Aisot Technologies
HQ Address
Hohlstrasse 188, 8004 Zurich, Switzerland
Website Address
Business introduction
See beyond, invest with AI
Lead the market with AI-driven investment insights
Who we are
Founded in 2019 as a spin-off from ETH Zurich, Aisot Technologies (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.
Aisot Technologies Solutions
AI Insights Platform
AI insights dashboard: fine-tune and optimize your strategies This AI-based portfolio optimization application provides an extensive range of features for investors. With unlimited runs, users can explore multiple scenarios and fine-tune their investment strategies. The portfolio builder allows users to construct personalized portfolios by selecting from a variety of assets and......
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Investment Co-Pilot
Our Large Language Models, built on the open-source Llama 400B, streamline portfolio analysis via chat interfaces. These LLMs integrate various risk models and portfolio optimization frameworks to make analysis easier and more effective. Streamlined portfolio analysis Unlike generic applications like ChatGPT, the Investment Co-Pilot continuously interacts with aisot’s AI-powered quant tools, validating......
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view solutionTimed-Box LLMs
Clients can now access this world-first innovation on the AI Insights Platform or as a downloadable model, seamlessly integrating it into their machine learning workflows. It strengthens investment strategies by addressing look-ahead bias in financial forecasting using time-boxing—a technique ensuring insights are based only on data available at prediction time. Enhancing......
