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.
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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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
What counts as one user for the Basic access per-user billing?
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.
What does Basic access include on the platform?
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.
How is Basic access billed, and is there any usage-based charge?
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.
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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
Streamlined pharma intelligence has transformed how my team delivers faster, deeper insights
Reviewed on Sep 30, 2026
Review provided by PeerSpot
What is our primary use case?
I have been using AlphaSense for almost five years, and I find it to be one of the best tools for my competitive intelligence pharma forecasting projects. I also use AlphaSense within primary market research, secondary market research, to hear about analyst commentary, to look on the company website, and investor documents, as well as to track company events hosted by big pharma players such as AstraZeneca and Roche. We get transcripts and ready reckoner transcripts on AlphaSense, which are really helpful for our projects.
My main use case for AlphaSense involves obtaining a curated list of company documents organized year-wise, month-wise, and quarter-wise. Secondly, I use AlphaSense to take curated transcripts for all the sessions and events hosted by the big pharma companies. Third, I use AlphaSense for its AI component, which allows me to ask a question and receive an AI-based answer. I rely on AlphaSense for these three types of queries.
In a recent project focused on competitive benchmarking, we aimed to benchmark four competitors, four big pharma players, by covering their competitive intensity, pipeline, portfolio tracking, news, and alerts monitoring. Ultimately, we needed to provide strategic recommendations to our client within the lung cancer space, and in this oncology tumor project, I used AlphaSense to have all the updated data, including all the filings for the four competitors, company events, investor presentations, and the recent conferences. Every data point, along with the data source, was sourced through AlphaSense.
In another use case while working on the clinical trial pipeline, we found a list of products and had to prioritize the top three assets from that list. From AlphaSense, we found the latest trial result that was not available even on secondary resources or the company website. We found this information in one of the analyst reports covered by AlphaSense, where we discovered the data of a failed trial, which was a key point as we removed that asset from our client's final deliverable.
How has it helped my organization?
AlphaSense has positively impacted my organization by saving a substantial amount of man hours when we calculate the time spent working on a project. It has also increased productivity, as the time required to search for data from secondary domains or company websites has reduced by almost 60%. For instance, if we needed to complete a project in two weeks, including data mining, we can now finish it in approximately one week, making a significant enhancement in productivity and time savings at an organizational level.
This time savings and productivity boost have significantly improved our team and client relationships. For example, previously, if our team was allocated one project, they would only focus on that due to time constraints and strict quality delivery. Now, because a lot of time is saved and productivity is enhanced, we are able to work on multiple projects within the same timeframe, which has transformed our workflow and outcomes.
What is most valuable?
The best features offered by AlphaSense include the chronological order of all curated databases for reports and documents company-wise, its comprehensive coverage of almost all private and public pharma companies, and its ability to cover the most recent transcripts quickly after events. Lastly, I particularly appreciate the analyst AI component, which allows me to interact with AlphaSense and receive insights combining human and AI intelligence. These four features stand out to me the most in AlphaSense.
One thing I wish more people knew about AlphaSense is that it is a complete database in itself. If a company has a subscription to this tool, I do not believe additional subscriptions are needed, such as EvaluatePharma, Data Monitor, Cortellis, or any other database, because AlphaSense covers all the key metrics and KPIs needed for any pharma project.
AlphaSense's AI capabilities are significant, and I believe the data we receive is very much secure and relevant, aligning well with the questions and prompts we enter into the database. AlphaSense has consistently provided me with good results, and I do not recall any instances of data conflicts or mismatches in the information. It has been accurate.
What needs improvement?
Currently, I do not see any challenges or pain points with AlphaSense because I have access to a 24/7 support team. We receive all the up-to-date data and key metrics in one place. However, one area for improvement could be the coverage of additional metrics, such as patents, as legal or regulatory information is somewhat less available on AlphaSense at this time.
Regarding needed improvements, I think it would be beneficial if AlphaSense could integrate additional data sources, such as USPTO, Espacenet, and European patent data. This would allow us to avoid searching on legal patent websites and find everything we need within AlphaSense itself.
What do I think about the stability of the solution?
My experience with AlphaSense indicates it is stable, and I have not encountered any downtime or technical issues, especially with the 24/7 support team available to address all our queries.
What do I think about the scalability of the solution?
AlphaSense handles growing workloads and more users smoothly in my organization.
How are customer service and support?
I have had multiple interactions with the customer support team, and they are very helpful and knowledgeable, solving all my queries promptly. I would rate customer support a perfect 10.
Which solution did I use previously and why did I switch?
Before AlphaSense, we used EvaluatePharma, Data Monitor, Cortellis, and AdisInsight. We made the switch to AlphaSense after COVID due to its AI component and the new features that prior databases did not offer.
What was our ROI?
I have seen a return on investment with AlphaSense, particularly in the metric of time saved. Since time was saved, the need for hiring additional people also reduced.
What's my experience with pricing, setup cost, and licensing?
Regarding my experience with pricing, setup costs, and licensing, I am not heavily involved at the organizational level. However, when we join a new company, such as when I was with BioXcel and CoreSight, we automatically receive login IDs and credentials from the AlphaSense team since our organization has a subscription.
Which other solutions did I evaluate?
We evaluated other AI-based tools such as Claude, Perplexity, and NotebookLM before choosing AlphaSense, which we found to be more authentic, life science-focused, and reliable in terms of data for the pharma and healthcare industries.
What other advice do I have?
I would rate AlphaSense a nine out of ten. I gave it a nine out of ten due to usability factors that prevent me from giving it a perfect score, but a nine works for me. One piece of advice I offer to those considering AlphaSense is to participate in the training session, as the AlphaSense team provides an introductory meeting to new users. Having a thorough knowledge of all the features and support available is crucial for maximizing the utility of this software. My overall review rating for AlphaSense is nine out of ten.
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.