DigiKlas — From a School Corridor Conversation to 10k+ Students
A principal in rural Gujarat had one problem: parents didn't know if their child reached school. That conversation became DigiKlas — an AI-powered school management platform we built, own, and operate.
10K+
Students managed
14+
Modules built
97%
AI accuracy
70%
AI-assisted code
Not a Brief. A Conversation.
The best products often start with a real problem overheard — not a product spec document.
The Problem Worth Solving
Chanakya Vidhyamandir in Talod, Gujarat had a fingerprint biometric system at the entrance. Every time the power went out — frequent in rural Gujarat — it stopped working. No attendance. No parent notifications. A Kwiqwork founder heard this frustration during a visit. Not as a project brief. Just as a problem.
We rethought the approach entirely — tablet-based AI instead of biometrics.
Phase 1 Results
- Recognition accuracy97%
- Hardware requiredStandard Android tablet
- Parent notificationSMS within seconds
- Production runtime1.5+ years, zero critical downtime
- AI libraryKwiqwork proprietary Python ML
14 Modules. Every School Workflow Covered.
From attendance to analytics — each module replaces a manual, paper-based process that cost schools hours every week.
AI Attendance
Replaced fingerprint biometrics + manual registers
Admissions
Replaced paper forms and spreadsheets
Fee Collection
Replaced handwritten receipts and manual follow-ups
Exam & Report Cards
Replaced week-long manual generation
Timetable Management
Replaced whiteboards and printed schedules
Parent Communication
Replaced WhatsApp groups and lost circulars
Staff Management
Replaced manual salary and attendance tracking
Analytics Dashboard
Replaced zero data visibility
From Conversation to 10k+ Students
A disciplined progression from single-feature MVP to full platform — with production validation at every stage.
The Problem
Principal in rural Gujarat had a failing fingerprint system. Power outages meant no attendance, no parent notifications. Kwiqwork saw a problem worth solving.
Phase 1: AI Attendance MVP
Built a tablet-based facial recognition system using a proprietary Python AI/ML library. 97% accuracy. Parents notified by SMS within seconds. Deployed in weeks.
Phase 2: Full Platform
Expanded from single-feature attendance app to 14-module school management platform covering the complete workflow for schools with 100–1,500 students.
Production & Scale
Live across 5 schools, 10k+ students. 99.9% uptime for 1.5+ years. Deliberately capped to validate before scaling — go-to-market discipline in action.
We Don't Just Build for Clients. We Build Our Own Products.
DigiKlas proves we understand the full founder journey — not just the engineering.
For Funded Founders
We've lived the founder journey — architecture decisions, first users, production incidents at 6 AM. Multi-tenant SaaS serving 5 schools on isolated data.
For SaaS Product Teams
Phase 1 → Phase 2 evolution: single feature to 14 modules in 12 months. Custom AI/ML engineering with 97% accuracy. Architecture designed for deliberate scaling.
For AI Builders
70% AI-assisted development via our ADLC framework. Proprietary Python facial recognition library. Upcoming RAG-powered features in production planning.
Technologies Used
Full-stack web and mobile, with proprietary AI/ML built in-house.
Build Your Own Product With Us
The same team that built and operates DigiKlas is ready for your project.
Questions About DigiKlas
Common questions about how we built our own SaaS product and what it means for your project.
DigiKlas is an AI-powered school management platform built and operated by Kwiqwork. It's our proprietary SaaS product — not a client project. We built it from scratch, starting with an AI facial recognition attendance system and expanding to a 14-module platform serving 10k+ students across 5 schools in Gujarat, India.
Building a SaaS Product? We've Done It Ourselves.
We don't just build MVPs for others — we built and operate DigiKlas. Talk to founders who understand your journey.