December 4, 2025 - Currently, 54% of investors use ChatGPT to assist in trading and investment decisions, but only 11% truly trust its results. In high-risk scenarios like financial markets, general AI often exhibits astonishing inaccuracies, leading to billions of dollars in capital misallocation. TrueNorth recently completed a $3 million fundraising round to develop specialized financial AI Agents that can fill this gap.

This pre-seed round was led by CyberFund, with participation from Delphi Labs, SNZ, GSR, and Ocular. The funds will be used for what the team calls the "reasoning layer of financial intelligence": a set of finance-specific AI that does not generate hallucinations when real money is involved.

TrueNorth co-founder Willy Chuang stated, "Every vertical should have its own specialized AI. Law has Harvey, healthcare has OpenEvidence. But finance is the riskiest of all verticals and is still using general models trained on Reddit posts and public networks. We are filling this gap."

The Problem with General AI: The Market is Too Fast, Context is Too Complex, and the Cost of Errors is Too High

Members of the TrueNorth team have previously worked at Meta, Temasek, and Goldman Sachs. The team is acutely aware that in a financial environment, general models are prone to generating hallucinations, overlook real-time market contexts, and lack the "structured reasoning" capabilities that professional traders use to handle volatility and risk.

Willy Chuang remarked, "General AI can easily fail in financial environments. The market changes too quickly, background information is too complex, and the cost of errors is too high. Financial intelligence must become specialized; we are making this a deliverable product."

This insight shapes TrueNorth's core argument: AI in the financial sector must be specialized, real-time, and grounded in expert reasoning. The platform transforms the reasoning frameworks of top traders into deployable AI Agents through structured trading strategies (Playbooks), real-time data integration, and self-developed models specifically trained around market logic.

Early results validate this approach. Internal testing shows that TrueNorth achieves a 98% accuracy rate on trading-related tasks, a 28% improvement over leading general models, while reducing response latency by 80%. On the product side, the 30-day retention rate for test users is 33%, approximately double the industry average.

Transforming Professional Traders into "Digital Twins"

Professional traders spend a significant amount of time each day reading the market, validating key price levels, managing risk, and recording and reviewing trades; much of this capability comes from years of accumulated pattern recognition and institutional knowledge. These tasks have often been difficult to automate in the past unless one has the engineering capability to build systems independently. Retail traders face the opposite problem: even with tools, they lack the market sense, interpretive skills, and trading frameworks necessary for stable profitability.

TrueNorth transforms the strategies and reasoning methods of experts into AI-driven "digital twins," addressing both types of pain points. With the help of trading strategies (playbooks) and agentic workflows, top traders can "write strategies into the system" using natural language; average traders can then make decisions and trades using logic consistent with that of the experts. TrueNorth has already partnered with several leading professional traders, collectively reaching over 1.5 million followers.

TrueNorth co-founder Alex Lee stated, "Our focus is not just to make AI answer questions, but to model how professionals interpret the market and how they perform structured reasoning for the first time. We are reducing complexity while maintaining trading discipline, allowing AI Agents to instantly identify opportunities, signal risks, and assist users in making decisions closer to those of professionals without decades of experience."

40,000 Users in Line: Financial Intelligence Will Become a Necessity

With the support of CyberFund, Delphi Labs, SNZ, GSR, and Ocular, along with strategic angel investors including Bryan Pellegrino (LayerZero), WeeKee (Virtuals Protocol), and Jordi Alexander (Selini Capital), TrueNorth is launching a public beta and opening it to over 40,000 whitelisted users.

"AI is changing the way people interact with applications," said CyberFund co-founder Konstantin Lomashuk. "TrueNorth will redefine how people trade. With TrueNorth, users will make better trades through AI-driven insights."

TrueNorth is working with early users to create agentic workflows that will define "AI-native investing": models that not only answer questions but also execute strategies, manage risks, and adjust strategies in real-time as market structures change.

Join the TrueNorth public beta now:

https://www.true-north.xyz/

About TrueNorth

TrueNorth is building a domain-specific AI infrastructure for finance, transforming the experiences and reasoning frameworks of professional traders into AI Agents that general investors can deploy. The platform combines structured reasoning, real-time data, self-developed models, and adaptive intelligence to provide context-aware, execution-ready financial AI, assisting users in making more reliable decisions in real markets.

Media and Partnership Inquiries: media@adventai.io

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