TimestralMistral AI
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Related Products
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About
Powered by open-source state-of-the-art AutoML to train quality models without hassle. Leverages Deep Learning and pre-trained models for extra intelligence whenever applicable. Utilizes Causal AI with AutoML for fairness, causal inference and counterfactual predictions. All trained models are deployed instantly to be used interactively online or with an API. Full feature importances and model explanations with Shapley values. Our AI engine is entirely open-source. It means our algorithms can be fully audited and used everywhere. Clusters customers or products to similar cohorts with a rich set of features. Forecasts future by capturing temporal patterns from historical data. Trains predictive models with labelled data to predict unlabelled data.
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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
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
Anyone looking for an advanced low-code AI platform
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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
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$80 per user per month
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationActable AI
Founded: 2020
United Kingdom
www.actable.ai/
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Company InformationMistral AI
Founded: 2023
France
github.com/mistralai/timestral
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Categories |
Categories |
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Data Analysis Features
Data Discovery
Supported
Data Visualization
Supported
High Volume Processing
Not Supported
Predictive Analytics
Supported
Regression Analysis
Not Supported
Sentiment Analysis
Not Supported
Statistical Modeling
Not Supported
Text Analytics
Not Supported
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Integrations
Google Sheets
Supported
Microsoft Excel
Supported
Mistral Forge
Not Supported
SQL
Supported
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Integrations
Google Sheets
Not Supported
Microsoft Excel
Not Supported
Mistral Forge
Supported
SQL
Not Supported
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