Datamaran is the global leader in Software as a Service (SaaS) solutions for non-financial risk management.
Former GRI Director, Marjella Alma, recognised the problems facing businesses in monitoring and reporting on risk, sustainability and ESG issues, and decided to take action. Together with former Wall Street Quant specialist, JP Lecourt, and former Technology and Analytics consultant, Jérôme Basdevant, they formed Datamaran, and began work on creating an AI tool that would provide fast, efficient and powerful business intelligence on large unstructured data sets from the global corporate reporting landscape.
Datamaran’s global clientele of blue-chip companies have replaced the dated and expensive manual processes used for benchmarking, materiality and risk analysis as well as issues monitoring.
The insights Datamaran users gather are used across multiple business teams (governance, risk, compliance, sustainability) to identify and monitor risks and opportunities and to inform corporate strategy.
Datamaran is also a well-known and trusted partner of established advisory firms that use the service to augment their consulting offerings. If you are looking to explore how Datamaran can support your consulting offerings, please get in touch with Nikki Woods at firstname.lastname@example.org.
Datamaran is a diverse organisation, with offices in London, New York and Valencia. Our team is comprised of over 17 nationalities and over 50% of our workforce are women.
We are committed to creating a shared value for our stakeholders. Our employees are our primary stakeholder and are also shareholders of the company.
Women in Leadership
With strong female leadership from our CEO, and over 60% of our senior leadership team being women, our team outshines the recommended 30% of women in senior positions.
To help businesses ensure continuous resilience through data-driven decision making.
Help business to professionalize non-financial risk management.
About the Technology
Artificial Intelligence (AI)
Our primary use of AI is via Natural Language Processing (NLP) techniques, which allow computers to interpret human language. We process thousands of corporate reports (annual reports, sustainability reports and SEC filings) identifying topics of interest and ranking the emphasis of the level of disclosure on each topic. Ultimately, our AI engine automates the interpretation of the narrative used in each document, which offers an exponential increase in productivity.
We capture sources of data including corporate filings, regulatory initiatives, social media, stakeholder opinion and news. We curate these sources to ensure the coverage is robust and quality assured both geographically and across different business sectors. To these sources we apply NLP technology, focusing on the narrative to analyse a series of emerging issues. This is when the user starts to interact with the data. Using a series of filters, a user creates a scenario or scenarios based on their own business needs to build a view of the risk and opportunity across these emerging issues from a competitive, regulatory and reputational standpoint.
We also use NLP to analyze stories in the news, utilizing named entity recognition to identify companies that are being discussed in these articles and looking for trends in the topics that are being frequently mentioned alongside these companies. Additionally, the platform can monitor Twitter, which is a useful component in being able to predict changes in socio-cultural norms (which often proceeds regulatory changes, and therefore, can be used to predict areas of future risk).
We currently perform these tasks in English and Spanish and plan to add additional language functionality to our product later this year.
The SaaS (Software as a Service) platform is cloud based, and we sell it on a monthly and annual user license agreement.
Our technology takes a narrative approach to analyzing corporate data. Datamaran is the Bloomberg of environmental, social & corporate governance data.
Take a tour of Datamaran