For CBSE Schools & Autonomous Colleges · Tirupati & Hyderabad

Exam results in 1–2 days, not weeks.

Reads handwriting, applies your rubric, and suggests a score with the reason shown — then your teacher approves in seconds. From 20–25 min → ~2–3 min per script.

Zero new hardware · No new student app · Data stays in India

0%less teacher time per script
1–2 daysto declare results — vs 3–4 wks
0+teacher hours freed / year
0free pilot papers, zero risk

Two ways to work

Automated grading, or one-click sign-off

GradingAI pre-grades the whole batch

Reads every handwritten answer, checks it against the rubric, draws the ticks and crosses on the exact lines, and suggests a score with the reason shown — zero teacher input until review.

  • Per-question marks against your scheme
  • Visible reason for every score
AI marking annotations on a scanned script
✓ +4.0 formula & steps correct · ✗ −1.5 unit missing

Teacher approves every final mark

Review a script in seconds, override any score you disagree with, then approve. The score locks, the pen-trail is committed, and it syncs straight to your ERP.

  • Enter to approve the next page
  • Permanent, court-compliant audit trail
Teacher review and sign-off screen
✓ Approved & signed off · 17 / 20

The hidden cost of paper exams

Today vs. with GradingAI

Slide the toggle to see what a 1,000-student campus changes.

Where the time, money and trust go

Result declaration 3–4 weeks 1–2 days
Teacher time / script 20–25 min 2–3 min
Annual cost ₹18–25 Lakh ~₹1.8–2.5 Lakh
Teacher load / year ~20,400 hrs ~2,040 hrs
Errors & disputes ~3.4L re-verifications, 8–12% change caught before sign-off
Why the last on-screen marking died: teachers drew every tick by mouse — more work, zero intelligence. GradingAI is not a PDF viewer.

How it works

90% AI pre-grading + 10% teacher verification

The machine does the heavy reading. The teacher stays in charge of every final mark.

1

Scan

QR-coded booklets run through the ADF scanner you already own — double-blind, no new hardware.

2

AI pre-grades

The model reads messy handwriting, checks the rubric, draws the ticks and suggests a score with the reason shown.

3

Teacher approves

Review in ~2–3 minutes per script, override anything, and hit Approve & Sign Off.

The Evaluator Canvas

Watch it grade a real scanned paper

Scanned handwritten physics answer script

AI marks pop in as it reads. Every mark carries a reason — human agreement ~95%.

Product

Built for the realities of Indian exam rooms

🛡️

Double-blind masking

Roll numbers are unmasked automatically via pre-printed QR codes, so evaluators judge the answer, not the student. No more partiality complaints.

⚖️

Court-compliant audit trail

On sign-off, every vector tick and correction is flattened permanently into the PDF — a physical-equivalent record for re-evaluation disputes and legal review.

🗂️

Rubric reasoning, always visible

Each suggested mark is paired with the rubric line it matched. Your teachers see why, so they trust the AI and can override it in one click.

⌨️

Rapid keyboard workflow

Enter to approve and jump, Tab to override a score, Ctrl+Z to undo a pen stroke. Clearing a batch becomes a rhythm, not a chore.

🔗

ERP integration, zero new apps

Marks and feedback sync into your existing stack — MyCamu, Entab, EduSys or a custom ERP — and show up in the student app they already use.

🇮🇳

Data stays in India

End-to-end encryption, DPDP-aligned practices and hosting on Indian domestic cloud (E2E Networks / AIC Cloud). Your students' data never leaves the country.

The differentiator

A mark is not feedback. This is.

Every corrected paper becomes a personal diagnostic report — so a "17/20" turns into exactly what to study next.

  • Concept mastery bars — which micro-topics are strong, which are weak.
  • Error classification — conceptual gap, arithmetic slip, or presentation issue.
  • Timestamped video lessons — a 5-minute clip on the exact sub-topic failed.
  • NCERT citations — chapter and page references your students already own.
  • Auto practice sheet — a 3-question remedial PDF built from their weak points.

Students ignore static downloads. So we link to videos and build practice they actually attempt — a learning loop that compounds every exam.

Concept Mastery — Physics · Sem IV

Moment of Inertia formulas96%
Surface mass density integration41%
Sign conventions & units63%
Errors found

• Q3(a): conceptual gap — density integration

• Q4(b): arithmetic slip — 16 × 3

🎯 Recommended: watch 3-min video on planar lamina integration + practice sheet Q2

Why not just ChatGPT?

A chatbot grades a paper. We run an exam office.

Pasting a paper into Gemini or ChatGPT gets you a guess — not a defensible, batch-wide evaluation. Here's the gap, and why it keeps widening.

What a chatbot can't do

  • No rubric engine — it won't allocate marks question-by-question against your scheme and show the reason for each one.
  • No double-blind masking — no QR-decoded roll numbers, so no defence against partiality complaints.
  • No audit trail — no flattened pen-mark PDF that survives re-evaluation and court review.
  • No batch workflow — no valuation queues, dual-valuation routing or ERP sync for 6,000 scripts a month.

Our moat: the feedback loop

  • Every sign-off teaches the system. Each mark a teacher approves or overrides re-calibrates the rubric to your syllabus, your past papers and your students' handwriting.
  • Accuracy compounds per campus. The more exams we grade with you, the closer AI–human agreement gets — already ~95% and rising.
  • Switching costs rise. A competitor starts from zero grading history on your campus. We start from thousands of teacher-verified scripts.
  • The student loop closes it. Grades become diagnostics → diagnostics reveal what students fail → teaching sharpens → the next exam scores better. That data keeps compounding.
Trust is built one approved mark at a time — which is exactly why our accuracy can't be copy-pasted.

