TimesFM-3Google
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Related Products
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About
We empower executives to make fast and impactful decisions with data-driven recommendations. Unique time series features and automatic model selection are our secret sauce to increase forecasting accuracy. Optimize scenarios in minutes, not days, and debate implications and trade-offs to provide recommendations. External data integration such as commodity prices, social media, external events, etc. A suite of cloud-based applications tailored for the supply chain and finance business functions. State-of-the-art demand and consensus planning solution that delivers stellar forecasting accuracy combined with customer-first workflow. A reliable and fast cash management solution helping you to accurately forecast and gain valuable cash-saving insights. Machine Learning powered optimization application for production, multi-echelon inventory and replenishment, helping you to successfully manage the flow of goods and services.
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About
TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses wanting to transform their workflow through AI-powered forecasting and optimization solutions
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Audience
Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationStemly
Singapore
www.stemly.ai/
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Company InformationGoogle
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/
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Integrations
No info available.
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Integrations
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