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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Appian
Score 8.2 out of 10
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Appian is a low-code development and business process management platform. It features drag-and-drop design for app building, automated work processes, unified data management, and cloud-based deployment.
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IBM Watson Discovery
Score 9.1 out of 10
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IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.
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Pricing
AlphaSense
Appian
IBM Watson Discovery
Editions & Modules
No answers on this topic
Appian Community Edition
$0
Application - Input-Only
$2
per month per user
Application - Infrequent
$9
per month per user
Application - Standard
$75
per month per user
Platform
Custom Quote Priced per user with unlimited apps.
minimum 100 users, no maximum
Unlimited
Custom Quote Priced per development with unlimited apps.
We use both CB Insights and AlphaSense for our work. While CB Insights is better suited for private companies, especially startups, AlphaSense is unmatched in its data for large, typically public companies and broader industry research.
Alphasense has a much broader coverage breadth, as it includes financial data, market data, private research, and expert interviews, while the others are more limited.
Compared to FactSet and PitchBook, AlphaSense is a good tool to fill my suite of financial analysis. Pitchbook is superior for private company and transaction data, as well as screening for similar companies (the sourcing feature of the job). FactSet is superior for financial …
I inherited AlphaSense access by joining my current role. AlphaSense's financial and deal information can not match pitchbooks. It does have better summarization for financial than pitchbook though.
I am not sure why you won't let me select EMIS Next, but that is a great tool with a lot of very good data that does not seem to be on your platform: Frost & Sullivan Mordor Intelligence
AlphaSense is simply the best software when it comes to finding information from publicly available documents and their access to sell-side research. While it has some room to go in terms of their access to financials, they've already made significant improvements and I'm …
I prefer to use both in conjunction; AlphaSense generally provides deeper insights, but I'm unsure if it is readily available or the newest (Market cap).
Search and analysis of public market data - analyst feedback and management commentary: I would prefer AlphaSense over other Quant analysis of market data / charting: I would prefer S&P for Excel Plugins PItchbook: Proprietary private market and VC data
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 …
I use TBR for totally different research. I use them for news about corporate direction, investment in technologies and executive leadership changes; M&A and corporate ventures; technology partnerships; and recent contract awards. AlphaSense gives deeper insights with Expert …
Experts calls can help you to decide whether or not invest in a company. can give you insights on culture which is not easy to find in Annual reports. Tegus is much better in summarizing experts calls as well as give you a summary of experts calls called TOP INVESTORS QUESTIONS …
AlphaSense has better document search but is otherwise vastly inferior in every other way. If doc search isn't important to you, I wouldn't bother with AlphaSense.
All of them are better than AlphaSense. However, Bloomberg is over twice as expensive, and people are just paying a premium for Chat (which I don't want). I have not used Factset for over three years. When I last used it, I would say that it was slightly better than AlphaSense …
I am a user of Appian, where we have a data connector application built in Appian that is integrated with various systems, and provide a summary in Appian UI. We as a user can initiate new requests to extract, Transform and Load data on a specific or selected system with just …
There are a lot of reasons to select Appian the first is low code. We can create various interactive data connectors applications also it is best in terms of security with an interactive user interface which makes it unique from the other platforms.
Appian's pricing model and co-selling is more interesting than that of Power platform. We used Appian because of its better case management and the learning curve is also not that huge. Power platform says it is Low code no code but it still requires certain some coding …
Appian compares favorably with other vendors in the space. It is strongest with business workflow automation and to create custom business applications. The tool base for coding is extremely straightforward and allows for faster coding and deployment. Handles very complex …
Have not used many BPM tools but we are using RPA to automate many technologies and business processes. We are also using Servicenow for incidents and change management.
Java is much more customizable but it is also a lot more work developing apps and setting up infrastructure. Appian is much easier to learn and code in. Also, apps are able to be built much quicker. This helps when time and money are an issue.
In the BPM space, there are a few areas that IBM BPM gives the flexibility to integrate different systems. Whereas in Cloud space [through] Appian has picked up, there are lot of features that Salesforce provide can be put in Appian
It has reduced our time to market because of the feedback we got early on. The smooth movements and easy flow create a vast difference. The team gets ample time to innovate and increase performance. Tasks are well performed in sprints and ready to release with fewer errors and …
I personally think Appian will win the discussion of pricing between itself and Microsoft Power Automate currently, but since I don't feel as though the average person would be able to learn how to automate processes on Appian, I have to give the nod to Microsoft Power Automate …
To be honest, I have not used any other software that is similar to Appian. I am used to just using raw code when it comes to creating an application. I find Appian very useful to use in this fast-paced industry, and when the client wishes to see the iteration of the project. …
I am not involved in evaluating different products. We have a specific team that is tasked with the responsibility of evaluating various products and choosing the one that is most appropriate for the organization. My team and I are the users of the products. Appian was the best …
We used custom BPM solutions in the past and find greater value in using Appian. I was not a part of the architecture team that reviewed other BPM solutions when Appian was selected.
Appian has a lesser learning curve than Pega. Pega uses a combination of directed and pattern inheritance and architects need to design bearing these in mind. While the intent behind this approach is to allow for reuse of rules to allow for efficient enterprise-wide design, …
I did not get chance to work on the other BPM tools but I am pretty sure that Appian will outstrip others in terms of Process Designing and Management, Scalability, Security, Performance and ease of use.
The main product that my company uses is Microsoft Teams. I think that Appian is far superior to Microsoft Teams in many aspects but the most significant is the ability to use easily and move from reports to reports. I far prefer Appian to Teams. The design is much better and …
Appian surpasses Microsoft PowerApps because of how much easier it is to code. I found Appian easier to code than the competitor because of how you could access the code behind the scene (SAIL). This allowed for even greater customization and helps with debugging when you have …
IBM Watson Discovery resulted more robust and performant, also the insights were much more interesting than just an AI search from Microsoft or a prompt for ChatGPT.
For starters, IBM Watson Discovery was very easy to use and set up. Google Cloud AI was more advanced in learning and navigating through it, in my opinion. Ironically, the free trial was the biggest selling point. We were trying on products, and it was faster to get started …
This is a unique application which provides automation comfortably and with the minimum of human interaction to create the perfect application for the client involved as generally there is a chance of someone else using the similar or slightly better tool
A edge of having a safe secure work environment where in organizations can make use of power of AI with no concern safe guard their data where IBM watson discovery provides hybrid cloud solution to mitigate the vulnerablity of data security.
To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the …
Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or …
In terms of performance, IBM Watson Discovery performs well and as expected compared to competitor offerings. Search works well Web crawl, content library creation, and 3rd party integration all possible The main driver for us is that we were already using other IBM …
IBM Watson Discovery for salesforce stacks up really well against the other products. It provides higher, better, and faster insight and capabilities than other options. We evaluated the return on investment and saw how great it would be to use for what we have. I think it has …
I have not found any other software solutions that can stack up against IBM Watson Discovery for Salesforce. This feature has proved nothing but beneficial for our bottom-line, as well as our customers'. I would recommend this solution to any company that heavily focuses on …
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.
Appian is well suited for the areas which involve a workflow. For Example: Consider there is a task and 3 teams are required to work on the task, with Appian we can create tasks for each team and monitor the comments and completion. Together with the integration capabilities, this tool can function in many areas. In our firm, we are using it to automate the workflows for our business teams and help them in capturing the OLA's and SLA's.
Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for use.
Allows at a glance workflow documentation which assists in the need we have for information readiation.
Drag and drop interface for workflow development greatly speeds our apps time to market.
Using the advanced features of Appian, we are able to create working sites in a fraction of the time it would take to do so using "traditional" development.
Search issues when type ahead and database search are used in the same field.
Buttons implementation where user is require[d] to click on the button description - if clicks on the button outside that text - button will not work.
Problems with using certain off-the-shelf performance tools like WebLoad or Neoload. That is because of different dynamic variables being used internally in Appian - which these tools are unable to correlate. We are still investigating using other tools like Jmeter to overcome dynamic correlation problem for performance testing.
I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
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
We recently renewed our license with Appian. We are convinced that its flexibility, relative ease of use, the support they provide, there mobile advancements and their general willingness and desire to see us succeed all contributed to our reason to renew our agreement with Appian
For my daily work AlphaSense is inevitable, as it holds a real added value compared to most of the CI platforms. It really makes my work more efficient and contributes to better strategy and decision making in the company. Datalog is available up to 15 years, which is a real advantage compared to other CI platforms that can only start competitor monitoring following the signature of the agreement.
There are many differences between using Appian and using other programming languages. Additionally, there are many trade offs that have to be made and that have to be accepted for using Appian. In some cases, you give up control of one small area, but in others, it may open settings that are unavailable to a developer when using other program languages.
IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
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.
Appian is one of the leading low code business automation platforms that support RPA, decision rules, case management, workflow automation, and machine learning all in a single bundle. But it is also harder to implement and replace the traditional business process.
Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
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.
As analyst I participated in a developer boot camp. At times it was hard to keep up but most of the time it made sense. Trainer took the time to explain and slowed pace down to answer questions etc.
Trainers address the basics, and such training was meant for new users. Instructions are really helpful by providing scenarios that our team will face in our daily tasks. It will be more thoughtful if the training is conducted by case studies so as to allow new users to get first-hand experience during the training.
Compared to FactSet and PitchBook, AlphaSense is a good tool to fill my suite of financial analysis. PitchBook is superior for private company and transaction data, as well as screening for similar companies (the sourcing feature of the job). FactSet is superior for financial analysis for public companies, as well as charting data. AlphaSense is superior in research for documents and deep dive industry research (mostly qualitative) and grabbing data from financial documents
Appian compares favorably with other vendors in the space. It is strongest with business workflow automation and to create custom business applications. The tool base for coding is extremely straightforward and allows for faster coding and deployment. Handles very complex process flows and has the ability to discover new opportunities for automation.
To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the ELK stack (Elasticsearch - Logstash and Kibana).
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.
Research speed has now increased to a single day, allowing us to find everything we want about an industry, compared to 3-5 days before with Alphasense.
Comps analysis, gathering detailed financial information, is now seamless and can be completed in less than 1 hour, compared to 1-2 days.
Expert interview access, before Alphasense, we had no way of including this into our analysis. This has significantly improved the quality of our decisions and research.
Our IT automated procurement process has sped up time to get paid by a few days on every transaction
Our approvals are more organized as a result of being put in digitally
Managing our own tenant requires more than we have available, given the quarterly updates
Since we have business-critical functions running in the platform, we have to thoroughly review every note of every update. Because of this we skip half of the updates since we don't have enough time to review these changes four times a year.
IBM Watson Discovery has had only positive impacts on our overall business objective of providing quality customer service and timely resolutions for our clients.
The use of this integration has made life easier for our customer service team, who can now resolve cases for customers quicker and easier.
Our company prides itself on the service and expertise we're able to provide for our customers and IBM Watson Discovery has only made that task easier for our employees to perform.