DominateBigBear.ai
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TimesFM-3Google
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Related Products
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About
Gain decision advantage and maintain a competitive edge over adversaries with an advanced, automated capability to make sense of multiple streams of data to derive meaningful insights. Our time series forecasting engine, Dominate, analyzes economic indicators, global indices, media data, and more to enable supply chain planning and forecast probable future outcomes. Our cutting-edge approach to data preparation has been proven in some of the world’s most complex environments. Utilizes AI/ML to leverage the relationships between more complete data elements to influence your outcomes. Multi-step, multi-factor, multi-target, autoregressive models can flexibly forecast multiple values accurately and update them on-demand. Dominate provides certainty in shaping conditions to reveal unexpected insights and develop innovative courses of action. Tensor completion addresses error-prone and gap-riddled data and provides time-series forecasting, alerting, and impact analysis.
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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
Enterprises searching for a solution to get insights from multiple streams of data
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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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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 InformationBigBear.ai
United States
bigbear.ai/solutions/supply-chain-management/dominate/
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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
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Integrations
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