We're building the first AI-native hedge fund that systematically discovers trading strategies through machine learning.
We don’t pick stocks—we discover strategies. Like ML redefined drug discovery, we use it to uncover alpha. Our platform scans millions of possibilities to find hidden patterns no human could spot.
ML continuously scans 5,500+ stocks and crypto assets, detecting anomalies, patterns, and regime changes in real-time.
Neural networks analyze opportunities, predicting price movements, volatility, and optimal entry/exit points with confidence scores.
Thousands of strategy variations tested across historical data. Only high-performing strategies proceed to live deployment.
Validated strategies deploy to production with continuous monitoring and real-time performance tracking.
Identifies statistical outliers across price, volume, and volatility
Deep learning models forecasting directional moves and targets
Q-learning agents optimizing entry, exit, and position sizing
XGBoost combining 50+ risk factors for portfolio protection
Systematic trading strategies across equity, crypto, fixed income, and derivatives markets
Multi-asset long/short strategies across equity and digital assets with quantitative overlay
Proprietary machine learning models for pattern recognition and optimization
AI-powered chat interface that can execute trades and provide intelligent research synthesis. Our AI assistant draws from real-time web data, market research, and internal analytics to answer complex investment questions and place orders directly.
Natural language commands to execute trades, modify positions, and manage portfolio allocations in real-time
Get comprehensive market analysis by asking questions—AI pulls from web research, news, and real-time data
Real-time portfolio monitoring and risk management powered by ML. Track strategy performance, attribution analysis, and ensure all positions align with ML-optimized parameters.
Proprietary technology infrastructure designed for institutional-scale quantitative research and automated strategy execution
Comprehensive testing and validation framework for systematic trading strategies across multiple market conditions.
Advanced analytical systems for processing market data and generating actionable insights.
Automated optimization and continuous improvement of trading system performance.
Alternative investment strategies are increasingly driven by quantitative methods and artificial intelligence, as traditional alpha sources diminish across global markets.
Global Hedge Fund Assets
Hedge fund assets under management reached a record $4.9 trillion by Q3 2024, representing 7.7% growth from the start of the year. This unprecedented scale creates massive opportunities for AI-driven alpha discovery.
AI Adoption in Hedge Funds
86% of hedge funds now actively use AI in their investment processes as of 2025, with 47% having cryptocurrency exposure and multi-strategy funds leading adoption. The AI transformation is accelerating faster than ever.
Quantitative Investment Strategies Market
The Quantitative Investment Strategies (QIS) market has grown to over $700 billion in AUM, with systematic long/short trading strategies experiencing massive institutional adoption across multi-asset universes.
Connect with our research team to learn about our ML strategy discovery platform.
Platform demo and business model overview
Technical review, financials, and market validation
Negotiate terms and complete funding round
Not Registered: Kiza Capital LLC is not currently a registered investment adviser. No investment services or securities are offered.
Research Purposes Only: All information is for research and educational purposes only. Nothing should be used for investment decisions.
No Investment Advice: Nothing constitutes investment advice or recommendations. All content is informational only.
Hypothetical Performance: Any performance metrics are hypothetical and do not represent actual results.