Accern

Overview
News
Natural Language Processing Tools?
Alternative Data?
Capital Markets Tech?
Product stageSegments
Expansion
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Document analysis
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Accern is a provider of a no-code natural language processing (NLP) platform designed for the financial services industry. The company's platform enables organizations to extract insights from unstructured data sources such as news articles, social media, industry reports, and internal documents. Accern's solution incorporates artificial intelligence (AI) and machine learning (ML) technologies to analyze and process large volumes of text data rapidly. The platform includes pre-assembled datasets, pre-built taxonomies covering over 60,000 companies and 250 themes, more than 250 pre-trained ML/NLP models, and pre-integrated dashboards. Users can deploy Accern's end-to-end AI/ML/NLP workflows to gain insights for various applications, including equity research, credit risk assessment, M&A activity tracking, ESG performance evaluation, insurance claims processing, fraud prevention, market intelligence, and sanctions monitoring. The company positions its platform as a faster alternative to training neural networks from scratch, allowing users to customize algorithms for specific requirements in minutes without coding expertise. Accern's platform also features a tool that enables users to specify data points for algorithms to search within unstructured information. As of May 2022, Accern reported that its annual recurring revenue had grown by a factor of nine since 2020.


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Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
250 Greenwich Street 7 World Trade Center New York NY USA
Founded year:
2014
Employees:
51-100
IPO status:
Private
Total funding:
USD 34.8 mn
Last Funding:
USD 20.0 mn (Series B; May 2022)
Last valuation:
USD 13.3 mn (May 2017)
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