TrueNorth Raises $3M to Build AI for Financial Markets
Generally, I Think You Should Know That TrueNorth, a startup focused on building domain-specific AI for finance, has raised $3 million in a pre-seed funding round. Obviously, The company aims to bridge the gap between the promise of AI and its current limitations in financial markets, which is pretty cool. Normally, I would say that this is a big deal, but Honestly, it’s a really big deal because it can change the way we do finance.
Always, You Should be aware of the funding round, which was led by CyberFund, with participation from Delphi Labs, SNZ, GSR, and Ocular. Usually, The funding will support the development of what the team calls “the reasoning layer for financial intelligence”, which is specialized AI that avoids the pitfalls of generic models when dealing with financial data.
Interestingly, Willy Chuang, co-founder at TrueNorth, emphasizes the need for specialized AI in finance, saying “Every industry should have its own specialized AI”, which makes sense to me. Naturally, He says “Legal has Harvey, healthcare has OpenEvidence, but finance, the highest-stakes domain, is still using models trained on Reddit threads and the open web, which is kinda crazy.
Apparently, Generic AI models often produce inaccurate results, lack market context, and are too slow for fast-moving financial markets, which is a problem. Normally, The platform converts elite trader expertise into AI agents through structured playbooks, real-time data fusion, and proprietary models trained specifically on market logic, which sounds pretty useful.
Generally, I Think The platform has some key features, including structured reasoning layers tailored for finance, real-time data integration for immediate market relevance, and proprietary models that understand market logic, which are all important. Usually, Internal benchmarking shows 98% accuracy on finance-specific tasks—a 28% improvement over leading general models—and an 80% reduction in latency, which is impressive.
Obviously, Beta users have demonstrated a 33% retention rate over 30 days, roughly double the industry average, which is great news. Normally, The platform solves two major problems: professional traders can automate hours-long tasks without engineering skills, and retail traders gain access to the logic and discipline of expert traders through AI-powered digital twins.
Interestingly, Top traders encode their strategies using natural language, while everyday traders act on those encoded strategies, which is a good system. Always, You Should know that the platform already partners with leading educators, reaching more than 1.5 million cumulative followers, which is a big deal.
Usually, Backers include Bryan Pellegrino (LayerZero), WeeKee (Virtuals Protocol), and Jordi Alexander (Selini Capital), which is a good team. Naturally, Konstantin Lomashuk, co-founder at CyberFund, believes TrueNorth will redefine how people trade, saying “AI is transforming the way people interact with apps, TrueNorth will redefine how people trade, with TrueNorth, people will trade better with AI-powered insights”.
Generally, I Think The company is co-building agentic workflows with early adopters, defining AI-native investing where models not only answer questions but also execute strategies, manage risk, and adapt to regime changes in real time, which is the future. Obviously, Public beta sign-ups are now open, so You Should join the waitlist of over 40,000 users and experience finance-specific AI intelligence firsthand.
Always, You Should be aware of the fact that TrueNorth is changing the game, and You Should be a part of it. Normally, I would say that this is a good opportunity, but Honestly, it’s a great opportunity, so Don’t miss out.
