For Bengaluru edtech founders & institutes

Edtech App Development Company in Bangalore

We build learning products for Bengaluru edtech founders — LMS platforms, live class apps, quiz and assessment engines, and adaptive learning driven by real ML, not a chatbot bolted onto a course list. Our AI edtech platform Alcedo runs adaptive learning paths in production today. Founder-led engineering, transparent INR pricing, weekly demos on your Slack.

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Team Backed by NITians & IITians

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An edtech app development partner for Bangalore founders — adaptive learning shipped, honest about where the classroom ends

Bengaluru is India's edtech engine room. The category's biggest names grew up here, and the next wave is being built right now in coworking floors around Koramangala and HSR Layout, in tutoring startups near Indiranagar, and inside upskilling platforms out toward Whitefield and Electronic City. The founders we speak to are not chasing a spot on a 'top edtech developers' listicle; they are trying to hold learner attention past week one, prove a completion or outcome metric to a board, and ship before the academic intake or a fresh funding round. The head term 'edtech app development company bangalore' is thick with directories. Xenotix competes on something a directory cannot fake: Alcedo, an AI adaptive-learning platform already live, plus 110+ production apps and founder-led engineers who understand what actually keeps a learner coming back.

We will be straight about geography, because Bengaluru founders hear a lot of location theatre. Xenotix has no office in Bengaluru. Our engineering HQ is in Modinagar (Uttar Pradesh), our sales office is in Noida, and we serve Bangalore edtech teams fully remotely — same IST school-day hours, weekly demos, a shared Slack, and senior engineers on your product instead of a local account handler. What a local address buys you is a shorter drive; what we bring is a team that has already put adaptive learning, live-class infrastructure and assessment engines in front of real learners. For a founder weighing where scarce build budget goes, a learning product that already holds retention is worth more than a pin near Ecoworld.

Alcedo is the reference point we keep coming back to, and it is worth being precise about why. It is an AI edtech platform that runs adaptive learning paths in production — the system reads how a learner performs and reshapes the sequence, difficulty and content they see next, rather than serving every student the same linear playlist. That is built on Python/ML pipelines we own end to end, not a thin wrapper around a public LLM that breaks the moment usage climbs. When a Bengaluru founder says 'we want AI in the product', this is the difference between a demo that impresses an investor for ten minutes and a system that measurably improves retention and mastery over a term.

Transparent cost is the part Bengaluru edtech founders remember longest, because most of them are spending investor money against a runway clock. A focused MVP — an LMS with a course player, video lessons and quizzes — sits at ₹4-12L; a multi-feature platform with live classes, an assessment engine, cohorts and analytics at ₹12-35L; a full learning suite with adaptive AI, gamification and admin tooling at ₹35-60L+. Every quote lands as a feature-by-feature breakdown with a rupee figure against each line, and each sprint ends with a working course player, live-class flow or quiz engine you can click through yourself. You judge the spend on running software in a review, never on a lump-sum invoice you have to take on faith.

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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 edtech app development company in bangalore

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

LMS & Course Platform

A learning management system built around your pedagogy, not a rigid template: course and module authoring, video and document lessons, progress tracking, certificates, drip scheduling, and instructor and admin dashboards. Content, enrolments and completion data sit in a clean model you own, so you can slice retention and drop-off analytics later instead of fighting a black-box platform you have to rent forever.

Use cases: A K-12 course library, a professional upskilling catalogue, a coaching institute moving offline batches online, a university department's blended-learning portal

Shipped on: Alcedo, our AI edtech platform, runs structured learning content and progression in production — the course, module and progress-tracking backbone an LMS reuses directly.

Live Classes & Virtual Classroom

The synchronous layer around a specialist WebRTC video provider: scheduled and instant sessions, attendance capture, whiteboards, breakout groups, in-class chat and polls, recordings, and post-class quizzes wired to the same gradebook. We engineer for the 6 PM spike when an entire Bengaluru cohort joins at once — presence, reconnection and message ordering that hold up under concurrent load rather than a happy-path demo that stalls at scale.

Use cases: Live doubt-solving sessions, cohort-based bootcamps, one-to-many masterclasses, small-group tutoring, exam-prep live batches

Shipped on: Cricket Winner sustains sub-second WebSocket sync at live IPL scale to millions — the same real-time concurrency engineering a packed live-class session demands (cross-domain from sports to edtech, identical backbone).

