Have you built for tier-2/3 markets?

Yes — explicitly. Our adaptive learning case study went from 0 to 120K learners across tier-1, tier-2, and tier-3 cities. The architecture decisions (offline-first, sub-50MB install, multilingual, gamified) came from field interviews with real users.

Do you support live classes / video?

Yes — WebRTC-based with selective forwarding for >100 concurrent users, whiteboard collaboration, screen share, recording with playback. We've shipped systems running 500+ concurrent live classes.

How do you handle anti-cheat for online exams?

Layered approach: device fingerprinting, browser lockdown via secure exam browser, AI-assisted face/eye tracking, randomised question pools, time-boxed sections. We balance security with UX — over-aggressive anti-cheat tanks completion rates.

What about LMS integrations?

Yes — SCORM 1.2 and 2004, xAPI / Tin Can, LTI 1.3 for institutional integrations with Moodle, Canvas, Blackboard, and corporate LMSes (Cornerstone, SAP SuccessFactors).

Can you build content authoring tools?

Yes — and we recommend it. The content team's UX is often half the system's value. We build authoring tools alongside learner apps as part of the same engagement.

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Industry · EdTech

EdTech that works on a ₹6,000 phone in tier-3 India

Adaptive learning, test prep, K-12, corporate L&D. Mobile-first, multilingual, low-bandwidth, accessibility-first. Built by engineers who've watched real students try real apps on patchy 4G.

120K+

Active learners on platforms we built — across tier-1, tier-2, and tier-3 India

Industry-specific · 01

What's different about building software here

These are the constraints generic agencies miss. We've been burned by them ourselves — and built systems that handle them.

Patchy connectivity is the default

Tier-2/3 users have intermittent 4G, limited data, and ₹6-10K Android phones. Apps designed for unlimited bandwidth bounce hard. We design offline-first with intelligent sync.

English isn't always the medium

Hindi, Marathi, Tamil, Telugu — and within each, layout direction, font rendering, and text length differ. We don't just translate strings; we redesign layouts for icon-first comprehension.

Engagement decides retention

Educational content is inherently boring. Streaks, leaderboards, gamification — when designed right — drive 30+ minute daily sessions. When designed wrong, they feel manipulative.

Adaptive difficulty without ML PhD complexity

Most adaptive engines are over-engineered. The 80% case is recalibrate-every-N-questions based on accuracy + time-to-answer. We build pragmatic, explainable difficulty engines.

Compliance varies by market

COPPA for under-13 in US, India's DPDP, GDPR for EU. Plus parental consent flows, age verification, content moderation, safety reporting. Each layer adds complexity.

Content authoring is 80% of the system

Most EdTech platforms underestimate the content management UI. The teacher / content team's UX decides how much content can be produced per week — and that decides growth.

Our posture · 02

How we approach this industry

We started building EdTech for India in 2020. The first platform we shipped failed initial launch — engagement was high in tier-1 cities and zero in tier-2. We rebuilt with field interviews in Pune, Nashik, and rural Maharashtra. Watched a 16-year-old try to use our app on her mom's phone with 100MB of data left. The constraints we'd ignored — install size, data usage, layout breaking on small screens, English-only error messages — were exactly the ones killing us. Today we won't take an EdTech engagement without field testing in week 1. If you're building for tier-2/3 India, this is the only thing that separates real product-market fit from theoretical engagement.

Capabilities · 03