Funding
Funding not disclosed
Founders
Product
Problem
Educators and exam‑preparation providers must manually grade handwritten responses, a process that is time‑consuming, prone to inconsistency, and difficult to scale for large student cohorts.
Solution
Widushi offers an AI‑native platform that automatically evaluates handwritten answers, delivering rapid and consistent scoring for exam preparation. The system leverages advanced machine‑learning models to recognize handwriting, interpret answer content, and assign grades with high accuracy. Results are generated instantly, allowing students to receive immediate feedback while freeing educators from repetitive manual review. The platform can be integrated into existing learning management systems or used as a standalone grading tool, supporting high‑volume assessment workflows without sacrificing quality.
Target Audience
Primary customers are K‑12 and higher‑education instructors, tutoring centers, and exam‑preparation companies that need to grade large volumes of handwritten student responses efficiently.
Features
- Deep learning‑based handwriting recognition optimized for exam answer formats
- Automated content analysis and scoring algorithms that align with predefined rubrics
- Real‑time feedback delivery to students through a web dashboard or API
- Scalable processing infrastructure capable of handling thousands of submissions concurrently
- Detailed analytics and reporting on class performance and common error patterns
- Secure data handling with encryption in transit and at rest
- Easy integration via RESTful API and plug‑in for popular LMS platforms