In this edition of SlateCast, Nicholas Scott, the leading figure at Nemo.money, connected with Liam “Akiba” Wright and Nate Whitehill from CryptoSlate. Their engaging discussion revolved around the exciting potential of AI-driven investing, especially when it’s based on solid, verified information. Scott shared insights into Nemo’s innovative portfolio analysis engine, its robust privacy measures, and its unique features for uncovering valuable investment themes. He drew comparisons between the proactive regulatory environment in the UAE and the more measured approach in the UK. The conversation also explored how stablecoins could revolutionize frictionless financial transactions. A key theme emerged: the importance of offering guidance, not direct financial advice, to shape the future of customized and compliant financial technology.
From Concept to Award-Winning Reality
Nemo.money started its journey in 2021, entering a competitive landscape of investing apps. Scott revealed that the team quickly needed to identify a core user need to address. Instead of focusing solely on investor education, Nemo chose to highlight actionable investment opportunities that align with a user’s unique goals and risk tolerance. The focus is on empowering users to make informed decisions about what and when to buy, without providing specific investment recommendations.
Scott emphasized, “We are not authorized to provide… advice.” He clarified that Nemo presents various options and the relevant context, but ultimately, the investment choices remain with the user.
AI-Powered Guidance: Nemo’s Approach
At the heart of Nemo’s offering is its daily, AI-driven “portfolio insight” feature. With a simple tap, users receive a summarized overview of the factors impacting their holdings over the past day. This includes relevant news headlines and price movements, along with suggestions to enhance portfolio diversification. The goal is to save time and present “interesting narratives,” beyond just top performers, enabling users to understand their portfolio’s performance and explore related assets or ETFs to manage risk effectively.
Wright emphasized the critical point that any AI-generated summary must have a foundation in verifiable facts:
“The ability to synthesize information is impressive, but it starts with accurate data. Trust is impossible without it.”
Scott concurred, emphasizing Nemo’s commitment to keeping facts and language models separate. Nemo secures licenses for fundamental data, trading volumes, and market sentiment from leading financial data providers, then utilizes this accurate data to fuel its LLM (Large Language Model) for generating personalized insights.
“We learned early on that sourcing data from reputable providers is essential.”
Data Integrity: The Cornerstone of Strategy and Privacy
Nemo understands that not every feature requires the newest and most expensive AI model. For straightforward, template-driven updates, such as refreshed company health summaries generated from fundamental data, they use established models. However, for complex problem-solving tasks, like suggesting diversification strategies based on a user’s holdings, they opt for the latest models. Privacy is also paramount; user portfolios are anonymized before being processed, and Personally Identifiable Information (PII) never gets shared with external AI tools.
Regulatory Leadership: UAE vs. UK and the Role of Stablecoins
When questioned about which regions have the most forward-thinking regulations for AI and crypto, Scott highlighted the United Arab Emirates (UAE). He explained that Dubai’s willingness to experiment and fund innovative initiatives allows companies like Nemo to develop and refine their offerings at a faster pace. He contrasted this with the UK’s more cautious regulatory environment. The potential of stablecoins was also a topic of discussion, with Scott noting that clear regulatory frameworks could streamline the cross-border payments that brokers currently struggle with. This could allow crypto’s original vision of seamless value transfer to meaningfully reduce friction in the financial system.
Exploring Investment Opportunities Beyond the Obvious
Nemo’s platform includes thousands of instruments across various asset classes, including crypto accessible through CFDs. Deeper integrations are being explored. A crucial metric for the team is the diversity of user engagement, ensuring users aren’t solely focused on a few well-known names. Features grouping securities around specific investment themes (“AI infrastructure,” “carbon capture,” etc.) encourage exploration aligned with individual interests and goals, rather than simply pushing the most popular tech stocks.
Wright emphasized a common challenge in investment research: identifying lesser-known companies within a specific theme (e.g., suppliers to chip manufacturers). Nemo is developing a feature to automatically create thematic baskets based on user queries and explain the relevant sub-sectors in clear, everyday language.
Customized Experiences: From Briefings to AI-Driven Audio Updates
Nemo’s next step involves enhancing the portfolio briefing with format flexibility. Scott shared that the team is testing an AI-generated audio version, essentially a personalized “mini-podcast,” which adds timely context like upcoming macroeconomic events (FOMC meetings, non-farm payrolls) or crypto-specific catalysts. The plan is to tailor the depth and style of the content to the listener’s understanding. The long-term goal is to deliver content that meets users where they are – across different channels, languages, and levels of complexity – without being condescending or compromising data security.
Wright also inquired about market availability. Nemo initially launched under Abu Dhabi regulations and is gaining traction in the Middle East and Africa, with organic interest emerging from Europe. Expansion into the U.S. market remains a priority, with the team closely monitoring regulatory developments.
Wright noted, regarding CFDs: “It’s a trade, not an investment, isn’t it?” — highlighting the importance of aligning product design and disclosures with user intent and jurisdictional rules.
In Conclusion
The SlateCast episode featuring Nicholas Scott provided valuable insights into the future of AI-driven investing: prioritizing accurate data, emphasizing guidance over specific advice, and offering customized experiences without compromising privacy. Nemo’s innovative features, from discovery tools expanding beyond mega-cap stocks to AI-generated portfolio briefings, demonstrate how careful design choices can convert noise into valuable information.
As regulatory frameworks surrounding AI and stablecoins mature, and more jurisdictions adopt pragmatic rules, the integration of digital assets and traditional markets will accelerate. The combination of compliant innovation, user-centered design, and trustworthy data is poised to become a pivotal area to watch in the years ahead.