Architecting the
Intelligence of Tomorrow.
Products that give teachers their week back. Programmes that put students in front of real research. And a lab that ships both.
One lab, three ways of
showing up.
We build products for the classroom, teach the students who will build the next ones, and publish the research underneath both. Each feeds the others — that is the whole thesis.
Grading is where
teaching goes
to die.
Not because faculty stopped caring — because 300 scripts and 48 hours leave no room for the one thing that actually teaches: telling a student exactly where their thinking broke.
GunanQ gives that room back. It measures every script against your rubric, then stops and waits. Nothing reaches a student until a human presses Finalize.
Everything we've built,
and what's next.
GunanQ
Rubric-grounded assessment that carries the mechanical weight of grading, then stops. AI proposes, faculty decides, and nothing reaches a student until a human presses Finalize.
- Rubrics
- Handwriting OCR
- Human-in-the-loop
Institution pricing
Per cohort · annual licence
TeamPulse
A task board, wiki, OKRs, attendance and weekly reporting in one application — where the weekly report is counted from the board rather than typed into a document, so a status update cannot disagree with reality.
- Task board
- Weekly reporting
- Wiki
Access on request
Per team
StorySoFar
One click in the call you are already in, and structured minutes are waiting when it ends — summary, decisions and action items with owners. No bot joins, nothing to admit, and your own voice is in the notes too.
- Google Meet
- Live transcription
- Action items
Access on request
Chrome · Google Meet
Atlas APM
A preparation engine for high-stakes exams. It names the specific misconception behind a wrong answer, schedules the day around it, and keeps what you have learned from decaying before exam day.
- Diagnostics
- Adaptive scheduling
- Spaced repetition
Access on request
Per cohort · institutions
Memory for Embodied AI
Persistent, grounded memory for embodied agents. In development — more when there is something worth showing.
- Episodic recall
- Spatial grounding
- Sim and real
Coming soon
SimRoboX
A high-fidelity physics simulator for reinforcement learning agents. Build complex 3D environments, train policies at scale, and transfer them to real hardware without breaking anything expensive.
- Gym-compatible
- Domain randomization
- Multi-agent
Early access
Free for academic labs
Mentorship, the way
it should have been.
Small cohorts, named mentors, and someone who reads your work every week.
GATE Preparation
AIR 11 · GATE CS
Solve problems in front of someone who can see how you think.
- Format
- Live, small cohort
- Duration
- 6–11 months
- From
- ₹24,000
- Next cohort
- Rolling admissions
Research Mentorship
3+ papers at top-tier AI venues
A real problem, a supervisor who reads your drafts, a submitted paper.
- Format
- 1:1 + lab group
- Duration
- 8–12 months
- From
- ₹35,000
- Next cohort
- Two intakes a year
1:1 Deeptech Mentorship
Built for students who want to build
Direction, not content — a weekly hour with someone who has done it.
- Format
- One-to-one
- Duration
- 3–6 months
- From
- ₹12,000
- Next cohort
- Rolling · limited seats
Give a teacher back their week.
Watch what they do with it.
The hours GunanQ removes are not saved — they are redeployed into doubt sessions, remedial classes and research. And the same conviction runs through everything else we do.
- 0%
- Less time on the mechanical part of grading
- 0%
- Of students receive written, personal feedback
- 0
- Best GATE CS rank from our cohorts
- 0
- Grades published without faculty sign-off
What we've been
working out.
Practical writing on assessment, GATE preparation, research and robotics — from the people doing the work.
AI and robotics internships in India — how to actually get one
What research and deeptech teams look for in intern applications, why most get rejected in thirty seconds, and what to build instead of another certificate.
Sim-to-real transfer — why your policy fails on hardware
A policy that is perfect in simulation and useless in the lab is not a bug in your training. It is a specific, diagnosable gap. Here is how to find and close it.
Publishing your first AI paper as an undergraduate
What actually stands between a capable student and a first publication — and the order of operations that gets you from reading papers to submitting one.
Work with us.
Two doors in.
Institutions: bring a real question paper and we will grade it in front of you. Students: tell us where you are trying to get to.