Abzu selected to join the Endless Frontier Labs 2020 – 2021 cohort
Abzu has been selected to join the Endless Frontier Labs 2020 – 2021 cohort alongside 53 other companies. The artificial intelligence applied research startup has been selected for the Deep Teck track.
Jonas Wilstrup, operations and finance at Abzu, says, “It is an exciting step for Abzu that the NYU Stern School of Business has chosen us to be part of the Endless Frontier Labs program. We are truly breaking the mold with our unique and game-changing approach to AI, and we are over the moon that we are the only Nordic AI company to be selected to the program this year."
Endless Frontier Labs (EFL), a program for early-stage science and technology-based startups at New York University Stern School of Business, is structured to optimize each selected startup’s chance of scaling into a successful company through a goals-based mentoring process. EFL mentors are experienced entrepreneurs who have built and exited successful companies, world-renowned scientists and technical experts, and well-known venture capital and angel investors.
Over nine months, EFL mentors work with admitted founders to set goals for the startups to accomplish and act as an informal advisory board to guide founders on how to best scale their businesses. Startups making progress are able to attract financing from investors in the program.
Consistent with its mission as a non-profit, EFL is a founders-first program and charges no equity or fees from participating startups. No NYU affiliation or relocation to NYC is required to participate. The program is appropriate for founders from around the world seeking deep connections to the thriving New York ecosystem or U.S. markets.
“Our mission is to bridge the gap between science and markets. We believe business strategy, validation by scientific peers, and connections to investors are critical for the successful commercialization of scientific breakthroughs. To that end, EFL provides founders access to an unparalleled network of business coaches, scientists, investors, and Stern MBA students to help transform their ideas into high-growth businesses,” said NYU Stern Professor Deepak Hedge, Founding Director of EFL.
Abzu was born from a desire to challenge the fundamental assumptions of contemporary AI, believing that the future of AI lies in the more lifelike simulation of self-organizing systems. Abzu’s pioneering machine learning technology is inspired by quantum mechanics and neural networks, resulting in a transparent and trustworthy AI. Founded in February 2018, Abzu is an applied research startup with offices in Copenhagen, Denmark and Barcelona, Spain.
Endless Frontier Labs (EFL) is a nine-month program at NYU Stern for early-stage science- and technology-based startups. Startup founders are advised by serial entrepreneurs, investors, and technical mentors to accomplish individualized business goals at eight-week intervals. These goals are designed to maximize each startup’s chance of growing into a high growth business. Startups that fail to make progress can be cut from the program at mentor discretion in order to optimize resources for startups that are excelling. Those that meet their goals are likely to attract investment from EFL mentors, as well as from one of the many venture capital firms that are represented in the program. While companies in the EFL program do not require an NYU affiliation to participate, all companies will benefit from access to and support from NYU scientists and Stern MBA students. Startups can also benefit from access to several in-kind services from EFL’s corporate partners, such as advice on intellectual property issues and related matters from global law firm Greenberg Traurig, LLP and server credits from Amazon Web Services. As EFL is a non-profit academic initiative of New York University’s Stern School of Business, EFL does not take equity or collect fees from startups. Further information and FAQ can be found on EFL’s website and on EFL’s official LinkedIn, Twitter, Facebook, and Instagram accounts.