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Datamaran

Datamaran provides an AI-driven platform that analyzes vast amounts of environmental, social, and governance (ESG) data to deliver real-time insights for businesses. This technology enables organizations to identify material risks and opportunities, enhancing decision-making and compliance in a complex regulatory landscape.

London, United KingdomFounded 201414210K+ followers
Updated 19 months ago

Funding

$33M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

MS
Funding rounds are not available yet.

Founders

Product

Problem

Businesses face increasing pressure to monitor and manage environmental, social, and governance (ESG) factors due to evolving regulations, stakeholder expectations, and potential risks. Analyzing the vast amount of unstructured ESG data from diverse sources is time-consuming and challenging, hindering effective decision-making and compliance. Traditional methods often lack the real-time insights needed to proactively address emerging ESG issues.

Solution

Datamaran offers an AI-powered platform that transforms unstructured ESG data into actionable intelligence, enabling business leaders to navigate the complex ESG landscape with confidence. The platform analyzes a wide range of data sources, including regulations, news, and corporate reports, to identify material risks and opportunities. By providing real-time insights, Datamaran helps organizations prioritize ESG issues, align internal priorities with external expectations, and monitor their ESG performance against key benchmarks. The platform's double materiality analysis capabilities reveal how ESG factors affect a business and the business's impact on the world, facilitating informed decision-making and reporting.

Target Audience

Datamaran primarily serves business leaders, ESG professionals, and corporate strategy teams seeking to improve their ESG performance, manage risks, and enhance stakeholder engagement.

Features

  • AI-driven analysis of vast amounts of ESG data from diverse sources
  • Real-time monitoring of mandatory and voluntary regulations impacting regulatory risk
  • Double materiality assessment to identify key ESG issues relevant to the business and its stakeholders
  • Comparison of internal priorities with external risks and opportunities
  • Identification of risk drivers, including regulatory, reputational, and competitive factors
  • Customizable dashboards for a tailored view of ESG priorities
  • Detailed breakdown of data sources used in materiality scoring
This profile is AI-generated and may contain inaccuracies.