Salaried EdTech Engineers | 48-hr Onboard

Hire EdTech App Developers in India

Get senior, salaried EdTech engineers who ship LMS platforms, live-class systems, adaptive-learning engines, and video-first apps. Transparent INR pricing, NIT/IIT alumni on the team, 1-week trial.

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Hire senior EdTech app developers in India — salaried engineers who shipped adaptive learning, LMS, and live classes

Xenotix Labs is where founders come to hire EdTech app developers in India who have actually shipped a live, AI-driven learning product — not a course-video wrapper stitched together over a weekend. We are a founder-led, startup-first software company, and the engineers we put on your edtech build are salaried, full-time employees, not freelancers rented from a marketplace. Our team includes NIT and IIT alumni (NIT Kurukshetra, IIT Bombay among them), works IST-aligned out of our Modinagar and Noida hubs, and has collectively shipped 110+ apps across 50+ brands with more than 10 million users, holding a 4.7-star rating across 76 reviews. When you hire an edtech engineer through us, you get someone who has built the exact primitives edtech products are made of.

The clearest proof is Alcedo — our flagship AI adaptive-learning edtech platform. Alcedo is not a demo; it is a production system where the learning path bends to the individual learner, difficulty adjusts from performance signals, and mastery is scored rather than guessed. The engineers who designed Alcedo's adaptive engine, its assessment pipeline, and its content model are on the same bench you hire from. That is the difference between hiring a generalist mobile developer who will learn edtech on your budget, and hiring an engineer who already knows why a naive quiz table melts on exam day, how to keep a WebRTC live class stable on a patchy 4G connection in a Tier-3 town, and how to structure adaptive difficulty so it feels personal instead of random.

Edtech is deceptively hard, and it is hard in ways that only show up in production. A learning app is really four difficult systems wearing one logo: a content and LMS layer with course authoring, enrollment, SCORM/xAPI tracking, and multi-tenant isolation; a live-class layer on WebRTC with media routing, recording, and breakout rooms; an assessment engine that has to survive lakhs of concurrent test-takers hammering submit in the same sixty seconds; and a video pipeline with adaptive bitrate, DRM, and offline downloads tuned for data-conscious Indian learners. Most agencies can build one of these convincingly. We have shipped all four, which is why our engineers can reason about the seams between them — the place where most edtech products actually break.

Our hiring models flex to your stage and are priced in transparent INR with no post-call markup. Pre-seed and bootstrapped founders usually start with a Part-Time Developer at ₹60,000–₹1,10,000 per month (80 hours) — enough senior firepower to ship a learning-app MVP without a full-time burn before product-market fit. Seed-funded teams take a Dedicated Developer at ₹1,20,000–₹2,20,000 per month (160 hours, exclusively yours). US, UK, and UAE customers, and anyone needing surge capacity or a WebRTC/assessment audit, take Hourly engagements at ₹1,500–₹2,700 per hour. Every engagement includes a mutual NDA signed before scoping, 100% IP transfer to you from day one, and a 1-week paid trial so the decision is de-risked before you scale it.

Why hire edtech developers from India specifically in 2026? The cost economics remain compelling — even after the rupee's recent strengthening, senior edtech engineers in India ship comparable output to US peers at roughly 60–70% lower cost. But cost is table stakes; the deeper reason is depth of edtech experience. India runs some of the largest learning platforms on earth, exam-prep at a scale no other market rehearses, and the resulting engineering talent has fought the exact battles your product will face: concurrency spikes on results day, video delivery to price-sensitive mobile users, vernacular content, and low-bandwidth live classes. That accumulated, scar-tissue knowledge is what you are really buying when you hire edtech developers in India, and it is why Xenotix engineers ship shippable code in week one instead of week four.

Onboarding is genuinely 48 hours, not a slogan, because there is no ramp on internal patterns — our engineers wrote them. They come pre-loaded onto our internal component library, our LMS and assessment scaffolds, and the adaptive-learning patterns proven on Alcedo, so your first sprint produces working software rather than architecture debates. You keep the person you onboard; engineers do not silently rotate off your project mid-release. And because we are salaried-employee-based, the accountability chain is real: the founder, the engineering lead, and the individual engineer all answer for your delivery. This page walks through exactly what we build, how our engineers are vetted, what each engagement tier costs, the case studies that prove it, and the questions founders ask before they hire an edtech developer in India.

