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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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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
Samuel Gudeman
Faster industry research has supported proposal preparation and now provides quick fact-based insights
Reviewed on Sep 23, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for AlphaSense is industry research. When we're going to write a proposal, we need to understand what the industry is, and AlphaSense helps me with that.
AlphaSense helps us gather a fact base, which is something I find most useful during proposal preparation.
What is most valuable?
The best feature AlphaSense offers is the ability to conduct research. The speed of the research tool is what makes it valuable for me. Speed is the main thing that stands out regarding AlphaSense's features. AlphaSense has positively impacted my organization by increasing the speed of research.
What needs improvement?
AlphaSense can be improved with more accurate data. Accuracy is the main thing I need regarding the required improvements.
For how long have I used the solution?
I have been using AlphaSense for three years.
What do I think about the stability of the solution?
AlphaSense is stable in my experience.
What do I think about the scalability of the solution?
The scalability of AlphaSense is good.
How are customer service and support?
Its customer support is good.
Which solution did I use previously and why did I switch?
I did not use a different solution before AlphaSense.
Which other solutions did I evaluate?
My organization did not evaluate other options before choosing AlphaSense.
What other advice do I have?
My advice to others looking into using AlphaSense is to spend time using it. I would rate this review an 8.
Badal P.
Powerful NLP Search and Smart Synonyms, but Pricey and Takes Training
Reviewed on Sep 17, 2026
Review provided by G2
What do you like best about the product?
Its natural language processing decrypts the complex business language in a fine way, the AI-powered smart synonyms correctly capture relevant variations of search terms so I do not miss critical information.
What do you dislike about the product?
The high cost is the main reason I dislike it. Also, using some of its advanced features can require formal training at times.
What problems is the product solving and how is that benefiting you?
It helps me with proactive regression and performance mapping when my product integrates with third-party software. It also helps me monitor vendor roadmaps, so I can build proactive regression tests to protect my platform from sudden updates or breaking API changes.
Health, Wellness and Fitness
Major Time Saver, Though Some Search Results Feel Irrelevant
Reviewed on Sep 12, 2026
Review provided by G2
What do you like best about the product?
Saves time. All business-related searches are much easier now, and it has massively cut down on my research time.
What do you dislike about the product?
Sometimes I feel irrelevant results popup specifically for the cases where there are lesser sources available
What problems is the product solving and how is that benefiting you?
Its solving the research problem in the business world and making the research process faster
Sumeet S.
Great Platform for Business Intelligence and Research
Reviewed on Sep 10, 2026
Review provided by G2
What do you like best about the product?
The most helpful aspect of AlphaSense is how quickly it helps me find and understand relevant business and market information. Its AI-powered search and summaries cut down the time I would otherwise spend manually sorting through large volumes of content. I find it especially useful for researching companies, spotting industry trends, and pulling together insights in one place, which ultimately makes my research and decision-making more efficient.
What do you dislike about the product?
The main downside is that AlphaSense can take some time to learn, especially when you start using its more advanced search and filtering features. With so much information available, it can feel overwhelming at times, and searches often need a bit of refinement to surface the most relevant results. The AI-generated insights are helpful, but I still prefer to verify anything important against the original sources.
What problems is the product solving and how is that benefiting you?
AlphaSense cuts down the time and effort needed to find, analyze, and monitor market and company intelligence, helping teams make better-informed decisions more quickly.
Industrial Automation
AI Search Keeps Improving and Delivers Real Value
Reviewed on Sep 09, 2026
Review provided by G2
What do you like best about the product?
The AI search is getting better. It would be great if more companies were included, especially those that are listed on their respective countries’ stock exchanges. That would be nice.
What do you dislike about the product?
Extracting the chat or tables is still not very user friendly. That could be made better and easier.
What problems is the product solving and how is that benefiting you?
Gives all information in one place. Searches all topics needed. Example - price increase in certain products, impact of the trade tariffs etc..