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EDTech · TestnTrack

98.5% Accuracy, 95% Faster: AI Grading That Outperforms Human Evaluators

95% Faster, 98.5% Accuracy

TestnTrack graded 100,000+ answer sheets per month with contracted human evaluators — ₹12L/month, 72-hour turnarounds, and 93% accuracy that generated student complaints. 9AI's dual AI grading engine (vision OCR + LLM rubric evaluation) delivers results in 4 hours at 98.5% accuracy. Monthly savings: ₹10.2L. Projected 3-year ROI: 640%.

95%

Grading Speed

faster

98.5%

Accuracy

vs 93% manual

₹10.2L

Monthly Savings

640%

3 Year ROI

AI-grading let our teachers focus on teaching, not tallying bubbles. It's more consistent than human evaluators - and faster than we thought possible.

— Vinay Sharma, Co-Founder, TestnTrack

TestnTrack delivers standardised assessments to schools and coaching institutes across India. At peak volume: 100,000+ answer sheets per month, split between MCQ bubble sheets and long-form subjective responses. Every sheet was graded by a network of contracted human evaluators.

Three problems compounded on each other. 72-hour turnaround broke the feedback loop that makes assessment valuable — students received results long after the test memory had faded. ₹20 per sheet meant scaling required proportionally more evaluators — the unit economics punished growth. And 93% human accuracy meant roughly 7,000 sheets per month were graded incorrectly, generating complaints and re-evaluation requests that consumed operations staff.

Manual Grading

Turnaround time

72 hours

Cost per sheet

₹20

Monthly OPEX

₹12L

Accuracy rate

93%

Teacher hrs per 1,000 sheets

100 h

AI Grading

Turnaround time

4 hours

Cost per sheet

₹3

Monthly OPEX

₹1.8L

Accuracy rate

98.5%

Teacher hrs per 1,000 sheets

10 h

#Dual AI Grading Engine

#How It Works

1

Mobile Capture with Offline Queuing

React Native app scans sheets in the field with offline queueing — sheets upload automatically when connectivity is restored. No dependency on stable internet at the assessment venue.

2

OCR/OMR Vision Engine

PyTorch + Detectron2 handles layout detection, bubble classification, and handwriting extraction. Works on low-quality scans, rotated sheets, and over-strikes. OMR accuracy: 99%.

3

Subjective Answer Evaluation

Vision transformer extracts handwritten text; GPT-4o evaluates against key-point rubrics, awarding partial marks for partially correct answers. Replicates expert evaluator judgement consistently.

4

Borderline Case Routing

Answers near grade boundaries flagged for human review. Teachers review 10% of sheets by exception — not 100% by default. Human oversight where accuracy matters most.

5

Continuous Model Improvement

Teacher corrections on flagged cases feed back into the training pipeline. Accuracy improves with every assessment cycle — the system gets better the more it's used.

#Common Questions About AI Grading

#Business Impact at 6 Months

95%

Grading Speed

faster

98.5%

Accuracy

vs 93% manual

₹10.2L

Monthly Savings

OPEX recovered

640%

3-Year ROI

projected

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We help industrial companies become AI-native, from AI strategy and readiness to industry-specific Operating Systems and embedded implementation & adoption.

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AI Audit9OS PlatformAI Implementation

Industries

Cable & WireOil & GasHarness

Company

AboutCase StudiesContactBlog

Resources

Media & NewsCareersCrunchbase
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“The next big thing in AI was always going to be human”

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