Adaptive Learning & AI Tutoring

Personalised paths driven by real ML: the system reads a learner's answers and pace, then reshapes difficulty, sequence and recommended content per student, with AI-assisted hints and explanations layered on. This is our sharpest differentiator versus a generalist agency — adaptive logic and LLM features engineered into the product for measurable mastery gains, not a chatbot pinned to the corner of a static course page.

Use cases: Adaptive test prep, mastery-based K-12 learning, skill-gap-driven upskilling, personalised revision, AI explanation and hint layers on quizzes

Shipped on: Alcedo runs AI adaptive-learning paths in production today — the exact personalise-and-reshape engine this describes, built on Python/ML pipelines we own, not a public-LLM wrapper.

Quiz, Test & Assessment Engine

A flexible assessment layer: question banks, multiple question types, timed tests, randomised sets, auto-grading, negative marking, section logic, proctoring hooks and instant score analytics. It plugs into progress tracking and adaptive logic so a wrong answer does more than dock a mark — it informs what the learner practises next and surfaces cohort-level weak spots for the instructor to act on.

Use cases: Mock exams and JEE/NEET-style test series, chapter-end quizzes, certification assessments, diagnostic tests that seed an adaptive path, live in-class polls

Shipped on: ClaimsMitra's 114+ REST endpoints and structured field-data capture prove we build rigorous, stateful, data-heavy backends — the same scoring, state and integrity discipline a serious assessment engine needs (cross-domain: insurtech to edtech).

Learner Engagement & Analytics

The retention layer edtech lives or dies on: streaks, badges, leaderboards and gamification, push and reminder nudges, parent or manager progress views, and a learning-analytics dashboard exposing completion, drop-off, time-on-task and cohort performance. You own this data model, so the metrics your board cares about — activation, week-one retention, course completion — are queryable, not trapped inside someone else's platform.

Use cases: Streak-and-badge gamification, parent progress dashboards, corporate L&D reporting, drop-off analysis, re-engagement notification campaigns

Shipped on: Veda Milk's connected customer, delivery-partner and admin apps show we build multi-role systems with consistent, queryable state and dashboards — the same analytics and multi-role discipline an edtech admin and parent view require.

Tech stack reasoning

Why our stack fits Bangalore edtech

Learner apps ship on Flutter by default (70+ live) with React Native as the alternative (8 live), because a lean Bengaluru edtech team can serve iOS and Android from a single codebase — critical when students arrive on every price of Android device and a mid-range phone is the norm. We tune for offline-friendly lessons, downloadable content and smooth video playback on patchy networks, since a learner on a Whitefield commute or a small-town connection should not lose their place. Which framework we pick follows your hiring roadmap and content strategy, not our convenience, and store-review and staged-rollout experience is already priced in.

The synchronous and real-time surfaces are where an edtech build gets hard, so we lean on infrastructure we have already proven under load. Live classes ride a specialist WebRTC provider for video, with our own layer for presence, chat, whiteboards and reconnection on WebSockets. The durability that gave Cricket Winner — sub-second, ordered event delivery to a huge live audience without dropping messages under a spiky match-day surge — is exactly the property a live class needs when an entire cohort logs in at once. Kafka and RabbitMQ carry the asynchronous work: grading jobs, notification fan-out, analytics events and adaptive-path recomputation that should never block the learner's screen.

The backend runs on Node.js and Next.js over PostgreSQL for the structured core — enrolments, gradebooks, progression and assessment results, where relational integrity actually matters — with MongoDB for flexible content and high-volume event data. Adaptive learning and AI tutoring run on Python/ML pipelines, the same discipline behind Alcedo's live adaptive paths and ClaimsMitra's computer-vision work, integrated into the product rather than treated as a demo widget. Everything sits on AWS ap-south-1 (Mumbai), keeping student data resident in India and latency low for Bengaluru and pan-India learners. This is the same stack running our production apps today — your platform is not a testbed for something we have never operated.

Pricing & timeline

How much does edtech app development company in bangalore cost?

