The #1 open-weight time-series pre-trained foundation model leads fev-bench's 100 tasks, a sign that purpose-built predictive models will ground the forecasts AI agents act on. MOUNTAIN VIEW, Calif., October 26, 2026--(BUSINESS WIRE)--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.
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