Built by Traders, Powered by AI
We got tired of paying hedge fund fees for strategies we could build ourselves. So we built something better.
uptogAIn started the way most good ideas do — with frustration. Our founding team spent years as engineers and quant traders, watching hedge funds charge 2-and-20 for strategies we knew we could replicate. The tools existed. The data existed. The only thing missing was a platform that put it all together without the institutional price tag.
So we built one. We started with a multi-strategy trading agent that runs live, managing real portfolios across crypto, stocks, and forex. It uses ML-driven regime detection to adapt to changing markets, multi-agent consensus to filter out noise, and automated risk management to protect capital. The same kind of infrastructure that used to require a team of PhDs and a seven-figure budget.
Our mission is straightforward: democratize quantitative trading. Not just portfolio tracking — actual AI-driven execution, risk management, and market analysis. We believe every investor deserves access to the tools that institutions have kept behind closed doors.
Our Approach
Three principles guide everything we build
Every trading decision is driven by machine learning — from regime detection to position sizing. Our models analyze markets 24/7 across multiple timeframes, finding patterns humans miss.
Automated stop-losses, dynamic position sizing, and drawdown protection are built into every trade. Our system doesn't just find opportunities — it manages the downside first.
Every trade comes with a full explanation: which strategies triggered, what the AI saw, and why it acted. No black boxes. You see exactly what we see.
12+
Trading Strategies
24/7
Market Monitoring
99.9%
Platform Uptime
The Team
People who build the system and trade with it
Engineer and quant trader. Built the first version of the trading system while managing his own portfolio.
Full-stack architect with a background in high-frequency trading infrastructure and distributed systems.
Former institutional quant. Designs the ML pipeline, strategy logic, and risk management framework.
Product leader focused on making complex trading tools accessible to individual investors.
We are building the future of automated trading. If you want to work on hard problems at the intersection of AI and finance, we want to hear from you.
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