We amplify investing with AI
Discover aisot's story and meet the team composed of seasoned professionals with experiences in ml, data science, nlp, blockchain, digital assets and beyond.
Empowering Asset and
Wealth Managers
We believe in the unparalleled value of data and strive to fully unleash its potential in all aspects of our work. Our mission is to assist organizations in deriving value and meaningful insights from vast volumes of data. Through our innovative products, our clients can optimize returns, mitigate risks, and boost operational efficiency.
Who we are
Founded in 2019 as a spin-off from ETH Zurich, Aisot Technologies AG (aisot) developed the first reliable forecasts for clearly defined time horizons for investment professionals. aisot has been serving some of the leading asset and wealth management firms in Europe and in the U.S. All of aisot’s products are created with institutional standards, focused on usability and quality. aisot’s high-performing team is composed of seasoned professionals and scientists in the fields of AI, Natural Language Processing, and Quantitative Finance.
Vision
Our vision is to launch the new era of asset management, where fully automated and AI-powered investment products become the norm. We believe in harnessing the power of advanced technology to remove emotions from investment decision-making, and to provide our clients with investment products that are tailored to their individual objectives.
Team
Dr. Nino Antulov-Fantulin
Co-founder & Head of Research
Dr. Nino Antulov-Fantulin specializes in finance, machine learning, complex systems, and AI in asset management. He holds a habilitation degree from ETH Zurich and a Ph.D. from the Faculty of Electrical Engineering and Computing, Zagreb, Croatia. He holds privatdozent position at ETH Zurich and recently was a visiting researcher at Courant Institute of Mathematical Sciences (USA), and Scuola Normale Superiore (Italy).
Dr. Petter Kolm
AI & Quant Advisory Lead
Dr. Petter Kolm, awarded Quant of the Year in 2021, is a globally leading expert in quantitative portfolio theory, trading strategies, and risk management. A former member of Goldman Sachs Asset Management's Quantitative Strategies Group, he holds a doctorate in mathematics from Yale and has coauthored several influential books on finance and portfolio optimization.
Dr. Thomas Asikis
Sr Deep Learning Engineer
Dr. Thomas Asikis is a researcher specializing in machine learning, optimization, game theory, and control applied to social, financial, and governance systems. He holds a doctorate from ETH Zurich and a postdoc in Game Theory at UZH. Thomas has professional experience in ML research and software engineering at Incelligent and SLEED.
Dr. S.A.
Senior Quant / ML Engineer
Filip Radović
ML Engineer
Filip Radović is a highly skilled computer scientist with expertise in machine learning, data analysis, and predictive modeling, honed through roles at aisot, Koios Consulting and the Ruđer Bošković Institute. Filip holds a bachelor and master degree in computer science from the Faculty of Electrical Engineering and Computing, University of Zagreb.
Deborrah Schaer
Business Development Consultant
Deborrah Schaer brings over 10 years of experience in sales, consulting, business development, and VC. Holding a bachelor’s and master’s degree from the University of St. Gallen, she is also an investor in African tech startups via Launch Africa and co-founder of toaa,.
Lukas Sieber
Head of Marketing & Americas
Lukas Sieber is an accomplished business development and marketing executive with 15 years of experience at the intersection of tech, diplomacy, and science. Lukas is a co-founder of the Mindfire Foundation, advancing research on human-level AI,, and holds a master degree from the University of Zurich, and certifications from Georgetown, and Columbia.
Advisors
Lisa Sennhauser
Experienced senior finance executive with a proven leadership record and a strong growth mindset
Karen Wendt
Editor Sustainable Finance, Author, Advisor Taxonomy Compliant Investing, President SwissFinTechLadies
Chris Bruppacher
Financial industry expert with extensive business and technology leadership skills
Fabrizio Lillo
Full Professor of Mathematical Methods for Economics and Finance at the University of Bologna and at the Scuola Normale Superiore in Pisa
Ce Zhang
Co-Founder & CTO Together.ai and a leading scientist in automated machine learning
Joel Nathaniel Bloch
Founding partner & CIO/CTO at Trinnacle Capital Management, member of the board of advisors of Darling Ventures
Ivo Ugrina
IT and data analysis leader working for more than two decades on large scale quantitative projects