Divisions

Kalimi Capital manages capital allocation across asset classes with emphasis on risk-adjusted returns and regime awareness. Our approach is systematic: we define allocation rules, we backtest them, we implement them with discipline.

We do not chase performance. We build portfolios that are resilient across different market environments. Our focus is on controlled exposure, diversification that matters, and drawdown management. Capital preservation is the primary objective; return optimization follows within that constraint.

Kalimi Quant Labs develops quantitative frameworks for signal extraction and portfolio construction. Our research is rigorous: we test hypotheses, we document methodologies, we validate before deployment.

We focus on factors and signals that have demonstrated persistence across regimes. We avoid overfitting. Our models are designed to be interpretable and adaptable. The output of our research informs allocation decisions across the group.

Kalimi AI builds machine learning systems for market applications. Our focus is on robustness and interpretability. We do not deploy black-box models. We engineer systems that we understand and can explain.

We apply AI where it adds measurable value: pattern recognition, regime detection, risk modeling. We are cautious about extrapolation and overconfidence. Our systems are designed to fail gracefully and to provide clear signals when uncertainty is high.