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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Azure AI Search
Score 8.8 out of 10
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Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
AlphaSense is very well suited to investing teams that need a research management system that has a robust database behind and rich content management features for note-taking. AlphaSense may not be well-suited to individual investors who want data access but don't need to be sharing notes to a wider team. The sharing features are what make AlphaSense most useful.
It's very useful when used with large file systems, once the models index the files good enough, the suggestions are very impressive and produce grounded answers. Since it can natively work with blob storage the requirement for pre-processing the data is eliminated i.e. the data can be searched in its raw form, this makes Azure AI Search a very powerful tool when used with Azure Stack.
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.
Like virtually all Azure services, it has first-class treatment for .Net as the developer platform of choice, but largely ignores other options. While there is a first-party Python SDK, there are only community packages for other languages like Ruby and Node. Might be a game of roulette for those to be kept up-to-date. This might make it a non-starter for some teams that don't want to do the work to integrate with the REST API directly.
In my opinion, partitions inside of Azure Search don't count as data segregation for customers in a multi-tenant app, so any application where you have many customers with high-security concerns, Azure Search is probably a non-starter.
To elaborate on the multi-tenant issue: Azure Search's approach to pricing is pretty steep. While there is a free tier for small applications (50MB of content or less) the first paid tier is about 14x more expensive than the first SQL Database tier that supports full-text search. For many applications, it makes a lot more economic sense to just run some LIKE or CONTAINS queries on columns in a table rather than going with Azure Search.
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
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)
I give 10 rating because by using this endpoint and api key only we able to build that chatbot product in a timeline given by our client and also creating the endpoint and keys from the portal is also very easy for Azure AI Search and it doesn't take much time and also scalability is good.
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 :).
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.
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
It is good for me, and I want to rate this product 9/10. I hope they continue to improve and also offer a free plan with more benefits to learn Azure AI Search.
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.
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.
When integrated with our existing file system the Azure AI Search helped users tremendously by reducing search times and improve efficacy of intended result.
Since Azure AI Search is a PaaS solution, we had very short ideation to go-live timespan, which ended up reflecting in our product performance.
A rare but not negligible occurrence was correctness of search being questionable when new data was added to the system. The search returns false positive results.
