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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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Basic access | Contact us directly for Private Offer pricing | $20,000.00 |
Dimensions summary
This listing offers one pricing dimension: Basic access billed per user. You buy through a contract, and the price is set through a Private Offer rather than shown publicly. To get a quote, you contact the vendor directly, and they tailor terms to your organization's size. Because pricing is quoted privately, the number of user seats and the contract terms are agreed with the vendor. There are no separate tiers or usage add-ons to select on the Marketplace itself.
Top-of-mind questions for buyers
One user is one named seat, or login, on the platform. Each person who accesses the platform requires their own seat. The vendor sets the seat count with you when preparing your Private Offer, so you commit to a specific number of user seats.
Basic access gives each user AI-powered search and summarization across a library of external documents, including regulatory filings, broker research, expert transcripts, news, and company data. You also get live help and virtual or in-person training. Access to internal company documents is not part of this dimension.
Basic access is a contract billed per user, agreed through a Private Offer. You commit to a seat count and term with the vendor rather than paying by consumption. There are no separate usage meters or add-on tiers to select on the Marketplace itself.
www.alpha-sense.com
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Delivery details
Software as a Service (SaaS)
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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 through 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 publications, trade journals, and expert transcript database.
Deep Research Agent Capability
Automated research tool capable of executing dozens of searches, filtering potentially relevant results, and generating comprehensive analysis on specified topics.
Enterprise-Scale Deployment
Platform infrastructure supporting 6,000+ organizations including major companies and financial institutions with integration of internal proprietary data.
Scalable NLP Library with Pre-trained Models
Spark NLP Enterprise library offering 700+ embeddings and 11,000+ pre-trained models with scalable, trainable versions for tasks including Entity Recognition, Information Extraction, Text Classification, and Translation.
Domain-Specific Financial NLP Capabilities
Finance NLP software and models enabling financial text classification, financial sentiment analysis, financial Named Entity Recognition, entity-linking to databases such as Edgar, Crunchbase, and Nasdaq, assertion status inference, relation extraction, and financial de-identification.
Domain-Specific Legal NLP Capabilities
Legal NLP software and models covering Named Entity Recognition, Information Extraction on clauses, Legal Clause Classification, Legal Relationship Extraction, Entity Linking, Legal De-identification, Assertion Status, and Relation Extraction with access to over 300+ state-of-the-art models in multiple languages.
Visual Document Processing and OCR
Visual NLP software and models enabling form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, DICOM to text conversion, signature detection, and image de-identification.
Pre-configured Development Environment
Jupyter Lab pre-installed with ready-to-use Jupyter notebooks for text and image analysis tasks, Spark NLP Display library for annotation visualization, and John Snow Labs Python library for model and pipeline testing with single-line code execution.
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 with IAB taxonomy support for website and content classification
Multi-Language Support
Language detection and processing capabilities across 20 languages including Chinese, English, French, German, Spanish, and others
Real-Time Structured Output Processing
Real-time analysis delivered as structured JSON responses for automated downstream processing and batch processing capabilities
Standard contract
No
No
No
Customer reviews
Wicklife Womon
Centralized research has transformed fragmented data into faster, more confident decisions
Reviewed on Oct 12, 2026
Review from a verified AWS customer
What is our primary use case?
I use AlphaSense in my daily job activity, and some of the standout points I would like to highlight are what I appreciate most about AlphaSense regarding how it transforms an overwhelming amount of market and business information into clear, actionable insights that help us make data-driven decisions very easily.
I also appreciate the combination of a huge content library, powerful AI search, and cited answers, which makes the research significantly faster while still allowing us to verify the underlying sources. I am especially impressed by how AlphaSense brings external market intelligence and our company knowledge together in one workflow. This really helps my team move from finding information to making better decisions more efficiently.
AlphaSense is a very helpful platform in my organization because it is helping us solve the problem of fragmented, time-consuming research. Instead of manually searching through filings, earnings calls, expert interviews, analyst reports, news, and internal documents, I can find and synthesize relevant information in one place. The AI-powered search and summarization tools from AlphaSense help me get to the key insights much faster, while source-level citations make it easier to validate what I am seeing.
How has it helped my organization?
Through the insightful analysis, AlphaSense helps us make good decisions and enables faster decision-making, saving time during the research phase. It has also been a very helpful tool because it saves considerable time on secondary research. The feature to download reports for analysis is good and useful.