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Written by Xenotix Labs Engineering

Founding Engineering Team

Xenotix Labs has shipped 110+ production startup products across D2C, fintech, edtech, sports, healthcare, and legal-tech. Our Flutter and React Native engineers are the same people who lead architecture decisions on every mobile engagement.

Sub-services

What we ship inside hire edtech app developers in india

Real engagements, real case studies — not a feature list. Each sub-service is one we have shipped to production.

LMS Platform Development (SCORM / xAPI, Multi-Tenant)

We build complete learning management systems: course authoring, enrollment and cohorts, progress tracking, SCORM and xAPI content support, certificates, and role-based dashboards for learners, instructors, and admins. Multi-tenant architecture lets one codebase serve many schools or coaching brands in isolated workspaces with their own branding and data.

Use cases: Coaching institutes going digital, corporate L&D platforms, K-12 school portals, franchise/white-label edtech, B2B2C training marketplaces

Shipped on: Alcedo ships LMS primitives — course structure, enrollment, and progress tracking — as the substrate its adaptive engine reads from, so our LMS patterns are proven under a real adaptive workload.

Live Classes & Virtual Classrooms (WebRTC)

Low-latency live classrooms on WebRTC: one-to-many teaching, breakout rooms, screen share, interactive whiteboard, hand-raise, in-session polls, and session recording. We handle SFU media routing, adaptive quality, and graceful degradation on weak networks so a live lecture never freezes for a learner on rural 4G.

Use cases: Live coaching, doubt-clearing sessions, cohort-based courses, corporate training webinars, one-on-one tutoring marketplaces

Shipped on: Our engineers built the real-time infrastructure patterns behind Alcedo's live-feedback loops and apply the same WebRTC discipline used across our real-time products to keep classrooms stable at scale.

Adaptive-Learning & Personalisation Engines (ML)

The core of modern edtech: an engine that adjusts difficulty per learner using performance signals, spaced repetition, and mastery scoring, then recommends the next-best question or lesson. We build the data model, the scoring pipeline in Python, and the feedback loop that makes a learning path feel personal rather than one-size-fits-all.

Use cases: Exam prep with personalised practice, skill-mastery platforms, language learning, remedial-learning products, corporate upskilling paths

Shipped on: This is precisely what Alcedo is — our flagship AI adaptive-learning platform. The engineers who designed Alcedo's adaptive engine and mastery model are on the bench you hire from.

Quiz, Test & Assessment Systems

Assessment engines built to survive exam day: timed tests, question banks, sectioning, negative marking, randomisation, auto-grading, proctoring hooks, and rich per-question analytics. We design for lakhs of concurrent test-takers hitting submit in the same minute — the hardest reliability problem in Indian edtech — with queued, idempotent submission handling.

Use cases: Mock-test platforms, competitive-exam prep, certification testing, in-app formative quizzes, adaptive practice sets

Shipped on: Alcedo's adaptive engine is fed by a robust assessment pipeline; our engineers built the scoring, item-analysis, and concurrency handling that adaptive personalisation depends on to be accurate.

Video Streaming, VOD & DRM

Adaptive-bitrate video with HLS/DASH, DRM protection against piracy, resumable playback, offline downloads, and watch-analytics. We encode per-quality for India's mobile-first, data-conscious learners and deliver from AWS Mumbai via CDN so buffering stays low even on constrained connections and mid-range Android devices.

Use cases: Recorded-course libraries, hybrid live-plus-VOD platforms, downloadable-lecture apps, secure premium-content delivery

Shipped on: Our AWS Mumbai video-delivery patterns power content-heavy products in the portfolio, and the same pipeline underpins Alcedo's lesson delivery to learners across variable network conditions.

Cross-Platform Learning Apps (Flutter / React Native)

Native-feeling iOS and Android learning apps from a single Flutter or React Native codebase: offline-first content sync, streak reminders via push, in-app purchases for course unlocks, gamified progress, and accessibility. Shipped to the App Store and Play Store, with staged rollouts and store-review handling included.

Use cases: Consumer learning apps, gamified skill apps, exam-prep companions, vernacular-first learning products, K-12 student apps

Shipped on: Xenotix has shipped 110+ apps in Flutter and React Native across the portfolio; Alcedo's learner experience rides on the same cross-platform mobile patterns our engineers reuse.

Monetisation: Payments, Subscriptions & Cohorts

The revenue plumbing: Razorpay and Stripe for one-time purchases, EMI, subscriptions, and cohort-based drip access, plus coupon engines, referral loops, and revenue dashboards. We build the money layer that turns an edtech MVP into a business that reliably collects, renews, and reports — not just a nice product.