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

Edtech MVP (LMS core)

Rs 4L - 12L

$5k - $14.5k

Timeline8-14 weeks
Team2-3 (1-2 engineers + design + PM oversight)
ScopeOne learning loop shipped end-to-end: course player, video lessons, quizzes, progress tracking, auth and a basic admin; single platform to start, weekly demos
Best forPre-seed and seed Bangalore edtech founders validating a course or content model before building the full platform

Growth / Multi-feature Platform

Rs 12L - 35L

$14.5k - $42k

Timeline3-5 months
Team3-5 (engineers + design + QA + PM)
ScopeLive classes, full assessment engine, cohorts, gamification and analytics dashboards, both iOS and Android, instructor and admin tooling, notification system
Best forFunded Bengaluru edtech teams scaling a v2 with real learners, live cohorts and retention targets

Adaptive Learning Suite

Rs 35L - 60L+

$42k - $72k+

Timeline5-9 months
Team5-8 (full pod + ML engineer + DevOps)
ScopeFull suite with adaptive AI paths, AI tutoring, real-time live classes at scale (WebRTC + WebSockets), deep learning analytics, multi-role apps and high-scale infra
Best forSeries-A Bangalore edtech companies building a personalised, AI-native learning platform at scale

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 edtech app development company in bangalore engagement below is live, in production, and serving real users today.

Alcedo — AI adaptive-learning platform

Problem

An edtech product needed to move past a one-size-fits-all course playlist and actually personalise what each learner sees next based on how they perform — adaptive learning that works in production, not a slide.

Stack

Flutter, Node.js, Python/ML for adaptive logic, PostgreSQL, AWS (ap-south-1 Mumbai)

Outcome

A live AI edtech platform running adaptive learning paths — the personalise-and-reshape engine directly reusable for any Bengaluru adaptive-learning, test-prep or mastery-based product.

Read case study

Cricket Winner — real-time at cohort scale

Problem

A Dubai real-time cricket platform needed sub-second, ordered live updates delivered to millions of concurrent fans without dropping events under spiky match-day load.

Stack

Flutter, Next.js, Node.js, MongoDB, WebSockets, Kafka, AWS (ap-south-1 Mumbai)

Outcome

A production platform holding sub-second sync at live IPL scale — proof of the exact real-time concurrency backbone a packed live-class session needs when a whole cohort joins at once (cross-domain: sports to edtech, same engineering).

Read case study

ClaimsMitra — rigorous data-heavy backend

Problem

An insurance survey and inspection platform needed a hardened backend that could run structured workflows, capture and score field data, and stay consistent at scale across many endpoints.

Stack

Flutter, Node.js, PostgreSQL, 114+ REST endpoints, computer-vision capture, geo-fencing, AWS

Outcome

A production backend of 114+ REST endpoints with structured, stateful, audit-friendly workflows — evidence of the scoring, state and data rigor a serious assessment and analytics engine needs (cross-domain: insurtech to edtech).

Read case study

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

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Healthcare

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Supply Chain

Logistics & inventory systems

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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 edtech app development company in bangalore

Personalised learning paths already in production

Alcedo runs AI adaptive-learning paths for real students today, reading each learner's performance and reshaping difficulty and sequence on Python/ML pipelines we own. You inherit a team that has already tuned personalisation against live retention data, not one wiring a public-LLM chatbot to a course list for the first time on your budget.

Virtual classrooms that survive the 6 PM rush

Live video sits on a specialist WebRTC provider, wrapped in our own presence, chat, whiteboard and reconnection layer on WebSockets — the same concurrency backbone that keeps Cricket Winner sub-second at IPL scale. When a whole Bengaluru cohort logs in at once for a live batch, the room stays synced instead of buckling under the join spike.

Exam-grade assessment, not a throwaway quiz widget

Question banks, timed and randomised sets, negative marking, auto-grading, section logic, proctoring hooks and score analytics — all wired into progress tracking so a wrong answer reshapes what the learner practises next. ClaimsMitra's 114+ endpoint backend is our evidence for the stateful, audit-friendly rigor a test-series or certification engine has to hold at scale.

Gradebook and learner analytics you can actually query

Completion, drop-off, time-on-task and cohort mastery live in a content and enrolment model you own outright, not a rented LMS. The activation, week-one retention and course-completion numbers your Bengaluru board asks for are queryable from day one, never locked behind a vendor dashboard you keep paying to read your own data.