Principal / COE view

What is your teachers' time really costing?

A teacher spends 20–25 minutes on each descriptive script — most of it re-reading and re-totalling. Calculated monthly, forecast to a year. Adjust the numbers for your campus.

Teacher hours freed / month1,700 hrsreturned to teaching, not marking
₹ value of freed time / month₹5.1 Lakhat ₹300 / hour
Annual forecast₹61.2 Lakh≈ 20,400 hrs / year returned
Result declaration28 days faster30 days → 2 days
GradingAI is priced per enrolled student, per month — predictable, and based on your total student strength. Try the free 100-paper pilot and measure these numbers on your own scripts before committing a rupee.

Compliance & privacy

Legal, secure, and accountable by design

DPDP2023 data protection aligned
E2Eencryption in transit & at rest
🇮🇳Indian domestic cloud hosting
⚖️auditable evaluation trail
🧑‍🏫teacher sign-off on every paper

Pricing

Honest, per-student pricing

Per enrolled student, per month — so the price scales naturally with your total student strength. No surprise setup fees.

Pilot

₹0/ 100 papers

  • 100 real papers, 3-day turnaround
  • AI pre-grading + teacher review
  • Accuracy & teacher-time report for your COE
Start pilot

College / University

₹100–150/ student / month

  • Everything in School, plus
  • COE compliance & audit module
  • Custom ERP integration
  • Dedicated account manager
Talk to us
< 500 studentstop of band
500 – 2,000 studentsmid band
2,000+ studentsbottom of band

The per-student rate decreases as total enrolment grows — a 2,000+ student campus pays less per student than a 300-student school. The exact rate is confirmed after the free pilot.

The offer

Free 100-paper campus pilot — zero risk

Take one recently completed internal mock exam and let us prove the accuracy on your own papers.

Day 1

Scan 100 papers

Use your existing campus scanner. QR-coded, double-blind, nothing leaves your campus servers.

Day 2

Teachers review

Three senior faculty try the 1-click evaluation portal on real answer scripts — no training needed.

Day 3

Accuracy & savings review

We compare AI marks vs your corrections, collect teacher feedback, and present the ROI case to your Principal & COE.

100% free. 100 papers. 3 days. You keep every report we generate — even if you never sign with us.

Pitch deck

The full story, slide by slide

Flip through the complete 16-slide deck we present to principals and COEs — or download it.

FAQ

Questions principals ask us

What about messy handwriting? Will it misread students?

Our hybrid OCR + vision pipeline is built for Indian handwriting styles and messy scans. Independent evaluations put AI–human agreement at ~95% on descriptive answers — and higher when teachers calibrate the rubric on a sample first. Crucially, nothing is final until a teacher signs off — a misread mark is caught and corrected in seconds, not weeks.

Does this replace our teachers?

No. It removes ~90% of the correction time that is re-reading, re-totalling and writing the same comments — turning ~20–25 minutes per script into ~2–3 minutes of review. Teachers keep full authority over every mark and gain time for actual teaching.

We already use MyCamu / Entab. Do we need new software?

No. We integrate with your existing ERP and student app through REST APIs and webhooks. Teachers and students stay in the tools they already use.

Do we need to buy scanners or new hardware?

No. We work with the ADF scanners campuses already own — Canon, Fujitsu, Epson — via standard TWAIN/WIA drivers, with automatic deskew, contrast and blank-page discarding.

How does your pricing work?

Per enrolled student, per month, billed for the academic year. Schools pay ₹75–100 per student/month and universities slightly more; the per-student rate drops as total student strength grows. You only start paying after a free 100-paper pilot confirms the value on your own scripts.

Where is student data stored?

On Indian domestic cloud infrastructure (E2E Networks / AIC Cloud), encrypted in transit and at rest, and aligned with DPDP 2023 requirements. We can also run fully on-prem for sensitive campuses.

Will this survive re-evaluation disputes?

Yes. Every tick, score and override is permanently flattened into the PDF at sign-off, creating a physical-equivalent audit trail that stands up in re-evaluation and legal review.

How is this different from pasting papers into ChatGPT or Gemini?

ChatGPT and Gemini are general-purpose chatbots: paste a paper and you get a guess — no rubric, no per-question mark breakdown, no double-blind masking, and nothing you could defend in court. GradingAI is built around the exam office: a rubric engine that shows the reason for every mark, teacher sign-off, a flattened pen-mark PDF for disputes, and ERP integration. It's a grading system, not a chat window.

What's your moat? What stops someone copying you?

Anyone can build a vision model. The moat is the feedback loop: every mark your teachers approve or override re-calibrates our rubric to your syllabus, your past papers and your students' handwriting. Accuracy compounds with every exam we grade for you, and a competitor starting today has zero grading history on your campus. Switching away means throwing away that calibrated accuracy.

Why is the feedback loop so important?

Grades alone are static — the loop is what compounds value. A corrected paper becomes a diagnostic report, which pinpoints the exact sub-topics a student failed, which drives targeted teaching, which shows up in the next exam — and every step gives the AI cleaner signal. It turns a one-time correction service into an asset that gets smarter every term.

Let's talk

Book your free 100-paper pilot

Pick a time for a 20-minute call or campus visit. We'll bring the demo, the deck and a pilot plan for your next internal exam.

Serving CBSE schools & autonomous colleges in Tirupati, Hyderabad and Telangana / Andhra Pradesh.