Mobile
Flutter
Build Android and iOS apps from one shared codebase, so you launch on both platforms faster with a consistent experience.
Used for
- Mobile apps
- Delivery apps
- E-commerce apps
- Booking apps
Education
EdTech software development
An engineering team for EdTech companies building learning apps, test-prep platforms and AI-assisted learning products that need to scale.
At a glance
The short version
- What we build
- How it works
- Learner app
- Video player
- Practice engine
- AI assistant
- 2 more
- Runs on
- Android
- iOS
- Web app
- PWA
- Admin
- Built with
- and 2 more tools
- Who it's for
We work with EdTech founders and product teams on the engineering behind learning products: video delivery with DRM, live classes, question banks with maths rendering, adaptive practice, subscriptions, and AI study help with guardrails. We build MVPs or join an existing product as an extension of your team.
- Cost depends on
- Content protection
- Live versus recorded
- AI features
Flutter and the related logo are trademarks of Google LLC. We are not endorsed by or affiliated with Google LLC.
How to start
Tell us what you need in your own words. You talk to the developers who would build it and get a written, line-item estimate.
Get a project estimateProduct engineering for learning companies
EdTech companies compete on the learning experience, but often stumble on engineering: video that buffers on a small-town 4G connection, live classes that fail during exam season, content piracy, and subscription billing that does not match how Indian families pay.
We build the platform so your team can focus on pedagogy and content. That covers content pipelines, assessment engines, adaptive practice, analytics, and AI features that help learners without pretending to be a teacher. It suits test-prep, K-12, language and skills products at MVP or growth stage.
Challenges
Engineering problems EdTech teams face
Video on patchy networks
Learners in tier-2 and tier-3 towns need adaptive streaming and offline downloads that still respect DRM.
Content piracy
Paid courses leak through screen recording and shared logins unless the app is designed against it.
Assessment at scale
Mock tests with thousands of simultaneous submissions and instant rank lists stress weak backends.
Retention after purchase
Learners stall after week one without nudges, streaks and meaningful progress signals.
Solutions
Solutions for EdTech products
Across 3 areas
Course platforms with protected video, live classes, assessments, certificates and payments, designed for multilingual content and learners on low bandwidth.
Features that generate catalogue copy, reports, summaries, translations and images, with brand controls and a review step before anything is published.
Product, content and offer recommendations built from your behavioural data, with business rules, cold-start handling and A/B testing.
Subscription stores and memberships on UPI AutoPay, card mandates and eNACH, with pause, skip and swap controls and fulfilment planning.
Multi-tenant SaaS products with AI at their core, built with tenant isolation, usage metering, model routing, evaluation and subscription billing.
EdTech capabilities we implement
Secure video delivery
HLS streaming with Widevine and FairPlay DRM, watermarking, offline downloads and device limits.
Live classes
Sessions through video APIs, with chat, polls, raise-hand and recordings published afterwards.
Question bank and test engine
LaTeX maths, multilingual questions, timed tests, negative marking and percentile reports.
Adaptive practice
Topic mastery tracking that picks the next question set from each learner's recent answers.
AI study help
Explanations grounded in your own content, with guardrails and teacher review of flagged answers.
How it works
How a learner moves through a test-prep app
- Learner app
Step 1: Learner picks a goal
The learner chooses an exam and a target date, and a short diagnostic test sets the starting level.
- Learner app
Step 2: Subscribes and pays
The learner buys a monthly or yearly plan with UPI or a card, and renewals run on a mandate so access does not lapse mid-preparation.
- Video player
Step 3: Watches protected lessons
Lessons stream at whatever quality the network allows, downloads stay encrypted, and a watermark discourages sharing.
- Practice engine
Step 4: Practises adaptive question sets
Each new set is picked from recent answers, so time goes to weak topics rather than questions the learner already gets right.
- AI assistant
Step 5: Asks the AI study helper
Explanations come from your own chapters, and any answer a learner flags goes to a teacher for review.
- Test engine
Step 6: Sits a mock test and sees a rank
Thousands of learners submit together and see percentile and topic-wise analysis within minutes.
- Admin dashboard
Step 7: Content team improves from the data
Drop-off points, weak topics and flagged answers show the academic team what to fix next.
Platforms
Where learners use EdTech products
- Mobile
Android app
Apps for Android phones and tablets, tested on budget and mid-range devices and published on Google Play or privately.
- Mobile
iOS app
Apps for iPhone and iPad, built to Apple's guidelines and released through TestFlight and the App Store.
- Web
Web application
Browser-based applications with logins, roles and workflows, such as customer portals, SaaS products and internal tools.
- Web
Progressive web app
Installable web apps with offline support and notifications, useful when an app-store listing isn't essential or phones have little storage.
- Back office
Admin dashboard
Back-office panels for operations, support and finance teams: orders, users, content, reports and permissions.
Technology
EdTech engineering stack
Flutter or React Native delivers one learner app for Android and iOS, video delivery built on AWS copes with exam-season peaks, and OpenAI models answer through retrieval so explanations stay tied to your syllabus.
Mobile
React Native
Build Android and iOS apps in the same language as a React website, so one team can share code and skills across web and mobile.
