A.I. Machines is a financial technology company specialised in the development, application and operation of artificial intelligence and machine learning solutions for investment management.
From our London base, we partner with asset and wealth managers globally to enhance existing strategies or develop differentiated products with better outcomes.
A.I. Machines has developed a fully integrated, multi-purpose predictive and risk management software engine ("PIE Predictive Investment Engine" or "PIE") based on, and driven by, AI and ML.
PIE recreates the entire investment process required to manage any type of discretionary or quantitative portfolio: from data processing, to asset price forecasting, to portfolio risk management.
PIE is highly versatile and scalable, as it can operate on any combination of liquid instruments over any allocation timeframe based on a simple set of standardized portfolio specifications.
The fundamental premise underpinning PIE is that AI technologies, when appropriately developed, applied and integrated into a robust software engine, can improve investment (risk/return) outcomes, relative to conventional portfolio and risk management methods.
PIE has demonstrated its effectiveness over multiple years of live trading and is currently powering 14 distinct live strategies since its commercial launch in March 2017, including the world’s first balanced UCITS fund operated solely by artificial intelligence.
A.I. Machines' team of researchers and technologists contributes decades of experience and R&D in science and asset management, with deep expertise in computer science, operations research, machine learning, natural science, statistics and finance.
From our London base, we partner with asset and wealth managers globally to enhance existing strategies or develop differentiated products with better outcomes.
A.I. Machines has developed a fully integrated, multi-purpose predictive and risk management software engine ("PIE Predictive Investment Engine" or "PIE") based on, and driven by, AI and ML.
PIE recreates the entire investment process required to manage any type of discretionary or quantitative portfolio: from data processing, to asset price forecasting, to portfolio risk management.
PIE is highly versatile and scalable, as it can operate on any combination of liquid instruments over any allocation timeframe based on a simple set of standardized portfolio specifications.
The fundamental premise underpinning PIE is that AI technologies, when appropriately developed, applied and integrated into a robust software engine, can improve investment (risk/return) outcomes, relative to conventional portfolio and risk management methods.
PIE has demonstrated its effectiveness over multiple years of live trading and is currently powering 14 distinct live strategies since its commercial launch in March 2017, including the world’s first balanced UCITS fund operated solely by artificial intelligence.
A.I. Machines' team of researchers and technologists contributes decades of experience and R&D in science and asset management, with deep expertise in computer science, operations research, machine learning, natural science, statistics and finance.
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Alessandro Di Soccio introduces
A.I. Machines at NextGen Alpha conference in Frankfurt |
Marco Fasoli highlights the differences between conventional quant models and AI models at Bloomberg event in London
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