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TrueNorth has raised $3 million in pre-seed funding to accelerate the development of an AI system designed specifically 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 trust in their outputs. Although more than half of modern investors now lean on tools like ChatGPT for guidance, only a small fraction considers these systems reliable for market-sensitive decisions. TrueNorth believes the problem is structural: mainstream AI is built 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, drawing on prior experience at Meta, Temasek, and Goldman Sachs, observed 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 at TrueNorth stated:
“Every vertical should have a specialized AI. Legal has Harvey. Healthcare has OpenEvidence. But finance, the highest-stakes domain, is still using models trained on Reddit threads and the open web. We’re fixing that.”
The company’s early internal testing already shows promising performance, achieving 98% task accuracy, significantly outperforming leading general-purpose models and operating with markedly reduced latency. Early beta users also demonstrate strong retention, suggesting the platform is resonating with traders seeking reliable, consistent reasoning tools.
Turning Professional Traders Into Digital Twin Agents
One of TrueNorth’s signature innovations is its ability to convert expert trading workflows into AI-driven agents. Professional traders typically rely on a combination of pattern recognition, risk evaluation, journaling, and rapid market scanning, tasks that are difficult to automate without extensive engineering.
TrueNorth’s system enables experts to encode their strategies using natural language and structured playbooks, effectively producing “digital twins” of their decision-making processes. Retail traders, 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 doesn’t merely generate answers but models how experts think through evolving conditions, allowing users to identify setups, assess risks, and execute decisions more deliberately.
TrueNorth has already secured partnerships with leading trading educators whose combined audiences exceed 1.5 million followers.
Public Beta Launches to 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), TrueNorth is now opening its public beta phase to more than 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 are set to redefine modern investing.
The startup is actively working with early users to refine agentic workflows that support AI-native trading, systems capable not only of interpreting data but also of managing strategies, assessing risk, and adapting to new market environments.
Source: https://zycrypto.com/truenorth-secures-3m-to-develop-purpose-built-financial-ai/