Use cases: Subscription learning platforms, cohort course sales, freemium-to-paid funnels, B2B invoicing for institutes, referral-driven growth

Shipped on: Payment and subscription integration is standard across Xenotix commerce builds; we bring proven Razorpay/Stripe patterns from products like Veda Milk and Mappu directly into edtech monetisation.

Learning Analytics, Dashboards & Team Augmentation

Instructor, parent, and admin dashboards surfacing engagement, mastery, drop-off, and cohort comparison, backed by event instrumentation on every learning action. You can also hire a pre-formed edtech pod — engineers plus design and PM — instead of stitching together individual hires for an end-to-end build.

Use cases: Founder analytics for retention, instructor performance views, parent progress reports, scaling an in-house edtech team, mid-project rescues

Shipped on: Alcedo's adaptive decisions are only as good as its analytics; our engineers built the learning-event instrumentation and dashboards that make personalisation observable and tunable.

Tech stack reasoning

How we vet edtech engineers, and why this stack wins for learning products

Our edtech engineers are vetted on the dimensions that actually decide whether a learning product survives contact with real users. First, LMS and content-model depth — they can design course, module, lesson, and enrollment schemas that stay sane as a catalogue grows, and they know SCORM/xAPI tracking well enough to integrate third-party content without it becoming a black box. Second, real-time competence — they have shipped WebRTC in production and understand SFU routing, jitter, recording, and degradation on poor networks. Third, assessment concurrency — they can articulate exactly why a naive quiz submission path collapses under a results-day spike and how idempotent, queued handling fixes it. We do not hire generalists who will discover these lessons on your budget.

The stack we standardise on is chosen for edtech's specific constraints, not fashion. Flutter and React Native give us one codebase across iOS and Android, which matters because edtech audiences are overwhelmingly mobile and often on mid-range Android; shipping twice is a tax founders should not pay pre-scale. Next.js powers the web app and instructor/admin consoles with server rendering for fast, SEO-friendly public pages and course catalogues. Node.js handles the API and real-time coordination, while Python carries the adaptive-learning ML — scoring, mastery estimation, and recommendation — because the data-science ecosystem there is unmatched. This split lets each part of an edtech system be built in the language that suits it, by engineers who are strong in that language.

WebRTC is the backbone of live classes, and it is not something to bolt on late. Our engineers design the media topology up front — SFU for one-to-many teaching, TURN fallback for restrictive networks, adaptive quality so a weak connection drops resolution rather than the whole class, and server-side recording for replay. This is why our live-class builds hold up in Indian conditions where naive peer-to-peer approaches fall apart. For video-on-demand, we lean on HLS/DASH adaptive bitrate with DRM and offline downloads, encoded per-quality and served from AWS Mumbai so latency and buffering stay low for the price-sensitive, bandwidth-constrained learner who is the median edtech user in India.

PostgreSQL is our default data store for a reason edtech makes obvious: learning data is deeply relational — learners, enrollments, attempts, items, mastery states — and it demands the integrity, transactions, and query power a mature relational engine provides, especially when an assessment must never double-count or lose a submission. We host on AWS Mumbai for data-residency comfort and low in-country latency, with autoscaling to absorb exam-day spikes and CDN video delivery close to learners. The through-line across every choice is the same: we pick technologies our salaried engineers have already run in production on real learning products, including Alcedo, so your engagement starts producing shippable code in week one instead of paying for a ramp.

Pricing & timeline

How much does hire edtech app developers in india cost?

Published tiers, not opaque quotes. Every range below is one we have shipped engagements at.

Hourly / Surge & Audits

₹1,500 – ₹2,700 / hour

$18 – $32 / hour

TimelineSame-day start when bench available
Team1 senior EdTech engineer
ScopePer-hour engineering for WebRTC audits, assessment-engine scaling, video-pipeline fixes, LMS code review, or short consulting on an existing edtech codebase
Best forExisting edtech products needing surge capacity, a live-class stability fix, or a diligence-grade audit

Part-Time Developer

₹60,000 – ₹1,10,000 / month

$700 – $1,300 / month

TimelineStart in 48 hrs
Team1 senior EdTech engineer (50% allocation)
Scope80 hrs/month, weekly progress demos, flexible scheduling, mutual NDA, 100% IP ownership
Best forPre-seed and seed founders validating a learning-app MVP or adding features to a live platform

Dedicated Developer

₹1,20,000 – ₹2,20,000 / month

$1,400 – $2,600 / month

TimelineStart in 48 hrs
Team1 senior EdTech engineer (100% allocation)
Scope160 hrs/month, daily standups, full-time exclusive allocation, 1-week paid trial, 100% IP
Best forSeed and post-seed teams building an LMS, live-class, or adaptive-learning app end-to-end

Pricing varies with scope, integrations, and compliance needs. Every engagement starts with a fixed-scope written estimate after a 2-week paid discovery — never an open hourly meter.

