TimestralMistral AI
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About
Uncover under-performing campaigns so you can quickly shift ad spend based on your simulation results and maintain your overall budget. We use a probabilistic and windowless measurement that leverages time-series data from your ecommerce platform and marketing channels to get to the heart of what moved the needle. Using your brand’s historical data, forecast the revenue and ROAS of your campaigns at any adjusted spend amount before you change anything. Connect all of your channels in just 10 minutes with our easy, one-time onboarding. You’ll get actionable insights 48 hours later. Marketers can quantify and benchmark the impact of cross-channel awareness on organic search, direct traffic, and other campaigns via.
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About
Timestral is a family of time-series foundation models and a Python inference package for generating multivariate probabilistic forecasts from historical sequences. The four model sizes (5M, 28M, 123M and 209M parameters) support past-only, known-future and categorical covariates, return quantile forecasts, and accept context windows up to 32,768 time steps. Developers can load pretrained weights from the Hugging Face Hub or from local files and run inference on CPU or GPU, then incorporate forecasts into monitoring, capacity-planning, energy, supply-chain, financial-risk, or maintenance workflows. Timestral supports zero-shot forecasting and can be adapted to domain data through Mistral Forge. The package is intended for data scientists, machine-learning engineers, and teams building forecasting systems; repository code is Apache 2.0, while model weights use a separate Modified MIT license.
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Platforms Supported
Windows
Not Supported
Mac
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Linux
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Cloud
Supported
On-Premises
Not Supported
iPhone
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iPad
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Android
Not Supported
Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Omni-channel brands looking for a solution for media measurement and optimization
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Audience
Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
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Reviews/
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Company InformationPrescient AI
Founded: 2019
United States
www.prescient-ai.io
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Company InformationMistral AI
Founded: 2023
France
github.com/mistralai/timestral
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Integrations
Amazon S3
Supported
Facebook
Supported
Google Ads
Supported
Google Analytics
Supported
Instagram
Supported
Klaviyo
Supported
Mistral Forge
Not Supported
Pinterest
Supported
Shopify
Supported
Snapchat
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Integrations
Amazon S3
Not Supported
Facebook
Not Supported
Google Ads
Not Supported
Google Analytics
Not Supported
Instagram
Not Supported
Klaviyo
Not Supported
Mistral Forge
Supported
Pinterest
Not Supported
Shopify
Not Supported
Snapchat
Not Supported
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