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features
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support

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Description

Achieve a strategic advantage and sustain a superior position against competitors through an innovative automated system designed to interpret diverse data sources for valuable insights. Our time series forecasting solution, Dominate, meticulously examines economic metrics, global market indices, media trends, and additional data to support effective supply chain management and anticipate potential future scenarios. This state-of-the-art method of data preparation has been validated in some of the most challenging environments worldwide. By employing AI and machine learning, we harness the interconnections between comprehensive data elements to effectively influence your results. Our advanced multi-step, multi-factor, multi-target autoregressive models can accurately predict various values and adjust them as necessary. Dominate offers assurance in shaping circumstances to uncover surprising insights and create groundbreaking strategies. Moreover, our tensor completion technique effectively manages flawed and incomplete data while providing time-series forecasting, alert notifications, and impact assessments. Ultimately, this robust capability empowers organizations to navigate uncertainty and make informed decisions with confidence.

Description

Timestral represents a suite of time-series foundation models along with a Python inference toolkit designed to create multivariate probabilistic forecasts based on historical data sequences. It comes in four different model sizes—5M, 28M, 123M, and 209M parameters—that are capable of handling past-only, known-future, and categorical covariates, providing quantile forecasts while accommodating context windows as extensive as 32,768 time steps. Users have the flexibility to load pretrained weights either from the Hugging Face Hub or directly from local files, enabling them to perform inference on both CPU and GPU. Such forecasts can be seamlessly integrated into various applications, including monitoring systems, capacity planning, energy management, supply chain logistics, financial risk assessment, or maintenance operations. Furthermore, Timestral offers zero-shot forecasting capabilities and can be tailored to specific domain data through the Mistral Forge. This package is primarily aimed at data scientists, machine learning engineers, and collaborative teams focused on developing robust forecasting solutions; the repository code is licensed under Apache 2.0, while the model weights are governed by a separate Modified MIT license. With its comprehensive features, Timestral is positioned to significantly enhance the accuracy and efficiency of predictive analytics in numerous industries.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Mistral Forge No 

Integrations

Mistral Forge Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BigBear.ai

Country

United States

Website

bigbear.ai/solutions/supply-chain-management/dominate/

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

github.com/mistralai/timestral

Product Features

Decision Support

Application Development No 
Budgeting & Forecasting No 
Data Analysis No 
Decision Tree Analysis No 
Monte Carlo Simulation No 
Performance Metrics No 
Rules-Based Workflow No 
Sensitivity Analysis No 
Thematic Mapping No 
Version Control No 

Supply Chain Management

Demand Planning No 
Electronic Data Interchange No 
Import / Export Management No 
Inventory Management No 
Order Fulfillment No 
Order Management No 
Sales & Operations Planning No 
Shipping Management No 
Supplier Management No 
Transportation Management No 
Warehouse Management No 

Product Features

Alternatives

Alternatives

No Alternatives