Positive returns from AI-curated crypto portfolios

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22.04.2024
Aisot Technologies team

Through its solutions, Aisot Technologies Ltd helps professional investors optimize returns, mitigate risks, and boost operational efficiency. The recently launched AI Insights Platform has attracted institutional investors from Switzerland, the E.U., and the U.S and generated positive returns in just six months. The startup remains on a rapid growth trajectory, anticipating an 800% increase in revenue for 2024.

With the launch of its AI Insights Platform in October 2023, aisot introduced an innovative solution for qualified investors worldwide. The platform integrates various approaches from machine learning, AI, and quantitative finance, and is designed to build, validate, and customize investment strategies at scale while ensuring the highest level of security and confidentiality. Without any need for coding, customers can get individual portfolio recommendations down to the level of individual securities. By seamlessly merging cutting-edge technology and comprehensive insights, aisot is set to usher in a transformative era of multi-asset management, marking a pivotal moment in the evolution of financial strategies and investment methodologies.

Available exclusively to qualified investors, the startup continues to onboard customers – it has already attracted 23 registered investors and institutional clients across Switzerland, the E.U., and the U.S. Among aisot’s clients are active funds, family offices, and brokers.

“The onboarding process to the AI Insights Platform is comprehensive, often involving multiple stakeholders and requiring detailed demonstrations and pilot testing. This meticulous approach underscores the industry's cautious yet growing interest in advanced AI applications. While AI utilization is widespread among asset managers for basic tasks, its integration for more complex functions like portfolio construction and rebalancing remains nascent in the broader market”, explains Lukas Sieber, Head of Americas for Aisot.

Surging growth for existing products
Founded in 2019 as a spin-off from ETH Zurich, Aisot Technologies Ltd (aisot) developed the first reliable forecasts for clearly defined time horizons for investment professionals. Before launching the AI Insights Platform, aisot had already introduced several financial products, including an AI-driven Digital Assets Actively Managed Certificate (AMC) and a U.S. equity portfolio.

The AMC, launched in the fall 2023, focuses on cryptocurrency and has achieved over 110% growth in just six months, outperforming the industry benchmark index or ETH, both +100% return, in the same period. This product is a long-only, fully AI-driven crypto portfolio, designed to target volatility levels comparable to those of Bitcoin and Ethereum trackers while maximizing performance. On the equity side, aisot introduced a portfolio which mirrors the S&P 500 using only ten AI-selected stocks that are rebalanced weekly. The product has effectively demonstrated the capability of this selective approach to replicate market performance since its inception in January 2021.

Overall, aisot is on a rapid growth trajectory, anticipating an 800% increase in revenue for 2024. The company's project pipeline is expanding by roughly 30% month-on-month, underscoring its significant market penetration and expansion efforts. The planned financing round later this year or early next year is expected to significantly propel its growth.

Growing team with seasoned experts
With a core team of eight full-time employees, aisot has strategically bolstered its teams across research, development, and sales to further scale its offerings and enhance its market position. The startup recently added a seasoned expert from GenTwo to its team; Dr. Petter Kolm, “Qunat of the Year 2021”, a renowned professor of financial mathematics at New York University and former researcher at Goldman Sachs, has taken a more active role at aisot. As the head of ML/Quant applications, Kolm applies his profound knowledge in AI and quantitative methods to enhance asset management strategies and operations.

(RAN)

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