Secure scanning & upload
Physical answer sheets are scanned and uploaded securely — the digital workflow removes shipping, storage and examiner travel from the process entirely.
AI onscreen marking
Eklavvya’s patented Onscreen Marking System scans, OCRs and AI-grades handwritten answer scripts alongside your evaluators — cutting result processing from 45 days to 8, without an answer sheet ever leaving the building.
How marking works
Physical answer sheets are scanned and uploaded securely — the digital workflow removes shipping, storage and examiner travel from the process entirely.
An OCR engine converts handwriting to digital text, then a domain-tuned model compares each answer to the model answer and explains its mark adjustments.
Faculty review AI evaluations, add feedback, and generate progress, performance and question-level analytics before results are published.
QR code identity masking supports blind grading, and an automated re-evaluation workflow tracks escalations and re-checks against a timeline.
Admin, COE, examiner, scanner, moderator and re-evaluator roles keep the marking process auditable and aligned to institutional controls.
Default, easy, moderate and strict marking modes let an institution match AI grading rigor to the exam’s stakes.
The transformation
8 days
Result processing time (down from 45 days)
80%
Reduction in operational cost per evaluation
200+
Faculty hours saved per evaluation cycle
5M+
Evaluations completed
FAQ
Institutions typically move from a 45-day result cycle to 8 days — an 82% reduction — while cutting operational cost per evaluation by roughly 80%.
No — it works alongside them. Faculty review the AI’s scoring and feedback on every answer sheet, add their own comments, and sign off before results are finalized.
English, Hindi, Marathi, Tamil and Telugu are supported for evaluation, with AI feedback translatable for review.
Yes — Eklavvya holds an India and Worldwide PCT patent for its Onscreen Marking System.
A QR code conceals the student’s identity on the digitized answer sheet to support blind grading, and an automated re-evaluation workflow tracks any escalated re-checks against a timeline.
Bring a sample batch — we'll show you AI evaluation alongside your evaluators.