David K.A. Mordecai Participated in Demo Day 2021 for FinTech Innovation Lab
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David K.A. Mordecai participated in Demo Day 2021 for FinTech Innovation Lab (FTIL) on June 24, 2021, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.

As Scientist-in-Residence for FTIL, David K.A. Mordecai is one of eight Executives-in-Residence for the FTIL Mentors Network. The FTIL Mentors Network is comprised of over 30 seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies. Due to the ongoing COVID-19 pandemic, the entire FTIL 2021 cycle was conducted remotely. In addition, FTIL Demo Day 2021 was held remotely via YouTube, marking the second time FTIL Demo Day was conducted entirely online.

Demo Day 2021

Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 44 supporting financial firms selected the current set of ten participants for the 2021 cycle.

  • Cinchy (Toronto, Canada): A Data Fabric platform used by a growing number of the world’s most complex financial institutions to eliminate integration and data silos
  • CoverGo (Hong Kong/Singapore): Offers a configurable, modular, no-code insurance platform powered by 500+ insurance application programming interfaces (APIs) to automate processes and enable digital transformation at record speed
  • Delio (Cardiff, UK): White-labeled technology and infrastructure enabling the creation of connected distribution platforms and marketplaces for transforming private markets—integrating deal origination, distribution, transaction and reporting into structured and highly configurable workflows
  • Quarrio (Berkeley, CA): Conversational analytics product enables sales teams to ask questions about enterprise data and receive answers within seconds
  • Rightfoot (San Francisco, CA): Creates APIs that enable developers to quickly and easily add student debt repayment (and soon, any type of debt repayment) capabilities into any app
  • Safekeep (New York, NY): Award-winning AI-driven claims solution increases recovery potential and reduces effort by as much as 90%
  • SPIN Analytics (London, UK/New York, NY): An explainable AI platform, RISKROBOT™, providing10x acceleration, automated data preparation and management, model development, regulatory documentation, validation and monitoring for credit risk management in banks
  • The Climate Service (Durham, NC): Developed their Climanomics® software as a service platform that enables investors and corporations to incorporate climate risks into their strategic planning, risk management, and climate risk disclosure processes
  • Util (London, UK): A platform that autonomously gathers and quantifies sustainability data about companies, products, services and portfolios at scale
  • Vesttoo (Tel Aviv, Israel): A company that provides data-driven risk modeling for the L&P and P&C insurance markets, providing insurers and pension funds with affordable, strategic risk transfer to the capital markets, while investors benefit from uncorrelated, high-yield investments with remote loss possibilities

David Mordecai leads research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU and is President and Co-Founder of Risk Economics.

About RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU

The mission of RiskEcon® Lab @ Courant Institute is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.

RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011. For more information, visit: https://wp.nyu.edu/riskeconlab/.