We are seeking aligned investors and strategic partners to bring Quantum Machine Learning into the next era of financial intelligence.
We also warmly welcome collaboration with teams and individuals passionate about the stock market — traders, quants, researchers, and enthusiasts alike.
Connect on LinkedInPlatform Overview
QML
Quantum Machine Learning core engine
5+
Analytical dimensions — ML · Quantum · Monte Carlo · Sentiment · Events
Investment Highlights
Three structural advantages that create a durable moat.
One of the very few platforms deploying VQC (Variational Quantum Circuits) for real market structure recognition — not a proof-of-concept.
ML + Quantum + Monte Carlo + Sentiment + Event Calendar unified in one interface — institutional-grade capability made accessible.
We don't sell direction calls — we sell probability distributions. Closing the information gap between retail traders and institutions.
Traction
Early stage — metrics growing steadily.
6+
Core modules
QML · Backtesting · Prediction...
10K+
Monte Carlo runs
per single prediction
5
Analytical dimensions
fused model
Early
Funding stage
Pre-Seed / Seed
Use of Funds
Focused on core moats — disciplined execution over sprawl.
40%
Quantum R&D
Deepen VQC model accuracy, expand quantum feature engineering, and establish research partnerships with leading institutions.
30%
Product & Engineering
Improve real-time signal reliability, scale batch analytics infrastructure, and refine the user experience.
20%
Market & Compliance
Enter new markets, build out regulatory frameworks, and develop institutional client pipelines.
10%
Operations Reserve
Infrastructure costs, cloud compute resources, and a contingency buffer for team scaling.
Roadmap
Clear milestones. Realistic execution cadence.
Now
MVP validation & seed fundraising
Six core modules live. Monte Carlo + QML dual-engine validated. Initiating Pre-Seed / Seed conversations with aligned investors.
6–12 months
Monetisation & user growth
Launch subscription tiers, integrate institutional data feeds, explore B2B partnerships, and hit key monthly active user milestones.
12–24 months
Scale & Series A
Expand to multi-asset classes (options, FX, crypto), penetrate Asia-Pacific institutional markets, and close Series A financing.
Open Collaboration
We welcome teams and individuals who share a deep interest in the stock market.
Share strategies, back-test ideas together, and stress-test signals using our QML + Monte Carlo engine.
Co-develop features, contribute models, or publish findings powered by real probabilistic market data.
Partner as a beta group, integrate our analytics into your workflow, or build jointly on top of our platform.
No formal pitch required — if you are curious about probabilistic trading, quantum analytics, or simply want to explore ideas, reach out on LinkedIn. We are always open to a conversation.
Founder
We believe in transparency and direct conversation.
Haiyun H.
Founder · Quantum ML & Quantitative Strategy
Working at the intersection of Quantum Machine Learning and quantitative finance, focused on translating frontier algorithms into actionable trading analytics. Believes that combining probabilistic thinking with quantum computing will fundamentally reshape information parity between retail investors and institutions.
Start the conversation
Whether you are an angel, a VC, a strategic partner, or a team and individual passionate about the stock market — we welcome every conversation.
This page is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation of any security or investment. All forward-looking statements reflect current expectations and are subject to change. Investment decisions should be made based on your own due diligence and risk assessment.