TrueNorth Raises $3M to Build Specialized AI for Trading

The funding round, led by CyberFund with participation from Delphi Labs, SNZ, GSR, and Ocular, underscores a growing recognition of a critical flaw in current financial AI. As co-founder Willy Chuang explains, “Finance, the highest-stakes domain, is still using models trained on Reddit threads and the open web.” This reliance on generalized intelligence, the team argues, is fundamentally mismatched with market realities where speed, deep context, and precision are paramount. “Generalized AI falls apart in financial environments,” Chuang states. “Markets move too fast, the context is too deep, and mistakes are too costly.”

TrueNorth’s thesis is that financial AI must be specialized, real-time, and grounded in expert reasoning. Drawing on its team’s experience across Meta, Temasek, and Goldman Sachs, the platform is engineered to convert elite trader expertise into AI agents. This is achieved through structured playbooks, real-time data fusion, and proprietary models trained explicitly on market logic. The early results are compelling: internal benchmarking shows 98% accuracy on finance-specific tasks, marking a 28% improvement over leading general models, while simultaneously reducing latency by 80%.

TrueNorth’s solution addresses two distinct market challenges. For professional traders, it automates the hours spent daily on scanning markets, validating levels, and managing risk—work that traditionally required engineering skills to codify. For retail traders, it provides the pattern recognition and disciplined frameworks they lack, even with existing tools. The platform bridges this gap by turning expert workflows into AI-powered “digital twins.”

“Our platform is the first to model how professionals actually reason through markets,” explained co-founder Alex Lee. “It abstracts complexity while preserving discipline.” Through structured playbooks and agentic workflows, top traders can encode their strategies using natural language. In turn, everyday traders can leverage these digital twins to act with professional-grade logic and risk management. This approach has already attracted partnerships with leading educators representing a cumulative audience of over 1.5 million followers. Beta user engagement further validates the model, demonstrating a 30-day retention rate of 33%, roughly double the industry average.

Bolstered by its $3 million raise and strategic angel investors like Bryan Pellegrino of LayerZero, WeeKee of Virtuals Protocol, and Jordi Alexander of Selini Capital, TrueNorth is now launching its public beta to a waitlist exceeding 40,000 users. The ambition extends beyond providing better answers. “AI is transforming the way people interact with apps,” says Konstantin Lomashuk, co-founder at CyberFund. “Truenorth will redefine how people trade.”

The company is working with early adopters to co-build what it terms “AI-native investing,” where models do not merely answer questions but execute strategies, manage risk, and adapt to market regime changes in real time. By closing the gap between AI’s adoption and its trustworthiness, TrueNorth is positioning its specialized intelligence as the essential infrastructure for the next era of finance, where trading decisions are powered not by generic chatbots but by domain-specific agents that reason like seasoned professionals.