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SESAMm

Fintech · Paris, France · Founded 2014

SESAMm is a pioneering company specializing in Natural Language Processing (NLP) and Machine Learning (ML) solutions tailored for investment firms and corporate clients. Founded in 2008, SESAMm has carved out a niche in the alternative data and artificial intelligence market, providing unique data insights that are crucial for various investment strategies and corporate decision-making processes. The company operates in the financial technology (fintech) sector, focusing on delivering refined sentiment analysis, Environmental, Social, and Governance (ESG) metrics, and retail trading time series. These insights are derived from a sophisticated data lake, which is essentially a large repository of raw data that can be processed and analyzed to extract valuable information. SESAMm’s NLP algorithms sift through this data to provide granular, curated data streams that investment professionals can use for quantitative or fundamental investment, due diligence, portfolio monitoring, and market research. SESAMm’s business model revolves around offering data-driven insights and analytics tools to its clients. The company generates revenue by providing subscription-based access to its data streams and analytics platforms. These tools help clients create investment signals and build robust investment strategies using advanced ML algorithms. SESAMm also offers bespoke solutions tailored to specific client needs, which can include sourcing and idea generation, risk management, and ESG-focused investment strategies. The primary clients of SESAMm include global investment firms, private equity firms, and corporate entities looking to leverage big data and AI for better decision-making. By addressing the data needs of these clients, SESAMm helps them stay ahead in a competitive market. In summary, SESAMm is a leader in providing NLP and ML solutions for investment firms and corporates, offering data-driven insights that enhance investment strategies and corporate decisions. Keywords: Natural Language Processing, Machine Learning, Investment Firms, Corporate Clients, Alternative Data, ESG Metrics, Sentiment Analysis, Data Lake, Fintech, Investment Strategies.