The startup is in the process of designing its own model trained on years of weather observation data, but Daniel Rothenberg, co-founder and head of data and weather, was quick to note that they’re “standing on the shoulders of giants.”
“The big physics-based models are monsters,” he said. “But AI is the beneficiary of those models — the first leap was taking advantage of them, finding that the models really can learn those patterns. We’re building on top of that and extending it. We’re shooting for state of the art: as good or better than the available global weather forecasting.”