SESAMm Big Data & AI technologies for Investment analyze billions of news articles, social media messages, blogs and forum posts to help predict financial markets movements. It measures and analyzes the sentiments and emotions driving financial markets and provides Machine Learning models dedicated to use alternative data (i.e. non-traditional data sources).

The Challenge

The investment industry is quickly evolving. The democratization of Artificial Intelligence and the tremendous amount of data available creates new opportunities. However, the industry is facing a major problem in processing and testing data sets. Indeed, this process is time-consuming, and a lot of different data providers are available. According to a survey, it takes on average 85 person-hours to evaluate a new alternative data set. This is equivalent to two people working full-time on the project for a week. In some cases, it could take over 200 person-hours to evaluate a data source.

The Solution

At SESAMm we have developed an entire Machine Learning Pipeline that helps to analyze and build investment strategies using Alternative data. We either share our methodologies and support our clients through a project or sell directly our technologies including our source code.

With our NLP platform TextReveal and our quantitative data science platform SignalReveal, SESAMm addresses the entire value chain of alpha research.

The Importance

Many different types of data sources are emerging, called Alternative Data. According to Deloitte, the number of alternative data analysts has more than quadrupled over the last five years. Moreover, 59% consider Big Data and Alternative Data are important for research purposes.

These types of data aim to help investment companies gather new information and improve their performances/risk metrics.

On top of that, the usage of Machine Learning technologies is primordial in order to process and test big amounts of data.

Next steps

Our Sales and Project Management team are available at any time at the following email address: [email protected] to answer questions and/or request a demonstration.

Further details about SESAMm and our solutions can be found directly on our website:

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