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The Trusted Sovereign AI Platform

Mountain View, CA
Joined February 2012
1/5 🏆 TimeH2O ranks #1 on EnergyBench, a live benchmark for day-ahead energy forecasting! TimeH2O currently leads the Elo leaderboard, ahead of competing models including TimesFM, Chronos, and Timestral. 🔗 energybench.foretec.co/
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4/5 Accurate forecasting powers real-world decisions, from energy trading and grid operations to demand planning and resource optimization. Better predictions help protect revenue and support more reliable energy systems. That's the power of #PredictiveAI.
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5/5 🚀 Explore how TimeH2O is advancing time-series forecasting: 📊 Live leaderboard: energybench.foretec.co/ 💡 Read the blog: h2o.ai/blog/2026/timeh2o-fou… 🤗 Try it on Hugging Face: huggingface.co/collections/h… #TimeSeries #Forecasting #EnergyBench
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Your forecasting model shouldn’t take longer to train than it takes to become a skeleton. 💀🎃 TimeH2O-v1 forecasts zero-shot, with no training needed. It ranks #1 of 32 models on the fev-bench leaderboard, with a 91.9% win rate across 100 forecasting tasks. 🤗 Try TimeH2O-v1 on Hugging Face: huggingface.co/h2oai/timeh2o… Read the Press Release: h2o.ai/company/press-media/2… #TimeSeries #Forecasting #TimeH2O #Halloween
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TimeH2O Outperforms Mistral, Google, and Amazon in Time-Series Forecasting! We're proud to introduce TimeH2O-v1, the #1 open-weight time-series foundation model, ranking first among 32 models on the fev-bench leaderboard across 100 forecasting tasks. #TimeSeries #Forecasting #Fevbench
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This milestone signals something bigger: purpose-built predictive models will provide the trusted forecasts that AI agents rely on to make decisions and take action. 🏆 #1 in win rate: 91.9%, ahead of Timestral-209M, t0-gamma, TimesFM-3, and Chronos-2. 📊 50.8 skill score: Delivering 50.8% lower forecast error than the seasonal-naive baseline. ⚡ Zero-shot forecasting: Predicting future outcomes without training or fine-tuning on the benchmark datasets.
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"Building your business with accurate forecasting and prediction is the superpower of AI. TimeH2O gives organizations a generalized, pre-trained model for time series that can then be fine-tuned into a domain-specific foundation model for each customer's use case." — @srisatish, Founder and CEO of H2O.ai 🔗 Explore the benchmarks: h2o.ai/benchmarks Read the PR: h2o.ai/company/press-media/2…
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What an exciting moment for the 2026 H2O AI 100! 🎉 Last week, we kicked off our celebration at the iconic @Nasdaq Tower in Times Square, recognizing this year's AI 100 honorees and the incredible work they're doing to advance AI around the world. Check the full list here: h2o.ai/ai-100/winners/2026 #H2OAI100 #SovereignAI #AILeaders
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A 4-billion-parameter open-weight model just beat Microsoft-Decision-1 and OpenAI's Decisions API on JevBench. Faster and more capable than both. That model? H2O-Lightning-4B under Apache 2.0 ⚡ It's also faster than Jev and nearly as capable while also supporting images. #OpenSource #EnterpriseAI #Jevbenchmark
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🔐 H2O.ai has completed an IRAP® assessment for H2O AI Cloud against the Australian Government Information Security Manual’s PROTECTED level controls.
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The assessment covers the March 2026 ISM, which introduced explicit controls for AI governance and data protection, and positions H2O.ai to support government agencies operating across highly sensitive environments.
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Today we're launching H2O-3 Secure: a production-grade, commercially supported tier of one of the world's most widely deployed open-source ML platforms.
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What H2O-3 Secure adds: production MOJO, added security, audit-supporting capabilities, and prioritized CVE patching. Read the blog to learn more about H2O-3 Secure: h2o.ai/blog/2026/changes-com…
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