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Home > FinTech Accelerator

FinTech Accelerator

FinTech AcceleratorOur FinTech Accelerator works in partnership with firms working with new technology to explore how FinTech innovations could be used in central banking. This helps us to improve our understanding of FinTech trends, and also allows us to support development of the sector. In return, we offer the firms a chance to demonstrate their solutions for real issues, gain knowledge from Bank experts and a valuable client reference.

The Accelerator also plays a part in informing the Bank’s understanding of how technological innovation could impact our policy objectives, in particular financial stability.

How can FinTech firms work with us?

FinTech firms can engage with us through submitting a response to one of our open calls for applications to work on a Proof of Concept (PoC) in one of our priority areas. Our priority areas will be listed on our website and we run a competitive and transparent process in evaluating all applications. All PoCs are time-bound and will in most cases be ring-fenced from the Bank's daily operations for the course of the PoC. At the close of the PoC, outcomes are assessed against the initial criteria and we may publish a write-up.

In some cases, successful firms may have the opportunity to re-tender through an open process to become an ongoing partner of the Bank.

We are not currently accepting applications.

If you have any questions, please email or read our frequently asked questions on the Bank of England Accelerator.

Which FinTech firms have we worked with?

After our recent call for applications, the following firms have been selected to join the fourth cohort of the Bank of England’s FinTech Accelerator:
  • Chain: One of the Accelerator’s first PoCs raised questions about the confidentiality that could be maintained in a distributed ledger system and the possible trade-off between privacy, performance and resilience in the system. The technical issues around privacy were identified in the digital currencies research questions that the Bank published last year. This PoC will specifically explore how distributed ledgers can be configured to enable privacy amongst participants whilst keeping data shared across a network.
  • Digital Reasoning: Our call for applications included a request for a solution to ingest and analyse large quantities of weakly-structured data and detect patterns, anomalies and themes. We have decided to work with Digital Reasoning who, through their cognitive computing solution, will draw out sentiment and qualitative insights within a sample of publicly available information. The results of this PoC could support the Bank’s supervisory approach.
  • NTT DATA and Reportix: This PoC will investigate an innovative processing solution for XBRL based datasets, which account for around 80% of the regulatory reporting data collected by the Bank of England, to support the evolution of the One Bank Data Architecture initiative of the Bank’s Strategic Plan. It is anticipated such innovation could have a significant impact on the speed at which we import, store, analyse and visualise regulatory data.
  • MindBridge™ Analytics Inc: The Bank worked with the firm in its previous cohort to help identify anomalies in anonymised credit union datasets. In this second phase, the Bank will build on those learnings to look at the versatility of the MindBridge Ai Auditor™ tool to provide data visualisation and data preparation techniques for larger numeric and transaction-level datasets. We are interested in the potential of machine learning to assist the way the Bank conducts plausibility and validation checks on different types of datasets. One of the datasets our in-house experts will run through the MindBridge artificial intelligence tool will be the transaction data that will go towards calculating the Bank’s reformed SONIA benchmark.
We have worked with the following firms in the past:

  • MindBridge Analytics Inc: MindBridge’s ‘Ai- Auditor’ tool detects anomalies in financial transactions and reports using data science, machine learning and other Artificial Intelligence techniques. In this proof of concept we asked the firm to prove the analytical value of the tool for detecting anomalies in anonymised credit union datasets.
  • Ripple: In this proof of concept we wanted to explore the synchronised movement of two different fiat currencies between two simulated Real Time Gross Settlement systems linked using Ripple Connect and the Interledger Protocol. We wanted to demonstrate how this kind of synchronisation might lower settlement risk and improve the speed and efficiency of cross-border payments. Read about our work with Ripple.
  • Enforcd: Enforcd’s ‘Enforcement Database’ (EDB) holds publically available UK regulatory enforcement actions and news, along with commentary written by Enforcd’s own regulatory lawyers, and insights from City law firms and Chambers. In this proof of concept we wanted to understand the benefits and the influence on decision making in viewing publically available regulatory enforcement action from different perspectives.
  • Experimentus: This proof of concept applied Experimentus’ ORB tool to analyse historic Bank of England projects to visualise how they had performed against a range of standard key performance indicators.
  • BMLL: BMLL’s machine-learning platform provides access to historic limit order book data – trading exchanges’ records of buyer and seller interest in particular trades – with the aim of making it easier to analyse and check anomalies in the data. We tested the alpha version for the BMLL proof of concept.
  • Anomali and ThreatConnect: We asked these companies to create a searchable database where intelligence on cybersecurity threats can be optimised and stored. View the Anomali proof of concept and the ThreatConnect proof of concept.
  • BitSight: In the BitSight proof of concept, we tested BitSight’s tool that assesses a firm’s cyber resilience based on publicly available data.
  • Privitar: For this proof of concept, we tested Privitar’s software on a manufactured dataset to examine the analytical value of the desensitised data. We did this to establish whether we could provide Bank researchers wider access to data.
  • PwC: Our project with PwC looked at possible applications of blockchain and distributed ledger technology.

Our FinTech Community

We have created a community of FinTech-related organisations with the aims of:

  • sharing developments, trends and insights so that firms across the sector can learn from each other, and we in turn can learn from them
  • making sure that the Bank is engaging with a variety of  FinTech firms from across the sector
  • increasing networking across firms that are interested in  FinTech, helping the sector to develop.

The community will not discuss or share any commercially sensitive material. It is free to join, but we are initially limiting membership to firms most relevant to the Bank’s remit and our FinTech objectives, and those that have made contact with us to share knowledge.

Firms that have completed a proof of concept with us will automatically be invited to join. We’ll review community membership regularly to make sure members continue to meet these criteria, and that we have an appropriate balance of organisations. We will also continue to engage with FinTech firms outside the community.

Members of the community will be invited to meet with us two to four times per year, to share updates on trends and developments in the sector. These meetings will be confidential. Community members will also be invited to quarterly networking and knowledge-sharing events. We will publish summaries of the topics discussed at these events.

Current members of the community are:

  • Anomali
  • British Bankers’ Assocation (BBA)
  • British Bankers’ Assocation (BBA) innovation working group
  • BitSight
  • BMLL
  • BT
  • Department for Business, Energy and Industrial Strategy
  • Deloitte LLP
  • Enforcd
  • Financial Conduct Authority (FCA)
  • Illuminate Financial Management LLP
  • Innovate Finance
  • London and Partners
  • NEX
  • Omidyar Network
  • Parker Fitzgerald
  • Privitar
  • PWC
  • Simmons and Simmons LLP
  • Thomson Reuters

Membership of the community does not entail approval or endorsement by the Bank.

FinTech Community Event 13 June 2017 - Key discussion topics

FinTech Community Event 17 March 2017 - Key discussion topics

In the meantime, if you would like to stay in touch with us, you can follow us on LinkedIn. We will also be posting updates on our work on the Bank’s Twitter account. If you have any questions about the Accelerator, you can email