Cost of a Android Native (Kotlin)
real estate app.
Quick answer: a real estate app built with Android Native (Kotlin) costs ₹60,000–1.5 lakh for an MVP, ₹3–6 lakh for a mid-complexity build, and ₹12–25 lakh+ for an enterprise version. Close to the cross-platform baseline for a single platform, but device-fragmentation testing (screen sizes, OS versions, manufacturer skins) adds real QA time.
I know you want to build a Android Native (Kotlin) real estate app.
There are 10 lakh+ agencies, 5 crore+ vibe coders, and 1 crore+ developers out there right now. You found this page anyway. That's not an accident, we're still the best of all of them at what we do.
We're Sachin and Arjav. We started this studio together, and we still personally work on every project that comes in. When you reach out, it's one of us who replies, not a support team. And we'll say it straight: bring us your toughest deadline or the idea three other agencies said no to, that's exactly where we do our best work. We're Indian founders too, so don't stress about the budget upfront, tell us what you've got on a call and we'll figure out what fits.
Forget the price tag for a second.
Tell me your actual budget, not what you think you're supposed to say, and I'll tell you honestly what we can build in it. No stretch quote, no upsell.
Map-search complexity and whether virtual tours/AR walkthroughs are included.
A reasonable choice if you're launching Android-only first in an Android-dominant market like India, with iOS planned later.
For a Real Estate App built on Android Native (Kotlin), the numbers break into three honest tiers. ₹60,000–1.5 lakh gets you a working MVP that proves the core idea. ₹3–6 lakh once you add the features that make it genuinely usable at scale. ₹12–25 lakh+ once compliance, integrations, and uptime guarantees become part of the deal. Android only It changes how much engineering time goes into the plumbing versus the actual features. Most founders make the mistake of anchoring on one number from a competitor's website, without knowing which tier that number describes. The real work happens before the first sprint, when the tier and its limits get written down.
A reasonable choice if you're launching Android-only first in an Android-dominant market like India, with iOS planned later. That is the general case for Android Native (Kotlin). The more useful question is whether it holds for a Real Estate App specifically, and mostly it does. Categories differ a lot in how much they depend on deep platform integration versus staying consistent across devices, and that difference should drive the stack decision more than habit or hype. For this category, the balance tips toward strengths this stack is genuinely good at, which is why experienced teams keep choosing it here. It is worth checking this reasoning against your own feature list rather than accepting it blindly. A studio that has shipped this category before should point to specific features where the stack choice actually mattered.
What Actually Drives The Price
There is a pattern in how real estate app projects go over budget, and it almost always traces back to this being underestimated at the start: Map-search complexity and whether virtual tours/AR walkthroughs are included. It rarely looks like a red flag early on. It gets mentioned in passing, treated as a small detail to figure out later. But it has a big effect on the real engineering work, because it touches data design, integrations, and testing all at once. A useful check: if a proposal does not talk about this with real specifics, it is not really scoped yet, no matter how detailed the feature list looks.
How We Scope And Build It
Scoping a Real Estate App well on Android Native (Kotlin) is not about writing a longer document. It is about running a founder workshop that surfaces the assumptions a written spec always misses: which flows are actually core, which integrations are must-haves, and where the real complexity actually lives. That workshop should directly shape the sprint plan, with each sprint ending in a demo you can click through and react to. Feedback on a working screen is worth more than feedback on a wireframe, every time. A senior engineer should be on the architecture from sprint one, because the decisions made in those first weeks are painful to change later.
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Realistic Timeline
A realistic timeline for a Real Estate App on Android Native (Kotlin) looks like 6 to 10 weeks for an MVP, 12 to 20 weeks for a full mid-complexity build, and 20 to 36-plus weeks at enterprise scale. The gap between these tiers is almost never about UI work, which is usually the fastest part of the build. It is backend complexity, integration depth, and compliance requirements that actually eat the calendar. Platform count matters too. Android only decides how much of the engineering work is genuinely shared versus redone per platform, and that shows up directly in the schedule.
Technical Tradeoffs Worth Knowing
A few technical trade-offs come up reliably when building real estate app on Android Native (Kotlin), and each one deserves a real decision, not a default. How the app manages state across screens that need to stay in sync, especially anywhere data changes in near real time, affects how bug-prone the app feels months after launch. Whether the product needs to work well offline, or can mostly assume a connection, changes how the data layer gets built from day one. And there is the recurring question of native device access. Some features genuinely need it. Others only feel like they do. Getting this wrong either slows development or leaves the app feeling off on one platform.
The Risk Of Going Cheap
When a quote for a Real Estate App on Android Native (Kotlin) comes in far below everyone else's, that gap almost never means the cheaper studio found a smarter way to build the same thing. It means something got quietly cut, usually one of three things. QA across every target platform is the first casualty, invisible in a demo but visible in bad reviews after launch. Post-launch support is the second, a build handed off with no real plan for bug fixes or updates. The third is senior oversight on architecture decisions, replaced by junior developers with no one senior enough to catch a bad pattern before it spreads across forty screens.
Here is the thing about every number on this page. It is honest, and it is still not your number. Your number depends on this: Map-search complexity and whether virtual tours/AR walkthroughs are included. It also depends on what you are building on top of versus from scratch, and on decisions only you can make. We would love to help you make them. Reach out, it costs nothing, and even if you build with someone else, you will leave the call knowing more than you do right now.
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An MVP typically costs ₹60,000–1.5 lakh, a mid-complexity build runs ₹3–6 lakh, and an enterprise-grade version costs ₹12–25 lakh+. Close to the cross-platform baseline for a single platform, but device-fragmentation testing (screen sizes, OS versions, manufacturer skins) adds real QA time.
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