Aisot: The Sword Startup Challenge finalist building an AI layer for portfolio and wealth management

Meet Stefan Klauser, CEO of aisot. The fintech startup provides predictive AI models and a portfolio intelligence platform for institutional investors. Stefan is one of the 5 finalists of the Sword Startup Challenge, competing for venture clienting opportunities, expert support, and industry exposure.

Sword Switzerland, a global technology transformation company, has launched the second edition of the Sword Startup Challenge, its Swiss innovation competition dedicated to startups developing solutions for the wealth management sector. Organized in collaboration with Venturelab, the program began in January and will run through June 2026.

In which situations does your solution create the most impact, and who is usually involved on the customer side?
aisot supports wealth managers, banks, family offices, and asset managers in building scalable, personalized, data-driven investment solutions. Use cases include portfolio customization, thematic products, portfolio construction and optimization, and AI-assisted investment decisions. Its agent operates only within validated platform outputs, enabling controlled access to insights, signals, scenarios, and explanations without unsupported claims. Users include investment, product, CIO, portfolio, and quant teams, later joined by risk, compliance, and IT.

What kind of validation have you seen so far that your solution creates value?
Validation comes from long-term client use, financial institution interest, and partner feedback. A family office has used the platform for nearly three years, renewed repeatedly, and invested in the late seed round. Clients report 60-90% time savings in research and reporting. Experts highlight the multi-factor and LLM news models as strong sentiment tools, with one calling it “currently the best solution in the market.” The agent improves usability by making outputs easier to access and interpret.

If you started a pilot with one of Sword’s clients, what would success look like in the early stages?
Early-stage success means proving a wealth-management use case where aisot generates actionable portfolios, signals, or insights and supports professionals in interpreting them in a controlled workflow. Success is measured by faster portfolio creation, better personalization, workflow efficiency, user feedback, and a clear path to production.

From your perspective, what makes a collaboration between a startup and a large corporate successful?
Successful collaboration starts with a clear business need, an empowered sponsor, and a realistic pilot scope. Startups need access to the right experts, data, and decision-makers; corporates need speed and openness to test new approaches. The strongest collaborations avoid “innovation theatre.” They define success criteria, keep feedback loops short, ensure shared ownership, and set a path from pilot to production when value is proven. In financial services, trust and control matter. aisot’s products therefore operate within defined platform outputs rather than as an unrestricted general-purpose AI layer.

What specific opportunity do you see in the Sword Startup Challenge, and how would you leverage it to create value with one of Sword’s corporate clients?
The Sword Startup Challenge offers an opportunity to connect aisot’s AI-native investment technology with wealth-management needs at large financial institutions. We would use it to co-design a pilot with Sword and one of its corporate clients, exploring use cases such as personalized portfolio construction, explainable optimization insights, thematic investment solutions, and scalable advisory support. aisot would provide the investment intelligence layer, AI-driven portfolio outputs, and a controlled agent interface, while Sword would support enterprise integration and client context. The goal is to demonstrate improved personalization and faster portfolio generation, along with a trusted way for advisors to interact with AI-supported outputs in an enterprise-ready setup.