H2O.ai's TimeH2O Beats Mistral, Google, and Amazon in Time-Series Forecasting

MOUNTAIN VIEW, Calif., Oct 27 (Bernama) -- H2O.ai, the trusted Sovereign AI Platform with the software and expertise to run predictive, generative, and agentic AI in production, today released TimeH2O-v1, a time-series foundation model that ranks first of 32 models on the fev-bench leaderboard by win rate. TimeH2O-v1 posted a 91.9% win rate and a skill score of 50.8 across the benchmark's 100 forecasting tasks, ahead of Timestral-209M, t0-gamma, TimesFM-3, and Chronos-2.

Forecasts run the business: demand, inventory, cash, energy load, patient volume. Most organizations still build and maintain a separate model for each of those series, and retrain it when the data shifts. A forecasting foundation model works zero-shot: it reads a series' history and forecasts it with no training on that data. TimeH2O-v1 was never trained on any fev-bench dataset, and it still ranks first.