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What is Microsoft-Decision-1?

Microsoft-Decision-1 is a highly effective decision-scoring model specifically designed for structured outputs, allowing software systems to take swift actions. This innovative model supports a range of functionalities including routing, classification, prioritization, verification, and workflow management, applicable across various applications, agents, and automated systems. Developed through post-training of Qwen3.5-9B, it excels in single-pass decision scoring and delivers calibrated probabilities for a defined set of response choices. The model is adept at addressing yes/no inquiries, multiple-choice situations, rating scales, and rubric-based assessments of AI-generated outputs and agent performances via a structured API. Comprehensive evaluations carried out by Microsoft across 36 benchmarks covering routing, ranking, long-context understanding, multilingual functions, and tasks outside conventional distributions demonstrate that it achieved top accuracy levels with impressively low latency. Additionally, the model places a strong emphasis on robustness, with extensive testing conducted to ensure decision-making stability even when prompts undergo rephrasing or modifications. This commitment to stability highlights its potential for delivering reliable performance in diverse real-world scenarios, making it a versatile tool for various industries.

What is GradeOwl?

GradeOwl represents a cutting-edge AI grading tool aimed at Indian educational institutions, significantly accelerating the evaluation of subjective, handwritten exam responses compared to conventional approaches. Educators can simply upload a photo of an answer key to receive an automatic, detailed marking scheme created from a rubric, thus bypassing the laborious task of manual rubric development. Once student answer sheets are scanned, GradeOwl adeptly interprets handwriting in both English and Hindi, matches the responses to the predetermined rubric, and provides dependable, evidence-based scores, all of which are subject to comprehensive teacher review before they are finalized. Moreover, the Smart Student ID feature captures names and roll numbers from cover pages, significantly minimizing the need for manual data entry, particularly advantageous in large classrooms. Specifically designed for the evaluation standards of CBSE, ICSE, and State Boards, GradeOwl also categorizes similar answers, allowing teachers to assess and modify scores more effectively without the need to review each paper separately. Consequently, this process results in quicker feedback on subjective evaluations, improved consistency in grading across various sections, and greater insight into student challenges, enabling educators to more effectively target areas needing support. In addition to these benefits, the implementation of GradeOwl not only conserves valuable time but also enriches the overall educational experience for both instructors and learners, fostering a more productive learning environment. Ultimately, the tool stands to transform traditional grading practices, making them more efficient and effective.

Media

Media

No images available

Integrations Supported

Microsoft Foundry
OpenRouter
Qwen3.5

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$0.042 per 1M tokens

Pricing Information

$5/user/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

commandline.microsoft.com/microsoft-decision-1-model-foundry/

Company Facts

Organization Name

NeuraConcept

Date Founded

2026

Company Location

India

Company Website

neuraconcept.com

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Education

Not specified

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