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Bringing big data to the financial world
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Freelancer
Luxembourg
SESAMm is an innovative FinTech company specializing in Big Data and Artificial Intelligence for Asset Management (www.sesamm.com). We build analytics and investment signals based on 250,000 textual data sources worldwide using Natural Language Processing and specifically emotions analysis. We work with major funds and asset managers worldwide (US, UK, France, Japan, Luxembourg…). Our team is composed of 20+ people, high profiles in artificial intelligence and market finance.
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59 Boulevard Royal Luxembourg Boulevard Royal Luxembourg Luxembourg L-2449
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What core services does SESAMm provide?
The company specializes in alternative data and artificial intelligence solutions. It provides investment professionals with actionable insights by analyzing vast amounts of textual data from across the web, helping clients make informed investment decisions through advanced sentiment analysis and ESG monitoring.
Which industries does SESAMm primarily serve?
The primary focus is on the financial services sector. The platform is designed for asset managers, hedge funds, private equity firms, and corporate clients who require deep data analytics to track market trends, company performance, and ESG (Environmental, Social, and Governance) metrics.
What technology powers the data analysis platform?
The platform utilizes proprietary Natural Language Processing (NLP) and machine learning algorithms. These technologies crawl and analyze millions of web sources, including news articles, social media, and blogs, to extract relevant financial signals and sentiment scores.
Where are the company's offices located?
SESAMm maintains a global presence with headquarters in Paris and additional offices in major financial hubs, including New York, London, Tokyo, and Singapore, allowing for support across different time zones.
How does the platform assist with ESG monitoring?
The technology tracks ESG controversies and performance in real-time. By scanning global web data, it identifies potential risks and opportunities related to environmental impact, social responsibility, and corporate governance, providing investors with a comprehensive view of a company's sustainability profile.
Can investment firms use this data for predictive modeling?
Yes, the data provided is structured to be integrated into quantitative models. By converting unstructured web data into quantitative signals, investment professionals can backtest strategies and incorporate alternative data into their existing investment workflows.
Does the company work with large enterprise clients?
Yes, the platform is built to support large-scale financial institutions, including global asset managers and major corporations, by providing data at scale that helps in monitoring thousands of companies simultaneously.
How can a potential client contact the team for a demo?
Interested parties can reach out through the contact form available on the official website. The team facilitates personalized demonstrations to show how the platform's analytics can be tailored to specific investment strategies or corporate research needs.
What makes the data analysis approach unique?
The approach combines deep linguistic analysis with financial expertise. Unlike traditional data providers, the platform captures sentiment and trends from a massive, diverse range of global web sources, providing a unique perspective that is often missed by standard financial reports.
Is the data provided by the platform customizable?
Yes, the analytics and signals can be customized to meet specific client requirements. Users can define the scope of their research, focus on particular industries, or track specific ESG themes relevant to their investment mandates.
Does the company provide historical data for backtesting?
The platform offers access to extensive historical data, which is essential for quantitative researchers and portfolio managers who need to validate their investment hypotheses and test the performance of strategies over time.
How does the platform handle data from different languages?
The NLP technology is capable of processing and analyzing data in multiple languages. This global reach ensures that clients receive a comprehensive sentiment analysis that is not limited to English-language sources, capturing a truly international view of market trends.
What is the primary benefit of using alternative data in finance?
Alternative data provides a competitive edge by offering insights that are not available in traditional financial statements. By analyzing real-time web sentiment, investors can identify emerging risks or growth opportunities faster than the broader market.
Is the platform suitable for private equity firms?
Yes, private equity firms utilize the platform for due diligence and portfolio monitoring. The ability to track sentiment and ESG controversies helps these firms assess the health and reputation of potential or existing investments.
How long has the company been operating in the fintech space?
Founded in 2014, the company has established itself as a leader in the alternative data and AI sector, consistently evolving its technology to meet the changing needs of the global financial industry.
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