Used for
- Mobile apps
- Shopping apps
- Staff and field apps
- Mobile apps for SaaS
Web
Next.js
A modern web technology for fast, search-friendly websites, online stores and web applications that load quickly on mobile.
Used for
- Business websites
- Online stores
- Web apps
- Customer portals
Backend
Node.js
Runs the server side of apps: fast, scalable back ends that power your app, website and integrations.
Used for
- App back ends
- Live order tracking
- Chat and notifications
- Payment processing
Backend
Python
A programming language for AI features, data processing and automation: the engine behind document reading, reports and smart search.
Used for
- AI features
- Document reading
- Reports and analytics
- Task automation
Adds AI features such as chat assistants, document summaries and smart search to your product, built on OpenAI models with human review.
Used for
- AI chatbots
- Document summaries
- Smart search
- Drafting replies
Cloud & DevOps
AWS
Cloud hosting for your app, website and data, with data centres in India and room to grow when traffic rises.
Used for
- App hosting
- File and photo storage
- Backups
- Busy sale days
Data
Redis
Keeps frequently used data in fast memory, so apps stay quick on busy days and live features like order tracking feel instant.
Used for
- Faster apps
- Live order status
- Shopping carts
- Job queues and alerts
Flutter and the related logo are trademarks of Google LLC. We are not endorsed by or affiliated with Google LLC.
Plain-English glossary
EdTech engineering terms, simplified
- DRM
- Digital rights management: encryption that lets a paid video play only inside your app on an authorised device. It makes casual screen recording and file sharing much harder, which protects course revenue.
- Adaptive streaming (HLS)
- Video cut into small pieces at several qualities, so the player switches smoothly as the network changes. Learners on patchy mobile data keep watching instead of waiting for buffering.
- Retrieval-augmented generation (RAG)
- The AI first looks up relevant passages in your notes and question banks, then answers from them. Explanations stay consistent with how your teachers teach instead of drawing on random internet text.
- Evaluation set
- A fixed list of questions with approved answers used to test the AI before and after every change. It shows whether the study helper is getting more accurate or less, before learners notice.
Product preview
Learner screens and the content console
Learner app. The study helper answers from your own chapters and points learners back to the lesson, and teachers review any answer a learner marks as wrong. 
Learner app. After each mock, learners see their rank, percentile and the topics costing them marks, which gives them a reason to come back and practise. 
Content console. The content team sees where learners give up and which AI answers were flagged, so fixes go where they help retention most.
Illustrative preview
Sample screens: names, prices and figures are examples, not client data.
Cost drivers
What moves an EdTech build's budget
Content protection
DRM, watermarking and device binding add licence costs and engineering over plain streaming.
Live versus recorded
Real-time classes add video infrastructure, moderation tools and scale testing.
AI features
Retrieval over your content, evaluation sets and review workflows need data preparation and ongoing tuning.
Estimates are written from your scope, with the effort and assumptions behind each line item.
How pricing worksServices
Services for this industry
The design and engineering services our in-house team combines on projects in this sector.
Mobile app development
Native and cross-platform Android and iOS apps, from first release through regular store updates, built by our in-house designers and engineers.
Web application development
Browser-based products, customer portals, dashboards and internal tools, built on clean data models with secure roles and integrations.
SaaS development
Multi-tenant SaaS products with subscription billing, team roles, onboarding and usage analytics, from first MVP to paying customers.
AI app development
AI features and AI-first apps built on model APIs, retrieval over your own data, workflow automation or custom ML, with evaluation and human review.
Flutter development
Android and iOS apps from one Dart codebase, built by engineers who know when Flutter is the right call and when native code is needed.
UI/UX design
Product design for web and mobile apps: research, user flows, wireframes, prototypes and design systems that engineers can build from.
FAQ
Frequently asked questions
Can you stop learners from recording or sharing paid videos?
You can make it much harder, not impossible. DRM — Widevine on Android and Chrome, FairPlay on Apple devices — blocks casual screen recording on most devices and encrypts downloads so they only play inside your app. Dynamic watermarks with the learner's phone number discourage sharing, and device limits stop one login serving a group. Someone can still film a screen with another phone, so we pair these controls with monitoring for unusual account activity.
How do you build AI tutoring features responsibly?
We ground the assistant in your curated content using retrieval, so answers draw on your chapters rather than general internet text, and restrict it to learning topics. Maths and science responses are tested against an evaluation set built with your academic team before launch. Learners can flag wrong answers for teacher review, and interactions are logged for quality checks. For minors, we collect only necessary data and never use it for targeted advertising.
Can you take over development of our existing EdTech app?
Yes. We start with a short audit of architecture, tests, dependencies, cloud costs and known bugs, and share findings before committing to a roadmap. Then we either stabilise the codebase or plan a staged rewrite of the parts blocking growth. We need repository access, cloud credentials and ideally time with previous developers. Handover risks, such as undocumented integrations, are listed openly so you can plan around them.
Next step
Building or scaling a learning product?
Tell us about your learners, content formats and current stack. We will suggest where engineering effort pays off first.