Sold by: AlphaSense
Deployed on AWS
Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
4.6
Overview
AlphaSense is an AI platform powering smarter, faster decisions for financial & business professionals. Trusted by 6,000+ of the worlds largest companies and financial institutions, AlphaSense combines domain focused agentic AI with the industrys most comprehensive content set over 500 million premium documents, including equity research, earnings calls, Tegus expert insights, filings and news, alongside internal proprietary data. AlphaSenses suite of AI tools includes a Deep Research agent which can perform dozens of searches, parse through thousands of potentially relevant results, and reason over all of it to produce comprehensive, detailed analysis about any topic. If you would like to discuss custom terms and pricing with our team, please contact us at alphasense-marketplace@alpha-sense.com .
Highlights
- Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content - including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
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Dimension | Description | Cost/12 months |
|---|---|---|
Basic access | Contact us directly for Private Offer pricing | $20,000.00 |
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Updated weekly
By AlphaSense
By John Snow Labs
By hyScore.io
Top
10
In Research
Top
10
In Image, Text
Top
10
In Names Entity Recognition - NER, Sentiment Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Agentic AI Architecture
Domain-focused agentic AI designed to perform multiple sequential searches, parse thousands of results, and reason over comprehensive datasets to produce detailed analysis.
Comprehensive Content Library
Access to over 500 million premium documents including company filings, earnings call transcripts, equity research, news, trade journals, and expert interview database.
Multi-Source Data Integration
Synthesis of insights from public and private content sources including company filings, event transcripts, news, trade journals, expert transcripts, and equity research.
Deep Research Agent Capability
Automated research tool capable of executing dozens of searches, filtering through thousands of potentially relevant results, and generating comprehensive analysis on specified topics.
Internal Data Integration
Support for combining external premium content with internal proprietary data for enhanced analysis and decision-making.
Domain-Specific Pre-trained Models
Access to 1000+ pre-trained models tuned for Finance and Legal verticals, covering entity recognition, entity linking, relations, assertions, text classification, and de-identification tasks.
Scalable NLP Library
Spark NLP library offering 700+ embeddings and 11,000+ pretrained models with support for entity recognition, information extraction, text classification, and translation across multiple languages.
Visual Document Processing
Visual NLP (OCR) software enabling form understanding, table detection and extraction, document classification, entity recognition, signature detection, and image de-identification on unstructured documents.
Finance Domain NLP Capabilities
Finance NLP models supporting financial text classification, financial sentiment analysis, financial Named Entity Recognition, entity-linking to databases such as Edgar and Crunchbase, and financial relation extraction.
Legal Domain NLP Capabilities
Legal NLP models covering Named Entity Recognition, clause information extraction, legal clause classification, legal relationship extraction, entity linking, and legal de-identification across 300+ state-of-the-art models in multiple languages.
Natural Language Processing Capabilities
Named Entity Recognition (NER), keyword extraction with weighted scoring, and text extraction from multiple digital sources
Content Categorization and Classification
Over 750 weighted and scored categories including IAB taxonomy support for website and content classification
Sentiment and Tonality Analysis
Sentiment and tonality detection for analyzed text content
Multi-Language Support
Support for 20+ languages including Chinese, Czech, Dutch, English, Finnish, French, German, Hindi, Hungarian, Italian, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, and Vietnamese
Real-Time Processing and Scalability
High scalable NLP solution capable of real-time analysis and batch processing with structured JSON response output
Standard contract
No
No
No
Customer reviews
Omkar Singh
Research workflows have become faster and competitive insights are now consolidated efficiently
Reviewed on May 16, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for AlphaSense is market research, competitive intelligence, and quickly searching through earnings calls, filings, and industry reports.
A specific example of how I use AlphaSense for market research and intelligence is tracking competitor mentions in earnings transcripts and identifying market trends faster using keywords, alerts, and AI-powered search.
Additionally, I have found that AlphaSense is useful for consolidating research from multiple sources into one platform, which saves significant time during analysis.
How has it helped my organization?
AlphaSense has positively impacted my organization by helping us speed up research workflows, improve competitive analysis, and reduce the time analysts spend manually reviewing reports and earnings calls.
We have reduced research time by approximately 30 to 40%, especially when reviewing earnings transcripts and industry reports, allowing an analyst to process far more documents in the same amount of time.
What is most valuable?
The best features AlphaSense offers are its AI-powered search, smart synonyms, earnings call transcript search, real-time alerts, and document summarization tools, which make it much faster to find relevant insights across large amounts of research content.
The AI-powered search in AlphaSense helps me find relevant mentions even when different terminology is used, and the summarization tool saves me time by quickly highlighting key points from long earnings transcripts or analyst reports.
The alerting system is useful because it keeps us updated on competitors, industry keywords, and company filings without needing constant manual monitoring.
What needs improvement?
AlphaSense could improve its dashboard customization and make some advanced filtering options more intuitive for new users.
Pricing can also be high for smaller teams, so more flexible licensing options would make the platform easier to scale across departments.
For how long have I used the solution?
I have been using AlphaSense for one year.
