A Fintech company specialized in Big data and AI that provides to Asset Management companies Data Science Technologies as well as Alternative Data based on Natural Language Processing.


The asset management 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.


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



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.



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

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