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Launchpad

The SupTech Launchpad is an accelerator for financial authorities and technology vendors to co-create and deploy cutting-edge, scalable suptech applications. To facilitate and de-risk this collaboration, our team helps detail the technical specifications, designs and implements agile procurement of the vendors, and provides project management support and hands-on technical assistance including security testing. 

Through the Launchpad competitions, vendors are awarded the funds to develop and test working prototype solutions in partnership with the agencies.  

If you are a vendor, by joining the Lab’s Launchpad you will also:   

  • Receive tailored coaching  
  • Be invited to the Lab’s pitch day to connect with funders and to a demo day to present their products to potential clients  
  • Be listed in the Lab’s onlineVendor Database. 
  • Be mentioned in a case study published by the University of Cambridge to share lessons from the project  
  • Engage with the suptech community through the Lab’s hackathons and techsprints 
  • Be introduced to the global community of regulators and supervisors, investors, academics and development partners that are collaborating with the Cambridge SupTech Lab during other events hosted by the Cambridge Centre for Alternative Finance (CCAF). 

     If you are a financial authority interested in prototyping new suptech applications through the Launchpad, you can do so by either joining our CB&E programmes or our Technical Assistance. The SupTech Launchpad largely builds on the experience of theRegTech for Regulators Accelerator (R2A), which has successfully developed ground-breaking solutions introducing an agile approach to the collaboration between financial authorities and technologists. 

     

    Resourcing

    Vendor selection and procurement
    • Choose vendor selection model that best fits project’s need
    • Vendor selection through global competition
    • Vendor due diligence and contracting

      Prototyping

      Iterative testing & development
      • Use the “lean” approach to accelerate testing and development
      • Apply “rapid learnings” from each iteration to progressively refine the project
      • Frequent iterations with checks-in with supervisory agency and course corrections

        Production

        Deploying the application
        • Prototype tested
        • Capacity building for supervisory agency to maintain the application (if required)
        • Implementation of change management plan
          SupTech Lab GitHub

          Prototypes under development

          1

          FINANCIAL CONSUMER PROTECTION SUITE WITH WEB SCRAPER AND ML-BASED ANALYSIS

          Financial authorities: Bangko Sentral ng Pilipinas (Central Bank of the Philippines) and Securities and Exchange Commissions of the Philippines
          Vendor: Winnow Technologies
          Award: $125,000
          Sponsor: The Bill & Melinda Gates Foundation

          This prototype application will collect and process consumer protection data from web and social media channels, extending their consumer protection data collection capabilities, and complement the ability for customers of financial services to raise explicit complaints raised prior chatbot deployments.
          It is an advanced analytics tool capable of processing streams of web and social media channels, and linking with entities and trends in historical complaints data, using machine learning (ML) to provide a comprehensive view of the market in the interest of consumer protection initiatives for two financial authorities.

          2

          NEXT-GENERATION AI-POWERED CHATBOT SUPPORTED COMPLAINTS MANAGEMENT SYSTEM

          Financial authorities: Otoritas Jasa Keuangan (Financial Services Authority of Indonesia) and Bank of Ghana
          Vendor: Proto.io and Winnow Technologies
          Award: $135,000
          Sponsor: Asian Development Bank and The Bill & Melinda Gates Foundation

          This prototype application will augment existing chatbot deployments by providing an advanced analytics interface, powered by a data warehouse to centrally store data from complaints sources and other collection channels, and enable cross-silo actionability by supervisors.
          These chatbot upgrades will bring NLP and other AI technologies into the collection process for financial authorities in two countries, along with a data warehouse and dashboard solution that draws from historical complaints data in order to surface trends that can be useful across departments.

          3

          FINANCIAL MARKET MONITORING VIA SOCIAL MEDIA AND WEB EXTRACTION

          Financial authority: Superintendencia de Banca, Seguros y Administradoras Privadas de Fondos de Pensiones of Peru
          Vendor: Financial Network Analytics (FNA)
          Contract value: $100,000
          Sponsor: The Bill & Melinda Gates Foundation

          This prototype application introduces advanced monitoring tools via social media and other channels. When an issue relating to a supervised entity or activity is raised and resolved via a consumer complaint, inspection, or otherwise, that is not always the end of the story. Further monitoring ensures the issue remains resolved.
          These advanced market monitoring tools extend the existing capability of the authority, going beyond basic sentiment analysis to surface trends, anomalies and other patterns in the data that is relevant to monitoring of entities and activities flagged through other processes.

          Portfolio Companies

          SOLUTIONS

          Web-Based Market Monitoring


          Developed in collaboration with Superintendencia de Banca, Seguros y Administradoras Privadas de Fondos de Pensiones of Peru

          AI Powered Consumer Protection Suite


          Developed in collaboration with Bangko Sentral ng Pilipinas (Central Bank of the Philippines) and Securities and Exchange Commissions of the Philippines

          Next-Gen Chatbot and Analytics


          Developed in collaboration with Otoritas Jasa Keuangan (Financial Services Authority of Indonesia) and Bank of Ghana

          Chatbot and processing utility for customer complaints
          Philippines
          Developed by: R2A and proto.cx for the Central Bank of the Philippines (BSP)
          Data infrastructure for AML Supervision
          Mexico
          Developed by: R2A and Gestell with the CNBV
          Chatbot and processing utility for customer complaints
          Philippines
          Developed by: R2A and proto.cx for the Central Bank of the Philippines (BSP)