
Our Company
Our company
Conviction in Fundamentals. Powered by Technology.
RAM Active Investments (RAM AI) is a Geneva-based institutional asset manager founded in 2007 with the conviction that harnessing data, technology and human experience is pivotal to delivering sustainable returns and fulfilling investors' needs for innovative and active solutions.
With research at the forefront of its disciplined investment approach, RAM AI harnesses scientific data analysis and risk-led portfolio construction techniques to identify and exploit new market inefficiencies. The firm manages Systematic Equity, Alternative and Credit strategies.
In March 2018, RAM AI became an affiliate of Mediobanca but remains operationally independent.
2007
Foundation
15+ years
Track record
30+
Employees
10Mn+
Data points per day
41
Stock exchanges traded
USD + 10bn
notional traded
Our Philosophy
Research-driven & Rooted in Fundamentals.
In a collaborative environment, we capitalise on our research platform to extract valuable information from data, which we have been continuously enhancing since inception. Developing our Deep Learning infrastructure was key to our evolution over the last 10 years.
We believe Fundamentals will always be a key driver of pricing and managing our risk. Company and country fundamental dynamics are key drivers alongside price, flow and technical dynamics across our investment strategies.
Our research has evidenced that market-cap based benchmarks can be sub-optimal allocations of capital over the long run, and we seek to provide stronger alternatives to our investors in a directional and non-directional format.
Our Technology platform
Alpha Stock Selection in Inefficient Markets.
RAM AI's systematic team has been an early adopter of AI to improve the capture of fundamental inefficiencies. The Research team’s Machine Learning expertise has enabled the development of a robust in-house technology platform that uncovers the predictive power of exponentially growing information flows and powers our investment process. Data sources sit at the core of this framework and our Deep Learning infrastructure integrates more than 500 alpha inputs to predict single stock return trends.












