David K.A. Mordecai Participated in FinTech Innovation Lab 2022 Demo Day
David K.A. Mordecai participated in Demo Day 2022 for FinTech Innovation Lab (FTIL) on June 23, 2022, 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, Dr. 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.
David Mordecai is Adjunct Professor of Econometrics and Statistics at University of Chicago Booth School of Business, and advises research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU and is Co-Managing Member of Numerati® Partners LLC.
Demo Day
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 40 supporting financial institutions and venture capital firms selected the current set of participants for the 2022 cycle, which included the following:
- Coverforce (New York) – “which partners with national property and casualty carriers to standardize their distribution application programming interfaces (APIs) and build customized platforms for Independent Agency Networks, strengthening the carrier/agency relationship.”
- Draivn (Den Haag, Netherlands) – “whose platform collects data from any telematics or internet of things devices that transportation fleets are equipped with and converts it into real-time analytics for fleet insurers and brokers.”
- Evercity (Berlin) – “whose blockchain-based sustainability measurement and investment platform automates issuance, management and monitoring of sustainable finance.”
- Ion Channel (Alexandria, Virginia, USA) – “whose software supply chain management platform identifies and monitors third-party security risk from software suppliers (vendors, outsourced app developers, contractors, and open source).”
- LeapXpert (New York) – “whose platform creates an accessible digital record of all business interactions carried out over mobile messaging applications, giving organizations peace of mind that their data will be secure and meet compliance requirements.”
- Mark Labs (New York) – “whose AI/ML stewardship platform helps asset managers define impact metrics, engage with investors and portfolio companies, and link their capital allocations to the pursuit of real-world environmental, social, and governance outcomes alongside targeted financial returns.”
- Messari (New York) – “whose market intelligence platform provides in-depth crypto market research, analysis, data, diligence tools, and more for crypto business professionals.”
- Railz (Toronto) – “whose API provides financial institutions and fintechs with instant, real-time access to their business customers’ financial data from different sources (accounting, banking, tax, e-commerce) to make better data-driven decisions.”
- Straylight Systems (New York) – “whose AI solution automatically creates secure software code that is trustworthy and reliable.”
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU 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.
