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Average Ratings 0 Ratings
Description
GradeOwl is an innovative AI assessment tool designed for Indian educational institutions, streamlining the grading process for subjective, handwritten exam responses significantly faster than traditional methods. By simply uploading a photograph of an answer key, educators can benefit from an automatically generated, detailed marking scheme based on a rubric, eliminating the need for manual rubric creation. After scanning student answer sheets, GradeOwl efficiently interprets handwriting in both English and Hindi, aligns the responses with the established rubric, and delivers reliable, evidence-based scores, all subject to thorough teacher review prior to finalization. Additionally, the Smart Student ID feature extracts names and roll numbers from the cover pages, greatly reducing the need for manual data entry, especially in larger classes. Tailored specifically for the evaluation frameworks of CBSE, ICSE, and State Boards, GradeOwl also groups similar responses, enabling teachers to review and adjust scores more efficiently rather than going through each paper individually. Ultimately, this leads to quicker feedback on subjective assessments, greater consistency in grading across different sections, and enhanced clarity regarding student difficulties, empowering educators to better address areas of struggle. Furthermore, the utilization of GradeOwl not only saves time but also enhances the overall educational experience for both teachers and 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
$5/user/month
Free Trial
No
Free Version
Yes
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
Yes
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)
No
Online Support
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NeuraConcept
Founded
2026
Country
India
Website
neuraconcept.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
commandline.microsoft.com/microsoft-decision-1-model-foundry/