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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 EtherApps Forge?

EtherApps Forge captures Windows applications on the machines they already run on, even when the installer is lost, and turns them into signed MSIX, MSI, Intune Win32 and App Attach packages. Package the apps holding up your move to Windows 365, Azure Virtual Desktop and Intune, including the ones nobody can reinstall. AI does the busywork. The Forge MCP server lets GitHub Copilot and other AI clients drive Forge in plain English, one real tool call at a time, and nothing ships until your team approves it. Forge AI Controller, in private preview, runs the packaging lifecycle as an agent in your own infrastructure, not shared SaaS. It can use local AI models, so prompts, packages and what it learns stay in your environment, or Microsoft Foundry in your own subscription, or OpenAI services. Forge Capture is a portable single file: copy it and run it, with nothing to install. It captures from Windows XP SP3 to Windows 11 and Windows Server 2008 R2 to 2025, including RDS session hosts. Convert App-V 5 packages to MSIX or MSI without resequencing, with no App-V client or sequencer. Sign, validate and smoke test each package, and edit a built MSIX without rebuilding it. Batch capture, the forge_msix command line and a PowerShell module fit your build pipeline. Forge runs on your own machines, so packages and signing keys stay with you. Packages go to Microsoft Intune (which also reaches Windows 365 Cloud PCs), Configuration Manager, Azure Virtual Desktop through App Attach, Citrix and Omnissa App Volumes. Start a 7-day free trial at etherapps.ai: 25 captures, no card. The full licence is £895 per named packaging admin per year, plus VAT. Also on Microsoft Marketplace.

Media

No images available

Media

Integrations Supported

Mistral Forge

Integrations Supported

GitHub Copilot
Model Context Protocol (MCP)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

£895/packaging admin/year
£895 per named packaging admin per year, plus VAT. 7-day free trial direct from EfficientEther: 25 captures, no card. Also on Microsoft Marketplace, billed on your Microsoft invoice.
Free Trial Offered?

Supported Platforms

On-Prem

Supported Platforms

Windows
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

github.com/mistralai/timestral

Company Facts

Organization Name

EfficientEther

Company Location

United Kingdom

Company Website

etherapps.ai

Categories and Features

AI Models

Not specified

Categories and Features

Software Deployment

Not specified

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