Alpine Quant Systems builds data applications across sectors and keeps the ones that prove useful. Some run inside partner organisations, some we run ourselves, and the strongest can grow into companies of their own.
Careful data work tends to go where capital and data teams already are. We want to put it behind problems that matter for society and the future, and measure ourselves by whether an application is used and whether it holds up.
Financial markets, the economy, society, governance, climate and energy. Markets give our methods the fastest feedback, and what we learn there carries into every other field.
See the applicationsFor organisations, municipalities and smaller companies with a problem worth solving and no data team of their own.
Together we look at the problem, who it affects and what a good outcome would be worth, before anyone writes code.
Research and a concept, a tested prototype or a working application. We agree which one fits and what it should prove.
A small, time-limited pilot with a clear task, tested with the people who will use the result.
If the pilot holds up, the application moves to the partner, keeps running with us or becomes a company of its own.
A result only counts on data the model never saw. We seal a test window before fitting anything, and we use it once.
Every application has clear limits on what it decides on its own, set before it goes live. When behaviour changes, it does less until we know why.
Most ideas fail at the second gate. We publish what failed as well as what worked, because both show what the data can and cannot do.
Alpine Quant Systems is based in Zürich, Switzerland.
47.38° N, 8.54° ESplitting model loading from scoring to fit a 6 GB memory budget.
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