Allocation Strategy Raises £1.6M To Enhance Asset Allocation Technology

Recent periods of market volatility have highlighted shortcomings in many institutional asset allocation tools, particularly their inability to clearly connect portfolio decisions with underlying macroeconomic drivers.

At the same time, asset allocation has become more complex as asset classes converge, private and alternative markets expand, geopolitical dynamics shift, and advances in AI transform investment decision-making.

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Allocation Strategy was built to tackle these challenges by offering a more robust and transparent analytics framework for portfolio construction and risk assessment.

The platform supports core asset allocation workflows, including capital market assumptions, portfolio optimisation, macro risk analysis, scenario modelling, and model portfolios, enabling institutional investors to better evaluate risk-return trade-offs.

Pavol Povala, CEO of Allocation Strategy, said the platform is intended to give investment teams a stronger analytical foundation for asset allocation decisions, supporting processes from expected return assumptions through to scenario analysis and portfolio construction.

The company was founded by Pavol Povala, Drew Barnden, and Michael Chin, who bring deep experience in building and operating asset allocation analytics at scale. The new funding will be used to scale the business, expand research and development, and accelerate the launch of new solutions for institutional investors.

About Allocation Strategy

Allocation Strategy develops advanced asset allocation technology grounded in decades of research and real-world deployment. The platform helps institutional investors improve portfolio decisions with insights into expected returns, risk modelling, portfolio construction, and scenario analysis, enabling more resilient and high-performing portfolios amid evolving market conditions.