Real case studies

Production case studies — not deck pages

Each hire edtech app developers in india engagement below is live, in production, and serving real users today.

Alcedo — AI adaptive-learning EdTech platform (flagship)

Problem

Build a genuinely adaptive learning platform where the path bends to each learner: difficulty adjusts from live performance signals, mastery is scored rather than assumed, and the system recommends the next-best question instead of serving a static, one-size-fits-all sequence. The hard part is not the course player — it is the closed feedback loop between assessment, a mastery model, and content selection, all of which must agree and stay accurate as a learner progresses. That demands a clean content and enrollment schema underneath, an assessment pipeline that grades reliably, and an ML layer that turns attempts into a defensible estimate of what the learner actually knows.

Stack

Flutter (learner app), Next.js (instructor/admin), Node.js API, Python adaptive-learning ML, PostgreSQL, AWS Mumbai for video and scale

Outcome

A production AI adaptive-learning platform with a working personalisation engine, an assessment pipeline that feeds mastery scores, and analytics that make every adaptive decision observable and tunable. The LMS substrate, the scoring pipeline, and the recommendation loop were built to reinforce one another rather than as disconnected features. It is built and maintained by the same salaried engineering team you hire from — the engineers who designed Alcedo's adaptive engine are on the bench, which is why our edtech claims come with a shipped product behind them.

Read case study

CorporateGate — AI resume builder (assessment & AI patterns)

Problem

Ship an AI-driven resume builder that evaluates user inputs, applies intelligent scoring and targeted suggestions, and produces polished, structured output. Under the hood this is the same class of problem that sits at the heart of adaptive assessment: take messy human input, score it against a rubric with an AI/ML layer, and return structured, actionable feedback that a product can act on automatically and at scale.

Stack

Next.js, Node.js, Python for AI scoring and generation, PostgreSQL, AWS

Outcome

A live AI product that proves our engineers' fluency with scoring pipelines and structured AI feedback. That is precisely the reusable competence that powers adaptive quiz grading, item analysis, and next-best-question recommendation in edtech builds — the muscle we bring straight into a learning-product engagement rather than learning it on your budget.

Read case study

ClaimsMitra — insurance inspection app (offline-first + media capture)

Problem

Build a field app that captures structured media and data reliably in low-connectivity environments and syncs cleanly, without loss or duplication, once the network returns. This is the exact offline-first and media-handling discipline edtech learning apps depend on for downloadable lectures, resumable playback, and usable experiences in Tier-2 and Tier-3 towns where connectivity is intermittent and expensive.

Stack

Flutter, Node.js, PostgreSQL, media capture and offline sync, AWS

Outcome

A production offline-first app that demonstrates the conflict-safe sync and media-reliability patterns our engineers reuse for downloadable lectures and low-bandwidth learning. It is direct evidence that our team can make a learning app work well for the data-conscious, mobile-first learner who is the median edtech user in India — not just on a fast office Wi-Fi connection.

Read case study

Engagement Options

Flexible Hiring Models

Choose the engagement that fits your project size, budget, and timeline.

👨‍💻

Dedicated EdTech Developer

₹1.2L – ₹2.2L / month

$1,400 – $2,600 / month

A full-time, salaried EdTech engineer works exclusively on your product for 160 hours/month. Best for building an LMS, live-class platform, or adaptive-learning app end-to-end.

  • 160 hrs/month, exclusive to you
  • Daily standups & sprint demos
  • 100% IP ownership to you
  • 1-week paid trial
Get Started
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Part-Time EdTech Developer

₹60K – ₹1.1L / month

$700 – $1,300 / month

80 hours per month of senior EdTech development. Perfect for early-stage founders validating a learning-app MVP or adding features to a live platform without a full-time burn.

