Built by innovators to streamline handwritten paper checking for modern academic institutions.
EvalAI bridges the gap between traditional handwriting and advanced machine learning.
To save teachers and educators up to 80% of their manual checking time by automating handwritten answer sheet scanning, parsing, scoring, and exporting, while maintaining absolute grading transparency and academic control.
EvalAI integrates advanced OCR spatial scanning with powerful LLM systems like Google Gemini to extract complex handwriting, evaluate it semantically against model answer keys, and produce detailed scorecards.
While we currently harness Gemini for evaluation processing, we are developing proprietary, domain-specific EvalAI AI models trained explicitly on educational rubrics and academic handwritten datasets.
Co-Founder & Chief Architect
Leading the core AI/ML infrastructure, handwriting extraction systems, and system scaling modules at EvalAI to bring reliable assessments to teachers.
Co-Founder & Product Lead
Overseeing product engineering, designer systems, UX workflows, API strategies, and university onboarding partnerships across academic departments.
Tailored solutions for every level of educational infrastructure.
Easily upload exam sheets, grade classes in minutes, calculate partial credit, and bypass hours of desk check calculations.
Implement structured grading systems across classes, digitize exam answer sheets, and back up final scores securely in the cloud.
Handle university-wide bulk processing, integrate LDAP/SSO accounts, customize rubrics, and export complete XLSX marksheet reports.
Grade massive test series batches rapidly, identify topic weaknesses in real-time, and automate performance charts for students.