The 30 businesses participating in the Digital Sandbox Pilot to test and develop innovative products and services in response to challenges presented by the Covid-19 pandemic.

Firms or individuals who are not testing or developing a solution in the pilot but who want to observe, offer their expertise or potentially be involved with a team, can register an account by clicking ‘Register now’.

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
Fraud & scams
Faculty
A solution which uses an algorithm to identify suspicious behaviours in transactional data.
Sedicii
An AML solution that allows financial institutions to securely share knowledge about clients or transactions without disclosing any underlying data or information.
EalaX Ltd
A solution that creates digital synthetic twins of real financial data which can then be used to detect fraudulent patterns and complex problems that are being experienced during Covid-19.
Callsign & HSBC
A solution to protect customers’ digital identities by tackling the rising issue of online banking fraud, without compromising on customer experience.
Financial Network Analytics
A solution that uses neural networks to establish the usual patterns of behaviour between organisations and individuals to highlight anomalies in order to detect fraudulent payments.
Synectics Solutions
A solution that uses transactional data in close to real time to determine a risk score to aid in the identification of account push payments fraud.
MPC4AML
A solution that uses a Privacy Enhancing Technology (PET) known as Secure Multi-Party Computation (MPC) to run risk scores on a transaction network of data from multiple banks.
Futures
A solution that provides a real-time risk assessment across a network to detect consumer behaviour indicative of fraud and scams.
Norbloc
A solution that uses blockchain to allow for a secure and GDPR-compliant sharing of verified KYC files across multiple institutions in real-time to create a single profile per customer.
LexTego
An open source solution to detect fraudulent and money laundering activity within a financial ecosystem – in real time for selected typologies.
IT2 Fraud Signals - Trust Stamp, Cifas, Lloyds & OneBanks
A solution that uses biometric data to create an identity token that can be used to match, de-duplicate and verify across institutions while protecting the users personal identity information.
Onespan
A solution that will combine machine learning with the development of rules by experts to identify types of fraud.
Vulnerability
PrinSIX Technologies
PrinSIX is focusing on detecting vulnerability within credit applications, testing and deploying dynamic onboarding journeys that identify applicant vulnerability flags and trigger highly personalised digital assessments to improve customer outcomes.
Qpal
A digital assistant focused on financial wellbeing, powered by Open Banking, that automates financial decision for consumers.
Elifinity
A solution to create a two-app ecosystem to allow users to share their financial data with debt advisors and for debt advisors to directly send their solutions to the consumer via an app.
Automated Regulatory Monitoring
An AI platform aimed at SME’s that identifies the drivers and characteristics of vulnerability and provides a series of preventative measures to avoid negative outcomes for consumers.
PORTABL
A solution to create a ‘Freelancer Risk Score’ that fairly represents independent workers who might miss out on financial inclusion because they are not well served in typical markets.
FLANK
A solution to assist vulnerable young people who have borrowed money from friends and family in managing and repaying these loans.
Applied Blockchain
A solution to allow a range of lenders to assess the credit risk of a borrower without requiring direct access to private and sensitive financial data by using privacy-preserving technologies.
DirectID
A solution that uses transactional data to predict the probability of default based on an individual’s historical and predicted cash flow.
Kalgera
A solution using financial transaction data to identify indicators of impaired financial decision-making and to help firms more efficiently and quickly allocate resources to support vulnerable consumers.
Amplified Global
A solution that uses a ‘cognitive risk engine’ to assess the level of comprehension of information and apply a ‘cognitive risk score’ to a consumer.
SME Lending
Fluence
A solution that uses natural language processing AI to interpret and analyse financial applications and claims handling processes in order to automatically interpret new applications and claims.
Open Banking Reporting
OBR creates analytical assessments, metrics, forecasts, network and threat models for SMEs and lenders to build successful businesses.
Sota Signal Analytics
A solution to signal risk in a business’s financial condition to reduce uncertainty and create greater confidence in a lending counterparty.
Company Watch Ltd
A solution to enable finance funding providers to predict, analyse and risk assess the ability of a small business to repay credit within certain time periods.
Fractal Labs
A solution that uses Open Banking to create a cashflow forecast in order to help  assess the eligibility of SME’s for small working capital loans.
Untangled Finance
A solution using tokenised assets on a blockchain to enable simple, cost-effective and transparent ways to securitise SME loans and invoices.

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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FCA Press Release

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