training is always good. The bigger issue is our time availability to remember the training and utilize it. The trainers will show us examples and then ask us for real industries or companies of interest to use so that the training is most relevant.
Special features of AlphaSense that made us decide on this CI platform: - US-based market and competitive intelligence platform with various premium content (broker information, expert calls, earning transcripts, original company documents etc.) - AlphaSense is a trusted CI platform by world’s leading corporations and financial institutions - AlphaSense’s proprietary AI stack has been meticulously engineered over a decade so that their AI accelerates speed-to-insight so clients can act with confidence when making critical decisions - Private and public companies, therapeutic areas and products can be monitored - Datalog is available up to 15 years, and advanced search is supported for them - Curated newsfeed is available from more than 3,500 top news publications, client requests and hand-picked vendors for premium subscription - Very advanced company profiles are available by default with newsfeed, original company documents, expert calls and reports - Newsfeed and alerts can be also set by admins and individual users
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
It has been very simple. Contract terms are standard for an online portal. Of course, I would like unit pricing to be lower so I could get more users on the license or to rotate seats to get more value out of each license. Billing frequency has been standard as well. This could be more significant for a larger customer.
The sharing features provides by AlphaSense mean that it can be readily scaled for teams within an organization and, subject to compliance requirements, with client organizations. The ability to share annotations of transcripts and investor releases is valuable, and facilitates collaboration between analysts.
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
AlphaSense has allowed us to generate deeper competitive insights. For example, we conducted an in depth analysis of the aerial data analytics (drone) industry, and AlphSense helped us narrow in on the market leaders and their various strengths / weaknesses.
AlphaSense has improved our team's overall efficiency. With Stream in particular, we are able to pinpoint insights in a matter of minutes through the transcript feature as opposed to having to conduct a series of calls ourselves. This is a significant time saver.
AlphaSense has allowed us to make more informed decisions on our public holdings by providing us with unfettered access to equity research analyst reports.
Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
