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AlphaSense

by AlphaSense

AI Service
Low Confidence

AlphaSense is an AI-powered market intelligence and search platform designed for financial services, corporations, and professional services firms. It leverages natural language processing (NLP) and machine learning to analyze large volumes of unstructured data, including company filings, earnings call transcripts, news, research reports, and expert commentary. The platform provides users with actionable insights, trend analysis, and competitive intelligence to support decision-making in areas such as investment research, corporate strategy, and risk management. AlphaSense also offers features like smart synonyms, sentiment analysis, and custom alerts to enhance search efficiency and accuracy.

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Transparency Score

Weighted across four pillars · updated April 22, 2026

Overall grade
33% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Text Generation
Summarization
Search
Sentiment Analysis
Trend Analysis
Data Aggregation

Vendor Information

Complete information about the vendor/provider of this AI application

AlphaSenseView all products →
AlphaSense, Inc.(Trading as: AlphaSense)
Contact Information
www.alpha-sense.com/
support@alpha-sense.com
+1 646-783-1995
Registered Address
24 Union Square East, New York, NY, 10003, US

EU AI Act Provider Information

Verification Status:
Unverified
AlphaSense, Inc.(Trading as: AlphaSense)
24 Union Square East, New York, NY, 10003, US
support@alpha-sense.com+1 646-783-1995
Compliance Documents
CE Marking: Not Applicable
AlphaSense claims its generative AI tools are continuously monitored for compliance, accuracy, and security, with real-time audits described as ensuring adherence to its information security policy. The company states it employs a human expert team to evaluate models and refine AI pipelines, aiming for a 98% citation accuracy rate to minimize errors in outputs. It describes using strict access controls and encryption for its retrieval systems, asserting that this prevents unauthorized data exposure or model training on client queries. Users are described as having visibility into their own activity, with the ability to clear histories or opt out of storage, reinforcing described transparency and control over data.
Errors or misinterpretations can occur, particularly in complex financial, legal, or technical contexts. Additionally, there is a lack of transparency in the types of models used.

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

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Added: April 22, 2026
Updated: April 22, 2026

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