Edge AI Education · Lucknow, India

The AI Economy is already here.
Will your students lead it?

We teach everyone in schools and colleges to build AI - not just use it. Real hardware. Real datasets. Real outcomes that show up in college applications and first jobs.

15+ years in AI & Security NVIDIA Partner Program Live Lab in Lucknow 🇮🇳 Startup India Registered
NVIDIA-powered Centre for Artificial Intelligence and High Performance Computing - real AI lab
NVIDIA

Powered AI lab - the real environment your students will train in.

Who we serve

Built for the Indian education system.

Whether you run a CBSE school, an engineering college, or a vocational institute, our programs slot into your calendar, your batch sizes, and your students' real ambitions.

CBSE Schools

Senior secondary AI integration

ICSE Schools

Computer applications & STEM

Engineering Colleges

UG / PG electives & clubs

Polytechnic Institutes

Diploma-level AI tracks

ITI / Vocational

Hands-on AI fundamentals

Govt Institutions

Public-sector AI capacity

Private Schools

Premium AI electives

Coaching Programs

Add-on AI cohorts

AI infrastructure - server racks with data flowing

"Every company will be an AI company. The question is whether your students will work in one - or build one."

Inspired by Jensen Huang · CEO, NVIDIA

Our programs

Four programs. One curriculum. Built for institutions, not consumers.

Pick the entry point that fits your school or college. Every program teaches the same core skill: how to build AI, not just use it.

01

Student AI Program

A 12-week cohort where students collect data, train models, and ship an end-to-end AI project on real hardware.

Learn more →
02

Teacher Training

A 5-day intensive that turns existing CS / STEM teachers into confident, classroom-ready AI educators.

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03

Full AI Lab Setup

Turn-key AI lab on your campus: GPU workstations, edge devices, curriculum, teacher onboarding and a year of support.

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04

AI Student Kit

A portable AI lab in a box - hardware, datasets, mentor access, and a workbook the student keeps after the program.

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The problem

Your students know AI. But can they build it?

Most students today have used a cloud-based AI tool. Very few have ever trained a model, labelled a dataset, or run inference on real hardware. That gap - between using and building - is the gap between being a consumer of the AI economy and a creator inside it.

38%

of government schools have internet access

Source: UDISE+ Data

29%

of teachers have digital pedagogy training

Source: India Education Report

Zero

GPU hardware in most school AI labs today

Source: Ground reality

What most schools teach as "AI"
  • Slides explaining what AI is
  • Demos of cloud-based AI tools
  • Drag-and-drop block coding
  • Theory without hardware
  • No exposure to datasets or model training
What AI careers actually require
  • Hands-on training of real models
  • Working with datasets - collection, labelling, cleaning
  • Inference on edge devices and GPUs
  • Python, PyTorch, model evaluation
  • Building a project the student owns end-to-end

The global race

The world is racing to build AI builders. Not AI users.

🇨🇳 China

  • AI mandatory in K-12 from 2025
  • National AI textbook rollout across provinces
  • State investment in school-grade AI labs
  • Goal: become the world's primary AI talent base by 2030

🇺🇸 United States

  • Federal push for AI literacy in K-12
  • Universities embedding AI across every major
  • NSF and DARPA funding student AI builders
  • Industry-school partnerships at scale

🇮🇳 India

  • NEP 2020 mentions AI - implementation lags
  • Most schools still teach AI as theory only
  • Hardware access concentrated in elite institutions
  • Teachers ready, but training infrastructure missing

Sources: UNESCO AI in Education Report, NEP 2020, Stanford AI Index

How we teach

From first exposure to a working model - in four stages.

Every stage is hands-on. Every stage is on real hardware. No simulators, no toy demos.

01

See It

Students watch a live AI model run on real hardware - perception, classification, decision in real time.

02

Understand It

We open the model. What is a neural network doing? What data trained it? Where does it go wrong?

03

Train It

Students collect data, label it, and train a model end-to-end on GPU - the same workflow industry uses.

04

Build With It

Students ship a working AI project - deployed to an edge device, solving a problem they chose. Theirs to keep.

What students build

Real projects. Indian context. Portfolio-grade.

A sample of the projects student cohorts have built or are scoped to build - chosen for their relevance to Indian classrooms, communities, and careers.

Vision · Agriculture

Crop Disease Detector

Edge model that identifies leaf disease in wheat and tomato from a phone camera - trained on a student-collected dataset.

Speech · Indian Languages

Hindi Voice Command Recognizer

A small speech model that recognizes 20 Hindi voice commands offline - runs on a sub-1W edge board.

Vision · Public Safety

Traffic Sign Classifier

An on-device model that recognizes Indian road signs from dashcam footage - first step toward driver-assist research.

Sensors · Environment

Air Quality Predictor

A regression model trained on local AQI sensor data, predicting next-hour pollution for a student's neighbourhood.

Vision · OCR

Number Plate OCR

A two-stage model: detect plate, read characters - all running offline on a credit-card-sized edge device.

Vision · Edge

Real-time Object Detector

A trained object detector running at 30 FPS on edge hardware - the student's first taste of production-grade ML.

Why PaniniX Labs

Practitioners. Not theorists. Based in Lucknow, building for India.

We bring fifteen years of AI & security work into the classroom - and we are doing it from a Tier-2 city, on purpose.

15+

Years in AI & Security

Practitioner expertise from the field, not the textbook.

NVIDIA

Active Partner

Member of the NVIDIA Partner Program, with current AI tooling.

Live

Demo Lab in Lucknow

A working AI lab you can visit and see in person, today.

🇮🇳

Startup India Registered

Built in India, for Indian schools, colleges, and students.

Voices in the room

The people shaping the AI economy are clear about what comes next.

"

People who learn to adopt and adapt to AI will do better. The earlier students learn the tools, the more they can shape what comes next.

Sundar Pichai · CEO, Google

One conversation. One decision. A different future for your students.

Book a free 20-minute demo with our team. We will walk through your institution, your students, and which program fits.

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