Building global portfolios with artificial intelligence
Quantivale applies machine learning and rigorous quantitative methods to global asset allocation, helping construct diversified, risk-aware portfolios across markets and asset classes.
What we do
Quantivale is a quantitative investment research company focused on one question: how can AI help build better portfolios across the world's markets?
Global asset allocation
We look across equities, fixed income, commodities, currencies and other asset classes, in developed and emerging markets, to find where capital is best deployed.
AI-driven portfolio construction
Machine learning models help us estimate risk, identify relationships between assets and build portfolios that are diversified by design.
Systematic and transparent
Decisions follow a defined, testable process rather than guesswork. Every model is evaluated, monitored and refined over time.
Our approach
A disciplined research process, from raw data to portfolio.
Data
Global market, macroeconomic and alternative data, cleaned and structured for research.
Models
AI and statistical models that estimate returns, volatility and cross-asset relationships.
Construction
Optimisation under explicit risk, diversification and cost constraints.
Monitoring
Continuous out-of-sample testing and risk review to keep models honest as markets change.
Principles
What guides how we build.
Risk first
Understanding what can go wrong comes before chasing what could go right.
Diversification
Global breadth across regions and asset classes is the foundation of a resilient portfolio.
Evidence over narrative
We trust data and rigorous testing, and stay sceptical of stories that sound too good.
Get in touch
Questions about Quantivale? We'd be glad to hear from you.