AI Model Strategies
Technology is key to everything we do. Be it developing optimised indices, building AI-powered model strategies and creating predictive asset performance rankings.
Decoding AI Model Strategies
Think of a model strategy as our financial compass, directing investment allocations precisely. Now, infuse it with AI, and what you get is an automated investment plan —astutely leveraging computational insights and vast data for sharper, data-driven decisions.
Robust Process
Our AI-enhanced model strategies aren't just a product of innovation. They result from a rigorous process refined over seven years. We begin by intimately understanding our client's investment goals, be it the universe, horizon, benchmark, or risk constraints. But that's just the start.
Unleashing the power of AI
Data-Driven Excellence
Data is at the centre of every AI engine, and data preparation is one of the most critical phases in which our team meticulously validates data, identifies inconsistencies, and engineers features. The end goal?
Training machine learning models to rank financial asset predictive performance based on expected returns.
If you want to dive deeply into how we build, train and deploy our models, please check our TECHNOLOGY page. 
Signals to Strategies
Post-deployment, our AutoML engine translates complex AI signals into actionable insights. But we don't stop there.
We harness these insights, creating strategies with our algorithms - strategies that identify potential market champions and underperformers, all tailored to our client's specific investment needs.
LEARN MORE ABOUT OUR AI-DRIVEN SOLUTIONS
AI-READY FACTORS
Every prediction is explained in terms of which drivers and data had the most impact on it; AI models are not black boxes anymore
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AI-BASED RANKINGS
AI-based assets performance rankings that identify outperformers within a given investment universe & time horizon
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