
Cost of a iOS Native (Swift)
real estate app.
Quick answer: a real estate app built with iOS Native (Swift) 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. Roughly 15–25% above the cross-platform baseline, since there's no shared engineering effort with Android.
I know you want to build a iOS Native (Swift) 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.
Worth it for apps leaning on brand-new Apple platform features on day one, or performance-critical graphics/AR work.
Ask five agencies what a Real Estate App costs on iOS Native (Swift), and you will get five different numbers. That is because they are quietly answering different questions. The honest range: ₹60,000–1.5 lakh for an MVP built to test one core flow with real users, ₹3–6 lakh for a full build with the features real estate app actually needs to keep users around, and ₹12–25 lakh+ once you add enterprise needs like SSO or multi-region setup. iOS only It decides how much of that budget goes into the product itself, versus fixing platform differences. Founders who skip the scoping call and just ask "what does it cost" tend to get quoted for whichever tier the agency wants to sell.
Worth it for apps leaning on brand-new Apple platform features on day one, or performance-critical graphics/AR work. That is the general case for iOS Native (Swift). 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
Every real estate app has a few features that look similar on paper but cost very differently to build. Almost every time, here is where that gap comes from: Map-search complexity and whether virtual tours/AR walkthroughs are included. It is easy to miss in early conversations, because it does not sound like a technical detail, it sounds like a business detail. But details like this turn directly into extra design work, edge cases, and testing. A team that scopes real estate app without asking hard questions about this early will either underquote and cut corners later, or find out mid-build that the simple version they priced does not match what the business actually needs.
How We Scope And Build It
There is a real difference between studios that scope a Real Estate App properly and ones that just estimate it. The good ones run a founder workshop before writing a proposal, digging into edge cases and integrations that never show up in an early feature list. That output becomes the sprint plan for the iOS Native (Swift) build, split into short cycles that each end in something you can actually demo, a working screen, not a progress report. Weekly demos are not a courtesy. They force both sides to face gaps between the plan and reality every week, not at the end. A senior engineer should own the architecture decisions in the first few sprints, since those choices are the hardest to reverse later.
Startup Speed.
Enterprise Grade.
One studio. Your Vision.
Full-stack pod, embedded in your team
Designers, engineers, and product thinkers, all speaking your language from day one.
Zero hand-holding, maximum ownership
We take the brief and run. You get weekly demos and working software, not status updates.
Design & engineering, no silos
One team thinks in pixels and code simultaneously. Faster decisions, zero handoff friction.
Async-first, timezone-resilient delivery
Our delivery structure keeps your product moving, regardless of where your team is.
Proven from seed stage to Series C
We've shipped MVPs in 6 weeks and rebuilt platforms for thousands of enterprise users.

Realistic Timeline
For a Real Estate App on iOS Native (Swift), expect roughly 6 to 10 weeks for an MVP that proves out the core flow, 12 to 20 weeks for a mid-complexity build with the supporting features that make it launch-ready, and 20 to 36-plus weeks once you are at enterprise scale. Three things reliably push timelines toward the higher end. The number of platforms you are shipping to at once, since iOS only either helps or hurts that cost depending on the stack. How much custom backend logic the product needs versus how much can lean on ready-made services. And any compliance requirement, like data residency or industry rules, that adds review cycles on top of the engineering work.
Technical Tradeoffs Worth Knowing
A few technical trade-offs come up reliably when building real estate app on iOS Native (Swift), 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
Before accepting a quote for a Real Estate App on iOS Native (Swift) that is meaningfully cheaper than the others, it is worth asking what specifically was cut to hit that number, because something always was. The usual suspects, in order of how often they get trimmed: QA across the real range of devices your users will have, rather than just the one the team tested on. Post-launch support, often reduced to an informal "we will handle bugs" with no real commitment. And senior engineering involvement, replaced by a junior-heavy team with limited oversight. Each of these is invisible at handoff and expensive within the first year, in the form of crashes and a support burden nobody planned for.
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.
AI-Powered
Apps That Think Faster

We embed AI natively, not as a feature, but as the foundation your product is built on.

AI is not a feature we add at the end, it's the foundation we build from. Every MojoStudios product is designed to be intelligent, adaptive, and faster than what your competitors can ship.
THIS MEANS
- Smarter apps that learn from users
- Reduced manual workflows by 80%+
- Competitive moat that grows over time
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+. Roughly 15–25% above the cross-platform baseline, since there's no shared engineering effort with Android.
Tech Capabilities Powering Our Solutions
Built on proven frameworks, modern stacks, and tools trusted by global teams