  • 80 hrs/month
  • Weekly progress demos
  • Flexible scheduling
  • No long-term lock-in
Get Started

Hourly / Project Basis

₹1,500 – ₹2,700 / hour

$18 – $32 / hour

Pay only for hours worked. Great for WebRTC audits, assessment-engine scaling, video-pipeline fixes, or short consulting on an existing edtech codebase.

  • Detailed timesheets
  • No minimum commitment
  • Same-day start when available
  • NDA before scoping
Get Started

Skills & Technologies

Every developer is pre-vetted across these core technologies.

LMS Architecture (SCORM / xAPI)WebRTC Live ClassesAdaptive-Learning MLQuiz & Assessment EnginesAdaptive-Bitrate Video (HLS/DASH)Flutter & DartReact NativeNext.js & Node.jsPython (ML pipelines)PostgreSQLAWS Mumbai (streaming + scale)Razorpay / Stripe & Subscriptions

Our Expertise

We Build For Every Industry

From startups to enterprises, we craft digital solutions tailored to your sector.

EdTech

EdTech

Learning platforms & course apps

Healthcare

Healthcare

Fitness & wellness solutions

Supply Chain

Supply Chain

Logistics & inventory systems

Food & Delivery

Food & Delivery

Restaurant & delivery apps

Beauty & Wellness

Beauty & Wellness

E-commerce & booking platforms

Productivity

Productivity

Task & project management

Why founders pick Xenotix

Why Xenotix Labs for hire edtech app developers in india

Salaried engineers, not freelancers

The edtech engineers you hire are full-time employees of Xenotix Labs — accountable, continuous across your release, and experienced building learning products together, including Alcedo.

NIT & IIT alumni on the team

Our team includes alumni from institutions such as NIT Kurukshetra and IIT Bombay. We name the pedigree honestly and put that engineering depth on hard edtech problems like assessment concurrency and adaptive scoring.

Flagship adaptive-learning proof

Alcedo is a live, production AI adaptive-learning platform we built. When we say we do adaptive learning, LMS, and assessment, there is a shipped product behind the claim — not a slide.

Transparent INR pricing

Dedicated ₹1.2L–₹2.2L/month, hourly ₹1,500–₹2,700, part-time ₹60K–₹1.1L — published rates, never marked up after the introduction call.

Real 48-hour onboarding

Engineers arrive pre-loaded on our LMS, assessment, and adaptive patterns, so your first sprint ships working software. Backed by a 1-week paid trial.

100% IP transfer from day one

Code, design files, and AWS credentials are yours from kickoff, with a mutual NDA signed before any scoping conversation begins.

IST-aligned, full overlap

Full-day overlap for UK, Europe, UAE, and Australia, and 4+ hours evening overlap with the US, from our Modinagar and Noida hubs.

Built for Indian scale conditions

Exam-day concurrency, low-bandwidth live classes, and mobile-first video for data-conscious learners — the specific hard problems Indian edtech rehearses that our engineers have already solved.

Design Process in Figma

Designed in

Figma

How We Work

Our Process

01

Discovery & Strategy

We understand your business goals, target audience, and technical requirements to create a solid foundation.

02

Design & Prototyping

Our designers craft pixel-perfect interfaces in Figma, ensuring every interaction feels intuitive and premium.

03

Development & Testing

Clean, scalable code with rigorous testing to ensure your product performs flawlessly across all devices.

04

Launch & Support

We handle deployment, monitoring, and provide ongoing support to keep your product running smoothly.

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The team behind the work

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Real Data

How Much User Traffic We Are Handling Right Now?

On our clients' apps and sites — real numbers, real dashboards, zero fluff.

Google Search Console — 2M clicks, 108M impressions, 30% CTR
Cloudflare Analytics — 24.65M unique visitors in 30 days
Cloudflare HTTP Traffic — 437K requests, 113.91K visits/day
Global traffic from 154 countries — India, US, Singapore, China
🔍

0M+

Total Clicks

Google Search Console · 3 months

👁️

0M+

Total Impressions

Google Search Console · 3 months

👥

0.00M

Unique Visitors

Cloudflare Analytics · 30 days

📊

0.00K

Daily Visits

Cloudflare · 24 hours

0K+

Requests Served

Cloudflare · 24 hours

🌍

0

Countries Reached

Global traffic distribution

Google Search Console verifiedCloudflare Analytics30% average CTR154 countries served99.9% uptime

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About Our Team.

Video reviews, WhatsApp screenshots, and written testimonials — straight from founders who built with us.

