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.

If you are not developing a solution in the Cohort but wish to observe, offer expertise or potentially be involved with a team, please register an account by clicking ‘Register now’. You will then gain access to each team's showcase page, be able to communicate with the ecosystem within the Sandbox, and offer mentorship.

Reference
Synthetic Entities

Synthetically created entities that are used as reference data to link all of the datasets together within the ecosystem. Statistically representative of UK Companies House.

600K Estimated records to be created
Synthetic Individuals

Synthetically created individuals that are representativeof 100% of the UK population. Based on ONS data.

7 million Estimated records to be created
Banking
Consumer table, Companies table and Transactional

Retail and Wholesale banking representing transactions for consumers and customers across the UK. There will be 5 fictional UK banks that are representative of the type of transactions that you expect to see in a UK bank. We have also looked to represent some of the behaviours that we would see as a result of the Covid crisis.

5.4 million Estimated records to be created (Consumer)
600K Estimated records to be created (Companies)
5.4 million Estimated records to be created (Transactional)
Device data

Device data that represents the devices used for fasterpayments across the UK and can detect fraudulent behaviour.

5 million faster payments over 100k customers Estimated records to be created
Black listed accounts

List of bad actors or entities that have been highlighted as such through various risk indicators.

10K Estimated records to be created
Credit reference
Credit reference data that represents an individual or entities past track record with credit.

TBC
SME lending
Issued loans to SMEs

300K Estimated records to be created
Loan history

Profit/loss statements for entities who have made credit applications

240K Estimated records to be created
SME directors

Directors and officers for entities in the ecosystem

1.2 million Estimated records to be created
COVID SME lending

Applications for Covid-specific government relief or loans

360K Estimated records to be created
Grouping
Data
Description
Estimated records to be created
Reference
Synthetic Entities
Synthetically created entities that are used as reference data to link all of the datasets together within the ecosystem. Statistically representative of UK Companies House.
600K
Reference
Synthetic Entities
Synthetically created individuals that are representative of 100% of the UK population. Based on ONS data.
7 million
Banking

Banking

Banking
Consumer table

Consumer table

Transactional
Retail and Wholesale banking representing transactions for consumers and customers across the UK. There will be 5 fictional UK banks that are representative of the type of transactions that you expect to see in a UK bank. We have also looked to represent some of the behaviours that we would see as a result of the Covid crisis.
5.4 million

600K

2 billion
Banking
Device data
Device data that represents the devices used for faster payments across the UK and can detect fraudulent behaviour.
5 million faster payments over 100k customers
Banking
Black listed accounts
List of bad actors or entities that have been highlighted as such through various risk indicators.
10K
Credit reference
Credit reference
Credit reference data that represents an individual or entities past track record with credit.
TBC
SME lending
SME lending
Issued loans to SMEs
300K
SME lending
Loan history
Profit/loss statements for entities who have made credit applications
240K
SME lending
SME lending
Directors and officers for entities in the ecosystem
1.2 million
SME lending
COVID SME lending
Applications for Covid-specific government relief or loans
360K
Team
Description
Understanding ESG Data
Butterfly Data
To create  a dashboard to help consumers better understand Environmental Social and  Corporate Governance (ESG) Information when making financial decisions.
Connect Earth
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
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.
Validating ESG Data
Telespazio
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
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
Greenomy  has digitalised the EU Taxonomy and TCFD and created a systematic workflow to  capture, validate and distribute the information.
4 Earth Intelligence
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
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.
Transparency in ESG Data and Disclosures
Synectics  Solutions
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).
ESGi
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
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.
Coriolis
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.

Register & Apply now

Complete the registration form and verify your email to create an account.

Once you have created an account you will able to access the application system, view the eligibility criteria and submit an application.

Questions? Read our FAQs here
Read the FCA press release here

We can be contacted at digital.sandbox@fca.org.uk 

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