We build specialized AI for forecasting and decision-making under uncertainty.
Important decisions are often made with incomplete evidence, changing conditions, and no clear answer in advance.
The problem is not just prediction. It is how to incorporate scattered information into a coherent view before the picture is obvious.
We are building systems that turn mixed information into calibrated forecasts, clear updates, and decision-ready views.
Better judgment under uncertainty is a real infrastructure problem.
We are building a forecasting engine, not a general-purpose chatbot. It is designed to combine structured data, text, and live information into calibrated probability forecasts.
The work spans model development, evaluation, and inference infrastructure. We care about calibration, update quality, and making probabilistic judgment measurable.
We validate in benchmarks, tournaments, and live decision environments where outcomes resolve over time.
Phinomial Labs is building infrastructure for probabilistic reasoning. Our systems synthesize evidence, generate calibrated forecasts, and support decisions under uncertainty.
We are currently building the core engine.
Open to conversations with researchers, institutions, and potential collaborators.