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We have exciting news to share! Real Deals has recognized SESAMm for Best ESG Tech for TextReveal® ESG Alerts at the Real Deals ESG Awards 2022! These awards focus on: 1. a mixture of demonstrable customer and revenue growth; 2. detailed overviews of how new initiatives, products, or services have aided the business and helped their clients
ESG monitoring is becoming increasingly critical as legislation and stakeholders focus on sustainability, positive impact initiatives, and CSR. Early detection of controversies and positive impact events for private and public companies is possible through natural language processing (NLP)-powered technologies. SESAMm's ESG and SDG Alerts use AI to give firms the ability to monitor millions of public and private companies worldwide, providing more objective indicators.
A big thanks to SESAMm's investors, partners, and clients
We thank our clients, investors, and partners for your support and patronage. Thank you for being such a big part of SESAMm; you're why we do what we do, and many of you have been involved since day one. And your generous and encouraging attitude has helped get us here today.
Of course, we're honored to earn the ESG Tech award at Real Deals ESG Awards 2022. We're also excited for our clients and partners. And while we have more work to do and clients to serve, we think the future looks bright for us, our partners, and our clients.
About SESAMm and TextReveal
SESAMm is a leading NLP technology company serving global investment firms, corporations, and investors, such as private equity firms, hedge funds, and other asset management firms. Through TextReveal, we give you NLP capabilities to generate your own alternative data for use cases, such as ESG and SDG, sentiment, private equity due diligence, corporation studies, and more. And with access to SESAMm’s massive data lake, made up of 20 billion articles and messages and growing, you can make better investment decisions.
Reach out to SESAMm
For a personal demonstration of our award-winning platform, reach out to a representative here: