Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • SKU Science Reviews & Ratings
    16 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Martus Reviews & Ratings
    187 Ratings
    Company Website
  • Bridgit Reviews & Ratings
    80 Ratings
    Company Website
  • Kantata Reviews & Ratings
    2,341 Ratings
    Company Website
  • Runn Reviews & Ratings
    37 Ratings
    Company Website
  • Banker's Dashboard Reviews & Ratings
    6 Ratings
    Company Website
  • Premier Construction Software Reviews & Ratings
    408 Ratings
    Company Website
  • EazyStock Reviews & Ratings
    65 Ratings
    Company Website

What is Timestral?

Timestral is a comprehensive suite of time-series foundation models accompanied by a Python inference toolkit, specifically designed to enable the creation of multivariate probabilistic forecasts derived from historical data sequences. It offers four distinct model sizes, including 5M, 28M, 123M, and 209M parameters, each capable of managing past-only, known-future, and categorical covariates, while providing quantile forecasts that can accommodate context windows of up to 32,768 time steps. Users can conveniently load pretrained weights from the Hugging Face Hub or from their local files, allowing for inference on both CPU and GPU setups. These forecasts can be integrated effortlessly into a wide array of applications, such as monitoring systems, capacity planning, energy management, supply chain logistics, financial risk analysis, and maintenance operations. Additionally, Timestral boasts zero-shot forecasting capabilities and can be customized to specific domain data using the Mistral Forge, further enhancing its versatility. This toolkit primarily targets data scientists, machine learning engineers, and collaborative teams eager to devise effective forecasting solutions; its repository code is available under the Apache 2.0 license, while the model weights are managed by a distinct Modified MIT license. With its robust and comprehensive features, Timestral is set to considerably improve the precision and effectiveness of predictive analytics across various sectors, ensuring that users can make informed decisions based on reliable forecasts. As industries increasingly rely on data-driven insights, Timestral stands out as an essential resource for achieving superior forecasting outcomes.

What is Dominate?

Gain a competitive edge and maintain a leading position against rivals by utilizing an innovative automated system that interprets various data sources for actionable insights. Our time series forecasting tool, Dominate, rigorously analyzes economic indicators, global market trends, media dynamics, and other relevant data to enhance supply chain management and predict possible future scenarios. This cutting-edge approach to data analysis has proven effective in some of the most complex environments around the globe. By leveraging artificial intelligence and machine learning, we tap into the connections between extensive data components to significantly influence your outcomes. Our sophisticated multi-step, multi-factor, multi-target autoregressive models can deliver precise predictions for a range of values and adapt them as required. Dominate instills confidence in navigating circumstances to reveal unexpected insights and formulate revolutionary strategies. Additionally, our tensor completion technique proficiently addresses issues with flawed and incomplete data while offering time-series forecasting, alert notifications, and impact evaluations. Ultimately, this powerful capability equips organizations to effectively traverse uncertainty and make empowered, well-informed choices. In today’s fast-paced market, embracing such advanced solutions is essential for sustained success and growth.

Media

No images available

Media

Integrations Supported

Mistral Forge

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

github.com/mistralai/timestral

Company Facts

Organization Name

BigBear.ai

Company Location

United States

Company Website

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

Categories and Features

AI Models

Not specified

Categories and Features

Decision Intelligence

Not specified

Decision Support

Not specified

Popular Alternatives

TimesFM-3 Reviews & Ratings

TimesFM-3

Google

Popular Alternatives

Solar Mini Reviews & Ratings

Solar Mini

Upstage AI