To democratize quantitative trading by giving individual investors and small firms access to the tools, education, and AI infrastructure.

To become the go-to platform for aspiring and professional quant traders globally.

1) Quantitative trading, the use of data, algorithms, and statistical models to make investment decisions, has always been the exclusive domain of large institutions with deep pockets and specialized teams.

2) Tarek Ayna spent years in big tech before getting into algorithmic trading, built his own backtesting engine, and realized that the tools he needed simply did not exist at an accessible price point for individuals.

3) The arrival of AI created the missing link between years of manual research and a platform that could bring quant trading within reach of anyone serious enough to learn it.

1) AlphaLab is live with data agreements in place with two major US providers, covering more than 20,000 financial instruments across stocks, futures, options, and forex.

2) The company is in soft launch, with a formal go-to-market push planned for the coming months and customer acquisition as the primary focus.

3) A talent pipeline built through Lebanese universities, gives the engineering team a structural cost advantage that directly shapes the company’s ability to compete globally.