DeFi Planet

San Francisco, California, USA, December 4th, 2025, Chainwire

54% of investors now use ChatGPT for trading and investment decisions. Only 11% trust the results. That gap, between AI’s promise and its spectacular failure in markets, represents billions in misallocated capital. TrueNorth just raised $3M to build the specialized intelligence that closes it.

The pre-seed round, led by CyberFund with participation from Delphi Labs, SNZ, GSR, and Ocular, funds what the team calls “the reasoning layer for financial intelligence”: domain-specific AI that doesn’t hallucinate when money’s on the line.

“Every vertical should have a specialized AI,” says Willy Chuang, co-founder at TrueNorth. “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 Generic AI Problem: Fast Markets, Slow Models

Drawing on experience across Meta, Temasek, and Goldman Sachs, the TrueNorth team recognized firsthand how generic models hallucinate, miss market context, and lack the structural reasoning professional traders use to navigate volatility.

“Generalized AI falls apart in financial environments,” says Willy Chuang, co-founder at TrueNorth. “Markets move too fast, the context is too deep, and mistakes are too costly. Domain-specific financial intelligence isn’t optional; it’s the future. And we’re the first to deliver it.”

This insight shaped TrueNorth’s core thesis that financial AI must be specialized, real-time, and grounded in expert reasoning. The platform converts elite trader expertise into AI agents through structured playbooks, real-time data fusion, and proprietary models trained specifically on market logic.

Early results validate the approach. Internal benchmarking shows 98% accuracy on finance-specific tasks, a 28% improvement over leading general models, while reducing latency by 80%. Beta users demonstrate 30-day retention at 33%, roughly double industry averages.

Expert traders as Digital Twins

Professional traders spend hours each day scanning markets, validating levels, managing risk, and journaling decisions—work that traditionally can’t be automated without engineering skills. Retail traders face the opposite challenge: even with tools, they lack the pattern recognition and frameworks needed to trade with consistency.

TrueNorth solves both problems by turning expert workflows into AI-powered digital twins. Through structured playbooks and agentic workflows, top traders can now encode their strategies using natural language, while everyday traders can act with the logic and discipline of the experts they follow. The startup has already partnered with leading educators, representing more than 1.5 million cumulative followers.

“Our platform is the first to model how professionals actually reason through markets. It abstracts complexity while preserving discipline,” explained Alex Lee, co-founder at TrueNorth. “Having agents identify trade setups and highlight risks in real-time, users can act with the logic of professionals without needing their decades of pattern recognition and institutional knowledge.”

40,000 Users Queued for Financial Intelligence

With backing from CyberFund, Delphi Labs, SNZ, GSR, and Ocular, plus strategic angels including Bryan Pellegrino (LayerZero), WeeKee (Virtuals Protocol), and Jordi Alexander (Selini Capital), TrueNorth is launching its public beta to a waitlist of 40,000+ users.

“AI is transforming the way people interact with apps.” says Konstantin Lomashuk, co-founder at Cyberfund. “Truenorth will redefine how people trade. With Truenorth people will trade better with AI-powered insights.”

The company is working with early adopters to co-build the agentic workflows that will define AI-native investing, where models don’t just answer questions but execute strategies, manage risk, and adapt to regime changes in real time.

Public beta will be opened today. Link to sign up below.

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

Invite code: ABEAF9

About TrueNorth

TrueNorth builds domain-specific AI infrastructure for finance, translating professional trader expertise into adaptive intelligence that everyday investors can deploy. The platform combines structured reasoning, real-time data, and proprietary models to deliver financial insights that are accurate, context-aware, and execution-ready.