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Description
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.
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
No images available
Integrations
GitHub Copilot
Yes
Mistral Forge
No
Model Context Protocol (MCP)
Yes
Integrations
GitHub Copilot
No
Mistral Forge
Yes
Model Context Protocol (MCP)
No
Pricing Details
£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
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
EfficientEther
Country
United Kingdom
Website
etherapps.ai
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
github.com/mistralai/timestral