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About

AfterQuery is an applied research platform designed to create high-quality training data for frontier artificial intelligence models by capturing how real experts think, reason, and solve problems in professional contexts. It focuses on transforming real-world work into structured datasets that go beyond simple outputs, encoding decision-making processes, tradeoffs, and contextual reasoning that traditional internet-sourced data cannot provide. It works directly with domain experts to generate supervised fine-tuning data, including prompt–response pairs and detailed reasoning traces, as well as reinforcement learning datasets with expert-designed prompts and grading frameworks that convert subjective judgment into scalable reward signals. It also builds custom agent environments across APIs and tools, enabling models to be trained and evaluated in realistic workflows, and captures computer-use trajectories that demonstrate how humans interact with software step by step.

About

Microsoft Frontier Tuning lets organizations customize one or more of Microsoft’s top MAI models around their unique business needs, trained safely within their own secure environment instead of relying on a generic AI model. The process starts by defining the task and what success looks like, then feeding in data, workflows, and expertise from Microsoft 365 and beyond. Performance is improved through training and iterative optimization, then deployed in Microsoft Foundry or Copilot, where the model can continue improving from real usage. Microsoft Frontier Tuning is designed to create models that know the organization’s work, terms, context, processes, and expertise while keeping data private and secure inside the customer’s environment. It gives teams more control over the model, avoids vendor lock-in, and helps them squeeze more value from every dollar spent by delivering frontier performance with superior token efficiency.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers, developers, and enterprises building advanced models who need high-quality, expert-driven training data to improve reasoning and real-world task performance

Audience

Enterprises that need secure, business-specific AI model customization using their own workflows, data, and Microsoft 365 context for deployment in Foundry or Copilot

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AfterQuery
Founded: 2025
United States
www.afterquery.com

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/models/microsoft-frontier-tuning/

Alternatives

Alternatives

Phi-4-reasoning

Phi-4-reasoning

Microsoft
Gramosynth

Gramosynth

Rightsify
Phi-4

Phi-4

Microsoft
Twine AI

Twine AI

Twine.net
Tune Studio

Tune Studio

NimbleBox

Categories

Categories

Integrations

Microsoft Azure
Microsoft Copilot
Microsoft Foundry
Model Context Protocol (MCP)

Integrations

Microsoft Azure
Microsoft Copilot
Microsoft Foundry
Model Context Protocol (MCP)
Claim AfterQuery and update features and information
Claim AfterQuery and update features and information
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Claim Microsoft Frontier Tuning and update features and information