Loading organizations...
§ Private Profile · San Francisco, CA, USA
AI advisor providing personalized guidance and insights for retail investors, leveraging AI to analyze markets and support portfolio management.
Key people at Gaus.
Gaus was founded in 2025 by Daniel Tulha Hochstetler (Founder) and Bruno Koba (Founder).
Based in San Francisco, California, Gaus develops an artificial intelligence-powered advisory platform designed to provide personalized investment guidance and actionable insights specifically for retail investors. The proprietary software leverages advanced machine learning algorithms to continuously analyze broader financial markets, recommend specific trading strategies, and support ongoing portfolio management. Operating currently with a dedicated corporate scale of just two employees, the early-stage financial technology company focuses on delivering sophisticated market analytics directly to individual users. These specialized financial tools have traditionally been restricted to large institutional participants rather than everyday consumer brokerage accounts. By automating the complex research and advisory process, the digital platform assists non-professional traders in making informed, data-driven decisions regarding their personal asset allocations and risk management frameworks. Gaus was officially founded in the year 2025 by technology entrepreneurs Bruno Koba and Daniel Tulha Hochstetler.
Key people at Gaus.
Gaus was founded in 2025 by Daniel Tulha Hochstetler (Founder) and Bruno Koba (Founder).
Gaus is an AI-powered investment advisor designed specifically for retail investors, providing them with institutional-grade market tracking, deep research, and real-time alerts tailored to their personal portfolios. It addresses the information asymmetry between retail and professional investors by continuously monitoring markets 24/7, filtering out noise, and delivering actionable insights such as unusual insider activity, tailored company research, and scenario testing. This empowers individual investors to make better-informed decisions with the same analytical edge traditionally reserved for institutional players[1][2].
Founded by Bruno Koba and Daniel Tulha Hochstetler, Gaus serves retail investors who often struggle to keep pace with the vast data and analysis available to professionals. By automating and personalizing investment research, Gaus helps users track price movements, fundamentals, news, and analyst coverage efficiently. Its AI agents integrate seamlessly into investor workflows, offering features like watchlist monitoring, social media tracking for market-moving events, and portfolio risk alerts. This product enhances retail investor capabilities and contributes to democratizing access to sophisticated investment tools[1][2][4].
Gaus was founded by Bruno Koba, with experience at Nubank and Monashees, and Daniel Tulha Hochstetler, who has worked at Stripe and Robinhood. Their combined backgrounds span fintech, investing, and technology, giving them insight into both institutional and retail investing challenges. They recognized the fundamental disadvantage retail investors face compared to institutional investors, who have dedicated analyst teams and real-time data access. This gap inspired them to build Gaus as a personal AI investment analyst that brings institutional-level insights to individual investors[1][4].
The idea emerged from their firsthand experience of the retail investor struggle to synthesize fragmented information from brokerages, news sites, and forums. Early traction includes building a platform that automates market monitoring and research, delivering personalized, actionable intelligence that helps retail investors spot catalysts and validate investment ideas before they become mainstream[1].
Gaus rides the wave of AI democratization in fintech, particularly in retail investing, where AI has traditionally been confined to enhancing advisor workflows rather than empowering individual investors directly. The timing is critical as retail investors increasingly demand sophisticated tools that match institutional capabilities. Market forces such as the proliferation of data, social media-driven market events, and the rise of AI-driven automation favor platforms like Gaus that can synthesize complex information quickly and personalize insights.
While many established firms use AI to support advisors, Gaus focuses on retail investors themselves, addressing a significant gap in the market. This positions Gaus as a pioneer in retail-facing AI investment tools, potentially influencing how individual investors engage with markets and how fintech evolves to serve this segment more effectively[1][2][3].
Looking ahead, Gaus is poised to expand its AI capabilities and user base, further closing the gap between retail and institutional investing. Trends such as increased retail participation, demand for personalized financial technology, and advances in generative AI will shape its evolution. Gaus may deepen its integration with brokerage platforms, enhance scenario analysis, and broaden asset coverage.
As AI continues to transform investing, Gaus’s role as a retail-focused AI advisor could become increasingly influential, helping democratize access to sophisticated market intelligence and leveling the playing field for individual investors. This aligns with its founding mission to empower retail investors with the same edge that institutional players enjoy[1][2][3][4].
