54% of investors now use ChatGPT for trading and investment decisions. Only 11% trust the results. That trust gap—43 percentage points—represents billions in misallocated capital. TrueNorth just raised $3M in pre-seed funding to build a domain-specific AI that doesn't hallucinate when money is on the line.
The Trust Gap: 54% Usage vs. 11% Confidence
More than half of investors are turning to general-purpose LLMs for market decisions, yet nearly nine out of ten won't act on the output. Willy Chuang, co-founder of TrueNorth, puts it bluntly: '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 are fixing that.' He argues generalized AI 'falls apart' in financial environments due to fast-moving markets, deep context, and costly mistakes. 'Domain-specific financial intelligence is not optional; it is the future.'
98% Accuracy, 80% Lower Latency — Hard Numbers
TrueNorth's approach turns elite trader expertise into AI agents using structured playbooks, real-time data fusion, and proprietary models trained on market logic. Internal benchmarks show 98% accuracy on finance-specific tasks, a 28% improvement over leading general models, and 80% reduction in latency. Beta users demonstrate 30-day retention at 33%, roughly double the industry average. The startup has already partnered with leading educators representing over 1.5 million cumulative followers.
Serving Both Professional and Retail Traders
Professional traders spend hours scanning markets, validating levels, managing risk, and journaling decisions—work that traditionally requires engineering skills to automate. Retail traders face the opposite problem: they lack the pattern recognition and frameworks for consistent execution. TrueNorth lets experts encode their strategies in natural language to create AI-powered 'digital twins,' while everyday traders act with the logic and discipline of those experts. Co-founder Alex Lee explains: 'Our platform is the first to model how professionals actually reason through markets. Agents identify trade setups and highlight risks in real time, so users don't need decades of pattern recognition to act like a pro.'
Backed by CyberFund, Public Beta Now Open
The round was led by CyberFund, with participation from Delphi Labs, SNZ, GSR, and Ocular, plus strategic angels including Bryan Pellegrino (LayerZero), WeeKee (Virtuals Protocol), and Jordi Alexander (Selini Capital). CyberFund co-founder Konstantin Lomashuk said: 'TrueNorth will redefine how people trade—with AI-powered insights, people will trade better.' The public beta is now open, with a waitlist of over 40,000 users. TrueNorth aims to build AI-native investing workflows where models don't just answer questions but execute strategies, manage risk, and adapt to regime changes in real time.