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Common Questions

Frequently Asked Questions

How much does it cost to hire an EdTech developer in India?

A dedicated, salaried EdTech developer at Xenotix costs ₹1,20,000–₹2,20,000 per month ($1,400–$2,600) for full-time 160 hours. Hourly engagements run ₹1,500–₹2,700 per hour and part-time starts at ₹60,000 per month. These are published rates, never marked up after the intro call — roughly 60–70% below an equivalent US hire.

Are your EdTech developers freelancers or full-time employees?

They are salaried, full-time employees of Xenotix Labs, not freelancers from a marketplace. That means real accountability, continuity across your entire release, and a team that has shipped edtech together before — including our flagship Alcedo adaptive-learning platform — rather than a rotating cast of contractors.

Do you really have IIT and NIT alumni on the team?

Yes. Our team includes alumni from institutions such as NIT Kurukshetra and IIT Bombay. We describe the pedigree honestly at the team level rather than inventing individual names, and we deliberately put that depth on the hardest edtech problems — assessment concurrency, adaptive scoring, and real-time live classes.

Is there a free trial before I commit?

Yes. Every dedicated and part-time engagement includes a 1-week paid trial. You work with the actual engineer on real tickets, review the output, and only continue if the fit is right. If it is not, we replace the engineer at no additional cost, so the hiring decision is de-risked upfront.

Do your EdTech developers work in my time zone?

Our engineers are IST-aligned, working from our Modinagar and Noida hubs with full-day overlap for UK, Europe, UAE, and Australia, and a 4+ hour evening overlap with US teams. For dedicated engagements we can shift working hours to align more closely with your business day when live collaboration and daily standups matter most.

Can you build live classes and adaptive learning, not just recorded courses?

Yes — both are core, and so is the recorded-video layer that surrounds them. We ship WebRTC live classrooms with breakout rooms, whiteboard, and recording, plus adaptive-learning engines that personalise difficulty and score mastery. Alcedo, our flagship build, is a production AI adaptive-learning platform, so this is proven competence rather than an experimental add-on we would learn on your budget.

What skills should I look for in an EdTech developer?

Look for LMS and content-model depth (course/enrollment schemas, SCORM/xAPI), real-time competence (WebRTC, SFU routing, degradation handling), assessment concurrency know-how (idempotent, queued submissions for exam-day spikes), adaptive-learning/ML fundamentals in Python, video delivery skills (HLS/DASH, DRM, offline), and cross-platform mobile in Flutter or React Native. Domain empathy for how learners actually behave matters as much as the stack.

How do I write an EdTech developer job description?

Lead with the product surface (LMS, live classes, assessments, or adaptive learning), then list must-have skills: Flutter/React Native, Node.js, Python for ML, WebRTC, PostgreSQL, and video streaming. Specify scale expectations (concurrent test-takers, live-class sizes), IP/NDA terms, engagement model and budget in clear numbers, and time-zone overlap. Include a small real task — like designing a submission-safe quiz flow — to screen for genuine edtech judgement.

What interview questions should I ask an EdTech developer?

Ask how they would keep a quiz submission path from double-counting or dropping under a results-day spike; how they would keep a WebRTC class stable on weak 4G; how they would model a course, enrollment, and mastery schema; how they would design adaptive difficulty so it feels personal, not random; and how they secure premium video against piracy. Strong answers reveal production edtech scars, not just framework familiarity.

How long does it take to hire an EdTech developer through Xenotix?

Onboarding takes 48 hours from finalising the engagement. We handle matching, NDA, repo access, and AWS setup, and because our engineers arrive pre-loaded on our LMS, assessment, and adaptive-learning patterns, your first sprint produces working software rather than architecture debates. The 1-week paid trial then confirms the fit before you scale up.

Which tech stack do you use for EdTech apps, and can I keep my existing one?

We standardise on Flutter/React Native, Next.js, Node.js, and Python (for adaptive-learning ML), with WebRTC for live classes, HLS/DASH video with DRM, PostgreSQL, and AWS Mumbai. If you already have a codebase, our engineers regularly onboard onto existing stacks — we start with a short audit, then work within your architecture rather than forcing a rewrite.

Who owns the IP, and how do you handle data and NDAs?

You own everything from day one — source code, design files, and AWS/Apple/Google credentials — with explicit IP-transfer language in the engagement contract. A mutual NDA is signed before any scoping conversation. We host on AWS Mumbai for in-country data residency and follow secure development practices including code review and branch protection.

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