There are12 businesses participating in the Digital Sandbox Sustainability Cohort. These participants will test and develop innovative products that assist with market challenges in ESG Data and Disclosures so that we can work towards net zero.

To create  a dashboard to help consumers better understand Environmental Social and  Corporate Governance (ESG) Information when making financial decisions.

API-first  carbon analytics startup, with a mission to democratise access to actionable  sustainability data. Using company-level information and advanced data  intelligence, Connect Earth meets companies and consumers where they are,  empowering them to analyse and reduce the carbon emissions associated with  their purchases. Connect Earth will utilise the sandbox environment to build  a solution that optimises the measurement of a company's and a consumer's  carbon footprint based solely on their financial data.

Vested  Impact enables customers, to go beyond traditional ESG and can provide  visibility and transparency around what companies have the greatest impact,  solving what problems that align with their values, and to what effect that  they as an individual investor can mobilize their capital towards solving the  world’s greatest problems.

FinEO, a  modular AI system will use satellite-monitoring datasets to validate  geographically and temporally specific asset disclosures from corporations  whose activities imply significant changes that are detectable and can be  monitored by satellite sensors.

RISC  Vision aggregates, standardises and analyses disparate datasets for risk  analysis and reporting. The platform’s user friendly interface allows  any business user to set automated triggers identifying key changes of state  in those datasets, and creates immutable and auditable changes recorded  securely on a blockchain ledger.

Greenomy  has digitalised the EU Taxonomy and TCFD and created a systematic workflow to  capture, validate and distribute the information.

4EI is  using satellite data to provide market participants (issuers, asset managers)  with real time ESG information on the impact of the bond and possible  applications to the ongoing verification process of ESG criteria

Greenway Analytics is on a mission to change green bond reporting by connecting real-time data from IoT devices to compliant report. The purpose of GA is to accurately track the underlying projects, during the bond's lifetime, to deliver reliable reports providing investors with the confidence that green KPI’s are actually met. During the Cohort, GA will focus on collecting real time data from the real estate, which in the EU contributes to 22% of the green gas emissions.

Creating  a standardised data model for the storage and transmission of ESG data,  including compliance reporting, consultancy, risk assessment for potential  fraud or misrepresentation, through an interoperable, open source data  ecosystem. (I think you were going to confirm this with your marketing team).

Element22  have collaborated to develop a product ("ESGi") that enables direct  sharing of ESG data between financial institutions who need to source  information (for regulatory disclosure, risk, investment decision making  etc.) and the companies who they need to assess.

QPQ  brings integrity to the carbon economy. This sandbox will demonstrate the QPQ  hybrid-data network that delivers controllable privacy and disclosure of a  company’s direct and indirect carbon footprint. Innovatively operating with  DLTs and database technologies, the QPQ technology enables proof of  provenance and big data storage with analytics and privacy guarantees. As a  part of the wider QPQ platform, this provides reporting into the QPQ operated  carbon exchange to validate against assets such as green bonds.

SusTrade  is a project by UK-based SME Coriolis Technologies to develop an independent,  global and standardised ESG scoring methodology (aligned with EU Taxonomy and  UN SDGs) in order to create sustainability passports for companies and their  supply-chains. It will use advanced deep-learning to combine real-time data,  sustainability knowledge and state-of-the-art data analytics to understand  company and supply-chain sustainability impact.