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RealNorth has raised $3 million in pre-seed funding to accelerate the development of an AI system specifically designed for financial decision making.
The funding aims to bridge the widening gap between the popularity of general AI tools among investors and the lack of confidence in their results. While more than half of modern investors now rely on tools like ChatGPT for guidance, only a small portion consider these systems reliable for market-sensitive decisions. TrueNorth believes the problem is structural: mainstream AI is based on general internet data rather than financial logic, industry frameworks, or real-time conditions.
The funding round was led by CyberFund, with participation from Delphi Labs, SNZ, GSR and Ocular, as well as several notable angel investors.
Building AI that thinks like a financial professional
TrueNorth’s founders, building on previous experiences at Meta, Temasek and Goldman Sachs, have noted that generalized models often misinterpret market contexts, generate misleading insights or fail to reason under pressure. Their solution is what they describe as “a reasoning layer for financial intelligence”: AI built from the ground up for markets.
 Commenting on the project, Willy Chuang, co-founder of RealNorth stated:
“Every industry should have a specialized AI. Legal has Harvey. Healthcare has OpenEvidence. But finance, the highest-stakes domain, still uses models trained on Reddit threads and the open web. We’re solving that.”
The company’s early internal testing already shows promising performance: 98% task accuracy, significantly outperforming leading general-purpose models and operating at significantly lower latency. Early beta users are also showing strong retention, indicating that the platform is resonating with traders looking for reliable, consistent reasoning tools.
Professional traders are turning into digital twin agents
One of TrueNorth’s signature innovations is its ability to transform expert trading workflows into AI-driven agents. Professional traders typically rely on a combination of pattern recognition, risk assessment, journaling and rapid market scanning, tasks that are difficult to automate without extensive engineering.
TrueNorth’s system allows experts to code their strategies using natural language and structured playbooks, effectively creating a “digital twin” of their decision-making processes. Retailers, in turn, gain access to tools that reflect the logic and discipline of seasoned professionals, without requiring years of market experience.
Co-founder Alex Lee explains that the platform not only generates answers, but models how experts think through changing circumstances, allowing users to identify setups, assess risks and execute decisions more consciously.
TrueNorth has already established partnerships with leading trading educators whose combined audience exceeds 1.5 million followers.
Public beta launches to over 40,000 waitlisted users
Backed by an investor lineup that includes CyberFund and influential industry figures such as Bryan Pellegrino (LayerZero), WeeKee (Virtuals Protocol) and Jordi Alexander (Selini Capital), RealNorth is now opening its public beta phase to over 40,000 waitlisted users.
CyberFund co-founder Konstantin Lomashuk believes the company represents a major shift in how traders will interact with markets, emphasizing that AI-powered workflows will redefine modern investing.
The startup is actively working with early adopters to refine agentic workflows that support AI-native trading, systems that can not only interpret data but also manage strategies, assess risk, and adapt to new market environments.
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