TrueNorth raises $3 million to build dedicated AI for finance.

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-purpose AI often exhibits alarming inaccuracies, leading to billions of dollars in capital misallocation. TrueNorth recently completed a $3 million funding round to build 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 "inference layer of financial intelligence": a dedicated AI for the financial field that won't produce illusions when real money is involved.

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

Problems with general AI: Markets move too fast, scenarios are too complex, and the cost of errors is too high.

TrueNorth's team members previously worked at Meta, Temasek, and Goldman Sachs. The team clearly recognized that in the financial environment, generic models are prone to generating illusions, ignoring real-time market context, and lacking the "structured reasoning" capabilities that professional traders use to handle volatility and risk.

Willy Chuang stated, "General AI is prone to failure in the financial environment. Markets change too rapidly, 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 fusion, and proprietary models specifically trained around market logic.

Early results validated this approach. Internal testing showed that TrueNorth achieved 98% accuracy on transaction-related tasks, a 28% improvement over leading general-purpose models, while reducing response latency by 80%. On the product side, the 30-day retention rate of test users was 33%, approximately twice the industry average.

Turn professional traders into "digital twins".

Professional traders spend a significant amount of time each day reading the market, verifying key price levels, managing risk, and recording and reviewing trades; much of this skill comes from years of accumulated pattern recognition and institutional knowledge. These tasks were historically difficult to automate unless one had the engineering ability to build their own system. Retail traders, on the other hand, face the opposite problem: even with the tools, they lack the market feel, analytical skills, and trading framework necessary for consistent profitability.

TrueNorth transforms expert strategies and reasoning into AI-driven "digital avatars," addressing two key pain points simultaneously. Leveraging playbooks and agency workflows, top traders can "write" their strategies into the system using natural language; meanwhile, average traders can use the same logic as experts to make decisions and trade. TrueNorth has partnered with numerous leading professional traders, reaching over 1.5 million followers.

TrueNorth co-founder Alex Lee stated, "Our focus is not on making AI simply answer questions, but on modeling for the first time how professionals interpret the market and perform structured reasoning. We're reducing complexity while preserving trading discipline, enabling AI Agents to instantly identify opportunities, alert to risks, and assist users in making more professional-level decisions even without decades of experience."

40,000 users are in the queue: Financial intelligence will become a necessity.

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

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

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

Join TrueNorth public beta now:

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

About TrueNorth

TrueNorth is building a dedicated AI infrastructure for the financial sector, transforming the experience and reasoning frameworks of professional traders into AI agents that can be deployed and used by general investors. The platform combines structured reasoning, real-time data, proprietary models, and adaptive intelligence to provide context-aware and execution-ready financial AI, assisting users in making more reliable decisions in real markets.

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