I do not have a tangible number, but I can say that AlphaSense appears to have been good value as a research management tool. We probably would have spent at least as much as our annual subscription fee to build something a fraction as good. AlphaSense AI has also been quite useful in that it is highly targeted at the set of financial data I need. The AI is far from perfect, especially when evaluating a multi-quarter set of data, but it tends to at least source data I would not find on my own.
What is most valuable?
Some of the best features that I have encountered and love using in my daily use cases are the synthesis and aggregates, effective AI summarization, and intuitive and efficient search functionality.
The feature I rely on the most is how it has been able to centralize and summarize updates about customers and competitors or peers, helping us save considerable time when we need to report on earnings, news, events, and even new markets or opportunities that we need to familiarize ourselves with quickly and objectively.
The user interface is great and very intuitive, and I also appreciate the help desk, which is very responsive and helpful.
Regarding the AI features, I feel the governance and security is actually one of the things I feel most confident about. I trust how my data is handled because there appears to be a clear framework around it.
I find the accuracy and reliability of the output to be very strong and overall consistent, as it has been consistently accurate and highly useful in my experience.
What needs improvement?
Having consensus tracking would be greatly welcomed.
If I had to pick another area for improvement, it would be the learning curve. AlphaSense is incredibly powerful, but the breadth of features and information can sometimes feel overwhelming, particularly for new users.
For how long have I used the solution?
I have been using AlphaSense for the past two years.
What do I think about the stability of the solution?
AlphaSense is a very stable platform, as we have experienced less downtime.
What do I think about the scalability of the solution?
AlphaSense has been very scalable when we have a lot of users and when the data increases; it is able to handle it perfectly. Overall, it is a very scalable platform in my case.
How are customer service and support?
We have been able to reach out to the customer support team quite a number of times, and they have been very responsive and helpful, solving our issues on time. I rate the customer support nine out of ten.
Which solution did I use previously and why did I switch?
We did not switch from any other tool.
How was the initial setup?
The initial setup is not usually very easy and straightforward for new users; it is a bit tough and requires some guidance, training, and practice to get accustomed to it.
What was our ROI?
Overall, AlphaSense is a premium product, but the time saved on research and the ability to quickly access and synthesize high-quality information make it worthwhile. The biggest return on investment that we have noted while using this platform comes from spending less time searching through multiple sources and more time on analysis and decision-making.
Using AlphaSense has helped me simplify searching through vast amounts of information, making it easier to track competitor communication and filings. I also appreciate the wide source coverage, reducing fragmented research by consolidating multiple logins into one platform. I am able to make data-driven decisions more easily, and I am more accurate by approximately eighty percent.
What's my experience with pricing, setup cost, and licensing?
We purchased AlphaSense through the AWS Marketplace. The pricing, setup cost, and licensing are manageable and fair.
Which other solutions did I evaluate?
We were able to evaluate one tool called Crunchbase.
What other advice do I have?
AlphaSense is a major time saver for our research workflow, and I never miss critical market insights. It is a highly recommendable tool because it is a very efficient tool for gathering investor relations and earnings insights. I also appreciate the embedded AI tool, which is quite functional in providing additional information and summaries that contain critical information that human eyes might easily miss. I rate AlphaSense four out of five.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Gayathri R.
All Documents at Your Fingertips for Faster Research
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
I like that every document is available and I can simply ask the tool to refer to select documents and help me with research.
What do you dislike about the product?
I would like the response to also include visuals instead of just text
What problems is the product solving and how is that benefiting you?
Helping me prepare quarterly earnings summaries effectively
Stephanie L.
Great Data Access and Innovation, but Occasional Output Errors
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
Access to data and information I would not otherwise be able to have. Continuous improvement and innovation of products.
What do you dislike about the product?
I still find errors or misinterpretations in outputs
What problems is the product solving and how is that benefiting you?
Faster research across multiple markets
Fernando C.
Rich Market Data Integrations and AI Tools All in One Place
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
The integrations of all the rich market data with AI tools in a single place.
What do you dislike about the product?
It’s difficult to bring inside organizations with a lot of security concerns with internal data.
What problems is the product solving and how is that benefiting you?
Its making more efficient the process to keep track of changes in the market caused by big players
Benjamin F.
Impressive Generative AI That Enhances My Analysis
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
I am impressed with the generative Ai function and routinely use it for my analysis
What do you dislike about the product?
Sometimes takes a bit of time to think. The email alerts after the report is ready comes handy for the long wait
What problems is the product solving and how is that benefiting you?
The superanalyst that uses natural language solves prompt challenges