We analyze, in real-time, billions of articles and messages from the web using advanced Natural Language Processing techniques to analyze key trends. We also provide Machine Learning expertise to build analytics and investment strategies.


Ready-to-use Data Streams

Curated, granular data streams for investment professionals:

  • Refined sentiment, ESG, and retail trading time series for investment use cases
  • History starting in 2008, covering thousands of stocks
  • Daily data with financial identifier mapping

Modular API and Dashboards

Generate Alternative Data from text using NLP algorithms on a massive, ready-to-use data lake. 

  • Sophisticated NLP requests on an industry-leading data lake
  • Sentiment, emotions, ESG, and thematic analysis
  • APIs and visualization dashboards

Investment Signals and Strategies

Create investment signals using Machine Learning algorithms.

  • Modular and Open Machine Learning pipelines
  • Alternative Datasets evaluation & integration
  • Quantitative signal creation

Latest Insights

VIDEO: ESG Data Challenges and How AI and NLP...

Online, Japan Investor Forum, July 2022. Sylvain Forté, SESAMm's co-founder and CEO, discusses ESG data and its challenges. Further, he describes how ...

What Investors Ought to Know About Data Lakes: A...

If you’ve taken a basic computer course, you might have learned this famous phrase: Garbage in. Garbage out. It’s become so popular that people use it...

Alternative Data Trends: NLP Analysis on...

Housing and construction fees have skyrocketed over the past few years. This increase goes back to multiple factors: economic unrest, raw materials di...

What Investors Ought to Know About Natural...

In this issue of the "what investors ought to know about…" series, we'll cover natural language processing (NLP), a tool that draws from the computer ...

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