SESAMm
1. Category : Analytics, Artificial Intelligence, Asset Management, Big Data, Data Visualization, Finance, FinTech, Machine Learning, Natural Language Processing, Predictive Analytics
2. Domain : Big Data and Artificial Intelligence
3. Founders : Florian Aubry, Pierre Rinaldi, Sylvain Forté
4. Established : Apr 28, 2014
5. Number of Employees : 11 – 50
6. Operating Status : Active
7. Funding status : Not disclosed
8. Website : www.sesamm.com
9. Country : European Union (EU)
10. Latest in News: Hackathon on Artificial Intelligence & Machine Learning is organized with a new partner, SESAMm.
SESAMm is specialized in the creation of innovative and alternative data analytics and is a s the French leader in Big Data and Artificial Intelligence solutions applied to Asset Management.
SESAMm provides data solutions for empowering investors to generate, access and integrate alternative data. Capital markets have experienced a dramatic transformation with electronic and automated trading and the amount of traditional market and alternative data is exploding. New methodologies and advances in computing power are now making it possible to harness the power of Big Data and Machine Learning for financial use cases.
Company’s technologies allow investors to significantly accelerate Big Data processes, from dataset generation, cleaning and evaluation, to testing Machine Learning pipelines, to dealing with overfitting.
Text reveal: Is an NLP engine helps to generate Alternative Data from text by using Natural Language Processing. By using Advanced NLP requests on massive Data Lake, Standard Markets API with sentiment & emotions and APIs & visualization dashboards.
Signal Reveal: Is a Data science engine, which Create investment signals using Machine Learning algorithms. By using Modular & ready-to-use Machine Learning pipelines, Alternative Datasets evaluation & integration and Signal creation.
Custom projects: Is a Tailor made solution helps to develop investment strategies or indicators and gain experience. By using Data science trading strategy projects, Custom Natural Language Processing analytics and Benefit from learning from past projects.
Alternative data includes any type of data that is beyond the scope of traditional data: satellite imagery, social media data, and web data (which includes news sites, blogs, discussions and forums) along with credit card data.
Alternative web data, which falls under the broader category of big data, is typically unstructured and demands a process for structuring it in order to deliver insights.
As increasing numbers of financial institutions jump on the bandwagon of alternative data, spending on alternative data by trading and asset management firms is set to exceed $7 billion by 2020.