INR pricing that maps to your roadmap

Edtech MVP Rs 4-12L, multi-feature platform Rs 12-35L, adaptive suite Rs 35-60L+ — and every quote arrives itemised feature by feature, from the course player to the live-class layer to the adaptive engine. You can trim or keep each line against your runway, with no round-number estimate you cannot interrogate and no discovery-phase charge appearing later.

Remote-first delivery on your school-day clock

There is no Bengaluru desk in the picture — we deliver from our Modinagar engineering HQ and Noida sales office on IST school-day hours, with a weekly live product demo, an open Slack channel and full IP ownership from the first commit. When a kickoff genuinely warrants it, we travel to Bengaluru to meet your team in person.

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How We Work

Our Process

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Discovery & Strategy

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

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Design & Prototyping

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

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Development & Testing

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

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Launch & Support

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

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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
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0M+

Total Clicks

Google Search Console · 3 months

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0M+

Total Impressions

Google Search Console · 3 months

👥

0.00M

Unique Visitors

Cloudflare Analytics · 30 days

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0.00K

Daily Visits

Cloudflare · 24 hours

0K+

Requests Served

Cloudflare · 24 hours

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0

Countries Reached

Global traffic distribution

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

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Common Questions

Frequently Asked Questions

Can you build genuine adaptive learning, or just a static course app?

Genuine adaptive learning. Alcedo, our AI edtech platform, runs adaptive paths in production — it reads a learner's performance and reshapes difficulty, sequence and content per student. It is built on Python/ML pipelines we own, not a wrapper around a public LLM. For a Bengaluru founder, that is a working system to demo to investors, not a concept slide.

How do you handle live classes for a large Bangalore cohort?

We integrate live video through a specialist WebRTC provider and build the classroom layer ourselves — attendance, whiteboards, breakout groups, chat, recordings and post-class quizzes. The concurrency backbone is proven: Cricket Winner holds sub-second WebSocket sync at live IPL scale, the same engineering a full cohort logging in at 6 PM needs, so the room does not stall under the spike.

How much does it cost to build an edtech app in Bangalore?

In INR: a focused MVP — LMS with a course player and quizzes — runs Rs 4-12L; a multi-feature platform with live classes, an assessment engine and analytics Rs 12-35L; a full suite with adaptive AI Rs 35-60L+. Every quote is itemised feature by feature before you sign, so there is no round-number guesswork and no discovery-phase invoice arriving on you later.

Can you build a full LMS with instructor and admin dashboards?

Yes. Course and module authoring, video and document lessons, drip scheduling, certificates, progress tracking, and instructor and admin dashboards — all around a content and enrolment model you own. Alcedo already runs structured learning content and progression in production, so the course, module and progress-tracking backbone an LMS needs is proven, not experimental.

Do you build a proper quiz and assessment engine?

Yes. Question banks, multiple question types, timed and randomised tests, auto-grading, negative marking, section logic, proctoring hooks and instant score analytics — wired into progress tracking and adaptive logic so a wrong answer informs what a learner practises next. ClaimsMitra's 114+ endpoint, data-heavy backend shows the state and scoring rigor this needs to stay reliable at scale.

Will the app work on cheap Android phones and patchy networks?

Yes — that is a design constraint from the start, not an afterthought. We build on Flutter for smooth performance across every price of Android device, tune video and content for low-bandwidth playback, and support downloadable lessons so a learner on a Bengaluru commute or a weak connection does not lose their place. Most Indian learners are on mid-range phones, and we engineer for exactly that.

Do you have an edtech office in Bangalore?

No — there is no Xenotix classroom or desk in Bengaluru, and we would rather tell you plainly than dress up a local address. Engineering runs from our Modinagar (UP) HQ and sales from our Noida office, and Bengaluru edtech accounts are delivered fully remotely: IST school-day hours, a live product walkthrough each week, a dedicated Slack channel, and senior engineers hands-on with your build. Founders here back teams that have already shipped adaptive learning to real students over teams that merely sit nearby — and when a kickoff earns it, we fly down to Bengaluru in person.

Who owns the platform, content model and learner data?

You do, completely, from the first commit. All source code, the content and enrolment models, the analytics layer and infrastructure credentials are yours under an explicit IP-transfer clause, with a mutual NDA before scoping. That matters when a Bengaluru VC runs technical diligence, and it means your learner data and metrics are queryable by you, never trapped inside a platform you have to keep renting.

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