External big data can significantly affect your business and create significant opportunities. Analyze any public or private companies you transact with, from vendors to borrowers and everything in between.
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 TextReveal's volume and scores to explore causes and responses.
Clients - Apply TextReveal's powerful tools to monitor and ensure the reputation and activities of the companies you work with agree with your internal standards and policies to mitigate potential risks.
Suppliers - Rating agencies and traditional methods are not enough to mitigate risks in your suppliers. SESAMm's tools enable your firm to monitor ESG controversies and other risks to ensure end-to-end supply chain compliance.
Data-based insights into private and public companies are hard to attain through traditional methods. Nevertheless, online data exists, and 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.
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 or flat files to extract data in a systematic way.
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.
