RISE Aims To Revolutionize Institutional Trading With Artificial Intelligence

As new technologies slowly become a part of our everyday lives, software company RISE Wealth Technologies believes the future of investing lies in artificial intelligence (AI) and machine learning (ML).

And founder Stefan Tittel is very confident about his company’s future, telling Entrepreneur that he can “see $12-plus billion institutional capital flowing into RISE strategies over the next five years.”

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Based in Munich, Germany, RISE provides solutions for the development of commercial trade strategies based on ML and AI. The company has so far raised $11 million, and last year, the company announced its plans for the largest European Security Token Offering (STO) to date, with plans for a target issue volume of $120 million.

Entoro Capital, an investment bank and advisory group for traditional and digital securities, is leading the capital raise for the STO, which first launched in July 2019 and is focused on institutional and professional private investors. The minimum investment stands at 100,000 Euros for German investors and $50,000 for US investors, with token holders able to purchase in Euro, US Dollar, Bitcoin or Ether.

Tittel explained at the time that the STO will allow RISE to “link future technology with an exciting investment model” that includes a repayment claim, profit share and another investment opportunity during an exit.

RISE boasts a team of serial entrepreneurs who have in turn hired developers, quants, traders and mathematicians to create a self-learning trading system that can take some of the workload off financial analysts’ plates. The patent-pending platform has price data from over ten years along with hundreds of statistical indicators, and also uses 36 server cores to process terabytes of new data in real time.

“At RISE, we strongly believe that the largest asset manager of the future will be a tech company,” Tittel said, adding that asset managers and investors will also be able to use automated and data-driven algorithms when making trading decisions.

Tittel also talked about how AI can help financial institutions maneuver changing demographics, higher customer expectations, the disruption of digital tech, and stricter regulations—all of which can have an impact on a bank’s trading strategies.