Ortec Finance has announced the launch of GLASS PRISM, a Strategic Asset Allocation (SAA) optimisation platform that applies Scenario-Based Machine Learning (SBML) to help institutional investors build more robust and adaptive long-term portfolios.
GLASS PRISM replaces conventional static models with a forward-looking, multi-scenario approach, allowing investors to account for non-linear relationships, multiple periods, and complex objectives without relying on approximations.
The platform generates SAAs that satisfy investor objectives directly, integrates into existing processes, and delivers faster, decision-ready results. It is designed for insurers, pension funds, asset managers, and other long-term investors looking to modernise portfolio construction.
Linda Hooft, Managing Director Insurance Strategy at Ortec Finance, said, “Strategic asset allocation is the most important investment decision institutions make, yet many tools still lack a targeted approach to optimising SAA’s. GLASS PRISM fundamentally changes that. By combining the accuracy of brute-force methods with the efficiency of advanced optimisation techniques, our clients can optimise asset portfolios based on any objective or constraint required.”
By embedding SBML within a dedicated SAA optimisation framework, GLASS PRISM reduces technical complexity, enabling scalable and actionable portfolio insights that support forward-looking investment decisions.
Ortec Finance said the tool reinforces its leadership in risk and return management, helping investors navigate market volatility, macro uncertainty, and evolving investment objectives.
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