What do I think about the stability of the solution?
AlphaSense has been very stable for us overall, as its search performance and platform uptime have generally been reliable even during heavy research periods. Scalability has also been strong, handling large volumes of users, transcripts, filings, and research data without major performance issues as usage grows.
How are customer service and support?
The customer support for AlphaSense has been good overall; the team is responsive and knowledgeable, especially during onboarding and research-related questions, although some complex requests can still take time to resolve.
I would rate the customer support for AlphaSense around 8 out of 10, as they are generally responsive and helpful, especially for onboarding and platform guidance.
Which solution did I use previously and why did I switch?
Before AlphaSense, we relied more on manual research using Bloomberg, Google searches, and separate news databases, but we switched to consolidate research and improve search efficiency with AI-driven insights.
What was our ROI?
I have seen a return on investment mainly through time savings, as analysts spend roughly 30 to 40% less time searching through reports and earnings calls, which has improved research turnaround without needing to expand the team.
Which other solutions did I evaluate?
Before choosing AlphaSense, we also evaluated Sentieo, Bloomberg Terminal , and FactSet .
What other advice do I have?
I would recommend spending time setting up good keyword strategies and alerts early on because AlphaSense becomes much more powerful once it is tailored to your specific research needs.
AlphaSense has become a core part of our research workflow, especially for speeding up competitive intelligence and making information gathering much more efficient. I would rate this review an 8 out of 10.
Evans Vasavan
AI-driven research has transformed financial analysis and now saves hours in daily industry tracking
Reviewed on May 04, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for AlphaSense is to analyze competitors and track industries that have been present to find insights in a huge volume of data quickly.
A specific example of how I have used AlphaSense in my day-to-day work is that it has been majorly used in finance since it is identified as an AI tool. The detection of this particular AI engine is excellent. To search anything from this particular keyword, I can easily find all the data, the old data, the financial data, and the data which has been used for research tools, which makes more sense.
What is most valuable?
The best features AlphaSense offers are market research, smart search, sentiment analysis, watch lists and alerts, and collaboration tools for teams. These are the key features I use on a daily basis.
I personally find the best feature of AlphaSense to be its use of artificial intelligence and the ability to access private research reports in their databases, which has positively impacted my organization by saving time on routine tasks.
AlphaSense has positively impacted my organization, and it has been excellent from the AI engine point of view, defining accuracy and usefulness to analyze in a particular platform and allowing deep research in the organization, which has really helped me. Additionally, with the Excel API, I can extract information through the Excel plugin.
I have noticed improvements in decision-making speed, as it was taking three hours to analyze and manage the data, but thanks to AlphaSense, it is now done within a fraction of minutes.
What needs improvement?
I would improve the Excel plugins, which are already present. The integration with Excel needs enhancement.
For how long have I used the solution?
I have been using AlphaSense for about two years.
How are customer service and support?
5
What other advice do I have?
My advice to others looking into using AlphaSense is to take a proof of concept of this particular artificial intelligence engine, as I am confident that the work on daily routine tasks will be minimized.
I chose a rating of nine out of ten because I think the integration with the Excel plugin should directly relate to the data. If the integration were easier, I would definitely give a perfect ten.
I purchased AlphaSense through the AWS Marketplace .
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Divyanshu Shukla
Identified strategy shifts earlier and now gain faster insights for market and competitor research
Reviewed on Apr 28, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case is to use AlphaSense for market and competitive intelligence, which helps me to track competitors like financial performance, strategy changes, or product launches. This helps my team to stay ahead of competitors and it is helping us to do research and analysis.
I had a scenario where AlphaSense helped me track a competitor's strategy shift early. My team was monitoring a key competitor in our industry to understand if they were planning a new product launch, pricing change, or expansion into a new market. This helped us to conduct smart searches across multiple sources and it has provided AI-based insights.
How has it helped my organization?
AlphaSense has positively impacted my organization, and I have seen a significant time saving in research, about fifty to seventy percent.
The time saving from using AlphaSense has improved the productivity of the users and provided faster turnaround on business requests.
What is most valuable?
The best feature of AlphaSense, in my point of view, is its AI-powered smart search, which searches across millions of documents and uses AI to understand the meaning. It is very useful and also provides real-time alert and monitoring.
The real-time alerts from AlphaSense have helped my team significantly. I configured alerts for a key competitor, specific keywords, and industry trends, so anytime new content appears, I get notified immediately.
What needs improvement?
From my point of view, AlphaSense is a really great and powerful solution, and as of now, I do not see any improvement needed.
One area for improvement could be the high compute requirements for larger data sets that need to be improved.
For how long have I used the solution?
I am using AlphaSense for almost more than four years.
What do I think about the stability of the solution?
AlphaSense is stable.
What do I think about the scalability of the solution?
AlphaSense's scalability is excellent. It is a very scalable solution.
How are customer service and support?
The customer support for AlphaSense is technically rich and supportive. I would rate the customer support a nine on a scale of one to ten.
Which solution did I use previously and why did I switch?
I have not switched from a different solution. I am using AlphaSense since the start.
