With coverage of five million private and public companies and a data lake of 20 billion articles in over 100 languages, SESAMm provides powerful insights to corporations and enables them to make business decisions confidently.
Explore 90 pre-built and adaptable ESG risk categories, UN Global Compact, and UN SDG-based positive impact statistics, making TextReveal an all-encompassing sustainability-tracking solution.
Access five million private and public companies of all sizes, including microcaps that provide coverage extending to companies’ suppliers, brands, and clients with our off-the-shelf knowledge graph. Plus, identify insights in over 100 languages.
NLP tools trained on a representative sample selected from billions of articles that understand business terms and interpret slang, misspellings, and textspeak, so you don’t miss an opportunity.
Access article and sentence-level data that forms the basis of SESAMm’s volume and scores to explore causes and responses.
Data-based insights on private companies are hard to attain through traditional methods. Nevertheless, online data exists, and SESAMm's TextReveal makes extraction and analysis possible through artificial intelligence. Dramatically enhance visibility into your company and the companies you work with. TextReveal enables you to monitor ESG controversies, UN SDG positive impact events, and general sentiment on:
Our most robust and flexible solution, TextReveal API, enables data scientists to create, maintain and update their own insights. Our 20 billion article data lake holds information for five million public and private companies in over 100 languages.
Daily ESG and sentiment email alerts to monitor controversies of all the companies that matter to you
Ready-to-use SaaS dashboards with fully transparent and auditable results
API for extracting data and generating NLP analytics as if using an in-house system but without data ingestion or computing hassles
SESAMm is a leader in multilingual NLP technologies. Our sentiment analysis algorithms rely on deep-learning techniques; we have the expertise to ensure no biases exist in the indicators, from annotation campaigns to algorithm training for unbalanced datasets. We also leverage advanced NER (named entity recognition) and disambiguation techniques to detect relevant companies in multiple languages properly.
SESAMm enables businesses to make faster, more informed decisions, mitigating risks and reducing costs.
