About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Clarity AI, GIST Impact and S&P Launch Biodiversity Tools for Investors

Subscribe to our newsletter

A partnership service between sustainability technology platform Clarity AI and impact data intelligence provider GIST Impact is among new biodiversity tools unveiled for financial institutions in the past week.

They join S&P Global unit Sustainable 1, which has taken the sheets off a new dataset that helps investors track the nature-based impact and dependencies of their portfolios.

New York-based Clarity AI and Nyon, Switzerland-headquartered GIST have partnered to develop a biodiversity impact tool. It combines the former’s database, which covers the ESG performances of more than 30,000 companies, with GIST’s metrics and analytics.

The service will help clients identify and calculate their exposure to companies that have a negative impact on biodiversity.

S&P Sustainable1, meanwhile, has launched its Nature & Biodiversity Risk dataset, which covers 17,000 companies and more than 1.6 million assets. It includes new nature-related risk metrics, among which is a dependency score and ecosystem footprint gauge that gives clients greater visibility into a company or asset’s dependency and impact on nature.

Biodiversity is a fast-growing segment of the ESG investment market, with associated funds attracting more than US$1 billion this year, according to Clarity AI.

“The imperative for investors to account for biodiversity impacts in their decision-making has never been greater,” said Pavan Sukhdev, founder and chief executive of GIST Impact. “This data is critical for effective risk management, and to support action to curb further nature loss.”

S&P said its dataset had already given context to the importance of biodiversity risk mitigation. It said that by applying the data set to the S&P 1200 it found that:

  • 85% of the world’s largest companies have a significant dependency on nature;
  • 46% have at least one asset located in a Key Biodiversity Area (KBA) that could be exposed to future reputational and regulatory risks;
  • S&P 1200 companies used an estimated 22 million hectares of land for their direct operations in 2021 to generate USD28.9 trillion revenue.

This indicates “the critical importance of greater transparency for market participants on nature-related risks and opportunities”, said S&P Global Sustainable1 global head of research and methodology Steve Bullock. “This new dataset signals a maturation of the conversation on nature and provides clear metrics quantifying the nature related dependency and impact of over 1.6 million global real assets.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined...

BLOG

Bigger is Better, Says Gresham CEO After Acquisition of S&P Global’s EDM Business

Gresham has finalised its acquisition of S&P Global’s EDM business as the data automation company expands to meet the growing and increasingly complex data needs of modern financial institutions. EDM, which supports more than US$12 trillion in assets, will sit alongside Gresham’s existing enterprise data management business, which was created with its merger with Alveo...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2019/2020 – Seventh Edition

Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...