How was the initial setup?
The deployment of AlphaSense in my environment was easy, mainly because it is a cloud-based platform, with no heavy infrastructure that needs to be set up, leading to a quick initial setup.
My experience with the configuration process was straightforward, and I did not face any challenges.
What about the implementation team?
My experience with the procurement process was easy, as I did not face any challenges due to the great support from the vendor team.
What was our ROI?
I have seen a return on investment, as time and money were really saved because of faster decisions and improved insight quality.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was also easy and straightforward, with no complexities in licensing. It is very simple.
The metering and billing experience has been fairly straightforward and predictable.
Which other solutions did I evaluate?
Before choosing AlphaSense, I have not evaluated other options.
What other advice do I have?
I rate AlphaSense a five on a scale of one to five. I choose a five for my rating because I think AlphaSense is a very powerful solution that provides great analysis in the competitive environment. My advice for others looking into using AlphaSense is that it is highly recommended for any company that has a competitive environment from other competitors, as it can be used for marketing research, financial analysis, and competitive intelligence by providing fast access to companies' data. My overall review rating for AlphaSense is five.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2818035
AI research has transformed how I analyze filings and save hours on report creation
Reviewed on Apr 19, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for AlphaSense is to pull the history of filings directly from AlphaSense , and I also use it extensively to generate research reports with AlphaSense's artificial intelligence.
A specific example of how extracting the history of filings has helped me in my daily work is that it saves me a lot of time because without AlphaSense I would have to open file by file and manually find the data. Instead, with AlphaSense it gives me the historical record of all the data for the same metric very easily and quickly.
What is most valuable?
The best features that AlphaSense offers are the artificial intelligence and the ability to access private research reports that are in their database.
I would describe the accuracy or usefulness of the analyses that the platform provides me as pretty good since it can do deep research.
AlphaSense has positively impacted my organization by saving time on routine tasks.
I estimate that I manage to save about three hours weekly thanks to AlphaSense.
What needs improvement?
AlphaSense could improve by incorporating an Excel API so that I can extract the information more easily directly with an Excel plugin.
I would like the platform to offer more integration options with other tools that I already use in my organization.
I would like Excel to be integrated directly with AlphaSense.
For how long have I used the solution?
I have been using AlphaSense for two years.
What do I think about the stability of the solution?
I consider AlphaSense to be stable in its daily operation.
What do I think about the scalability of the solution?
I perceive the scalability of AlphaSense as good; I think it can adapt well if my organization grows or my needs change.
How are customer service and support?
I would rate AlphaSense's customer support as not notable because I have not had any experience.
My advice to other people who are considering using AlphaSense is to explore the platform; the AI part is very useful, and if they can schedule a call with customer service so they can receive an initial demo of the platform, that would be very beneficial.
Which solution did I use previously and why did I switch?
I did not previously use another solution; AlphaSense is a complement that we are starting to use.
Before choosing AlphaSense, we did not evaluate other options, and I would not know since I do not make that decision.
How was the initial setup?
My experience with the costs, initial setup, and licensing of AlphaSense is that it could be faster. Regarding the initial setup, it was quite easy, and I would not know about the costs.
What was our ROI?
I have seen a return on investment with AlphaSense in terms of time savings.
Kayde Robert
Research management has transformed our earnings work and consistently saves over half our time
Reviewed on Apr 10, 2026
Review from a verified AWS customer
What is our primary use case?
AlphaSense is used by the Motley Fool's investing team as a research management system. My team uses AlphaSense in research management by building in AI to gather insight on conferences. My team also uses AlphaSense for quarterly earnings reports and material news related to the companies.
What is most valuable?
AlphaSense handles image and screen captures very well. The imaging screen capture feature helps my team in practice by making research notes more useful. Another valuable feature that AlphaSense offers is AI summaries of earnings reports. AlphaSense has positively impacted my organization by allowing us to publish notes in the system to ensure everyone has the latest thinking from coverage analysis.
What needs improvement?
AlphaSense can be improved by having a mechanism to add comments inside my own notes. I also believe AlphaSense could benefit from a mechanism for uploading documents. I give a rating of 9 out of 10 for these reasons.
For how long have I used the solution?
I have been using AlphaSense for five years and two months.
What do I think about the stability of the solution?
AlphaSense is stable.
What do I think about the scalability of the solution?
AlphaSense is very scalable.
How are customer service and support?
The customer support for AlphaSense is very supportive.
Which solution did I use previously and why did I switch?
I previously used Airtable as a research management solution before switching to AlphaSense.
What was our ROI?
I have seen a return on investment in terms of time saved. A specific outcome that shows how AlphaSense has helped my team is that it has saved our team between 40 to 55 percent of our time.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was that it was cost-effective and friendly.
Which other solutions did I evaluate?
Before choosing AlphaSense, I evaluated other options such as Slack.
What other advice do I have?
My advice for others looking into using AlphaSense is that it is very well suited for investigative teams that need a research management system that has a robust database and rich content management features for note-taking. I give AlphaSense an overall rating of 9 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud