What ScribeAI is
AI does the grading. Your mentors do the deciding.
Not another…
- A content library or test series
- A generic AI chatbot
- A black-box auto-grader with no human oversight
The problem
Practice without feedback is just writing.
Mains is won on answer writing — but real feedback on every answer, fast enough to act on, has never been possible at an institute's scale.
How it works
AI speed. Human judgment.
AI does the first pass at scale; your mentors keep the final say. That's the difference between ScribeAI and an unchecked chatbot.
Evaluation
See exactly where every mark was won or lost.
Every answer is scored on three dimensions — content, structure, and language — with sentence-level notes and a coverage map of the angles a UPSC answer is expected to address.
- Content · Structure · Language, each out of 10
- Dimensional coverage across 7 UPSC angles
- Sentence-level annotations, not just a number
Dimensions coverage
The engine
Grounded in the syllabus — not a generic LLM.
ScribeAI doesn't just ask a language model what it thinks. Every answer is evaluated with retrieval-augmented generation — pulling in the real syllabus, marking scheme, and topper-standard answers — so scores are consistent, defensible, and on-syllabus.
- Retrieval-augmented (RAG) — grounded in the real syllabus and sources
- Scored against the official marking scheme, not a model's opinion
- Tuned for answer evaluation — not a general-purpose chatbot
✕ not a generic LLM response
ScribeAI — Capabilities
Six tools your students use every day.
Students upload a handwritten answer; ScribeAI returns rubric-level feedback in about 90 seconds — scored on content, structure, and language.
Daily Dojo
A daily workout for every aspirant.
Three practice modes, each timed, scored, and reviewed by faculty — so students build the habit and the muscle, every single day.
For students
A dashboard that keeps students coming back.
XP, streaks, batch rank, and a 7-day consistency tracker turn daily practice into a habit — while weak-topic detection points each student at exactly what to revise next.
- XP, streaks & batch leaderboard
- 7-day consistency tracker
- Auto-detected weak topics after every answer
ScribeAI — Built for three roles
One platform. Three roles.
Every AI evaluation flows through a mentor before it reaches a student. AI does the first pass at scale; your faculty keep the final say. That is the difference between ScribeAI and an unchecked chatbot.
For institutes
A command center for the people who run the academy.
Everything a director and faculty need to run AI-assisted evaluation at scale — review, staff, analyze, and grow, all in one branded dashboard.
Review Desk
A live queue of every answer, paper, MCQ, and note waiting for mentor review — claim, score, and approve.
Manage Faculty
Add mentors, balance review workload, and delegate exactly which pages each one can access.
Usage Insights
Faculty-first analytics: eval volume, engagement, mentor SLA, weak topics, and at-risk students.
Manage Students
Bulk-enroll students, control access, reset logins, and track each learner's progress and weak areas.
Lead Center
Capture demo signups and trials, track conversion, and assign follow-ups to your team.
Announcements
Broadcast schedules, tips, and updates straight to students' dashboards and notifications.
OMR Tests
Build branded OMR sheets, then scan and grade them instantly with per-question breakdowns.
Billing & API
Manage plans, balance, and invoices — plus API keys and webhooks for deeper integration.
White-label
Your brand, your domain, your mentors — our engine.
Every institute gets its own domain, logo, and colours. Students see your brand — not ScribeAI. One engine, fully re-skinned for each academy. The academies below are illustrative examples of how the same product looks under different brands.
ScribeAI — Operational Outcomes
What the system produces.
Evaluation at scale
Answer scripts evaluated at scale with consistent logic, concept-level tagging, and structured feedback — in a fraction of the time manual batch grading takes.
Actionable student intelligence
Every student receives feedback that identifies not just what was wrong, but which concepts were missing, how to address them, and what to practise next.
Institutional knowledge continuity
Cohort patterns, question quality, and knowledge gap distributions are preserved cycle over cycle — no more resetting at the start of each exam period.
Adaptive system improvement
Each evaluation cycle feeds back into the knowledge graph and rubric logic. The system becomes more accurate, more contextual, and more precise over time.