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Average Ratings 0 Ratings
Description
IntelGrader is an innovative platform that utilizes artificial intelligence to assess handwritten responses, designed specifically for educators, educational institutions, tutoring centers, and publishing companies.
After students complete their answers on paper and submit photographs of their work, they receive a comprehensive evaluation based on a structured rubric, along with constructive feedback. Rather than merely providing grades, IntelGrader highlights conceptual misunderstandings, incremental errors, improper use of formulas, and procedural faults, facilitating genuine learning and improvement for students.
For educators, the platform allows for the uploading of exam papers and grading criteria, enabling them to benefit from AI-enhanced grading that significantly reduces the time spent on manual evaluations. It produces insightful analytics that cover topics, class performance metrics, recurring error trends, and individual student progress, effectively transforming grading into a source of valuable information.
Particularly advantageous for subjects requiring subjective analysis, such as Mathematics and Science, where the evaluation of processes is just as critical as the final answers, IntelGrader ensures that both students and teachers gain meaningful insights to enhance the educational experience. Additionally, by providing a streamlined grading process, it allows teachers more time to focus on personalized instruction and support for their students.
Description
Microsoft-Decision-1 is an efficient decision-scoring model tailored for structured outputs, enabling immediate action by software systems. This model is crafted to facilitate various functions such as routing, classification, prioritization, verification, and workflow management across different applications, agents, and automated systems. Built upon post-training from Qwen3.5-9B, it specializes in single-pass decision scoring and provides calibrated probabilities for a fixed set of response options. It is equipped to handle yes/no questions, multiple-choice scenarios, ratings, and rubric-based evaluations of both AI-generated responses and agent activities through a structured API. Extensive evaluations conducted by Microsoft, spanning 36 benchmarks in areas like routing, ranking, long context comprehension, multilingual capabilities, and tasks beyond typical distributions, indicate that it achieved the highest accuracy alongside remarkably low latency. Furthermore, the model emphasizes robustness, with rigorous testing aimed at ensuring decision stability even when prompts are rephrased or altered. This focus on stability underscores its potential for consistent performance in real-world applications.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Microsoft Foundry
No
OpenRouter
No
Qwen3.5
No
Pricing Details
$0
Free Trial
Yes
Free Version
No
Pricing Details
$0.042 per 1M tokens
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IntelGrader
Founded
2025
Country
India
Website
intelgrader.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
commandline.microsoft.com/microsoft-decision-1-model-foundry/