At SESAMm, we analyze billions of news articles, social media messages, blogs and forums posts to help predict financial markets movements. Our goal is to bring new relevant information to asset managers, investments banks, hedge funds and brokers across the world.

We specialize in identifying major emotions trends and behavioral biases. Our toolset consists of natural language processing, quantitative analysis and machine learning applied to Big Data. We rely on artificial intelligence to make sense of textual information and implement those algorithms on distributed computing architectures to optimize the processing of very large datasets.