Development
App Maintenance and Support: The Technical Guide for 2026
App Maintenance and Support: The Technical Guide for 2026
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
App Maintenance and Support: What Actually Breaks After Launch and How to Stay Ahead of It
500+ products delivered means 500+ products that kept running after launch day. The pattern Neon Apps observes consistently is that teams who treat maintenance as an afterthought face the same class of incidents on a predictable schedule: a major iOS release breaks a critical user flow, a third party SDK update conflicts with existing code, a slow memory leak compounds over months into a crash loop. This guide covers the five types of app maintenance, the specific technical failure modes that cause most post launch incidents, how to structure a maintenance budget, and when to bring in a dedicated support team.
What App Maintenance and Support Actually Covers
App Maintenance and Support: The ongoing set of technical activities required to keep a deployed application stable, secure, compatible with platform updates, and aligned with user expectations after its initial launch. It spans corrective, preventive, adaptive, and perfective work across the full application stack.
This is not a monthly checklist or a break fix contract. Maintenance is a continuous technical engagement. The codebase a product ships with on day one is already aging: dependencies are being updated by their maintainers, Apple and Google are preparing the next major OS release, third-party APIs are deprecating endpoints, and usage patterns are generating data that reveals performance bottlenecks invisible during development.
A well run maintenance program addresses all of this before it becomes visible to users. A reactive only approach addresses it after an incident report arrives, which is always more expensive and more damaging to retention.
The Five Types of App Maintenance
Understanding the five maintenance types helps teams allocate budget correctly and set accurate expectations for what a support retainer actually covers.
Corrective maintenance. Fixing defects discovered after launch: crashes, incorrect behavior, broken user flows, failed API calls. Corrective work is reactive by nature. Its frequency and cost are largely determined by the quality of the pre-launch testing process. Products that shipped with comprehensive test coverage generate significantly fewer corrective tickets in the first six months.
Preventive maintenance. Refactoring code, resolving technical debt, updating dependencies before they become incompatible, and improving system stability proactively. Preventive work is the most commonly deferred category and the one that creates the largest compounding cost when skipped. A dependency that was one version behind at launch is typically three or four versions behind eighteen months later, and upgrading across multiple major versions simultaneously is disproportionately expensive.
Adaptive maintenance. Updating the application to remain compatible with changes in the external environment: new iOS and Android OS versions, App Store and Play Store policy updates, changes to third-party APIs, and shifts in device hardware capabilities. Adaptive maintenance is non optional and time bound. When Apple releases a new iOS version with a hard API deprecation, every app on the store faces the same deadline.
Perfective maintenance. Improvements to existing functionality, performance optimizations, UI refinements, and usability enhancements driven by analytics, user feedback, and retention data rather than incident reports. Perfective work increases product quality without changing core behavior.
Emergency maintenance. Unplanned, high priority interventions caused by critical production failures: a backend service going down, a payment flow breaking, a security vulnerability being discovered. Emergency maintenance cannot be scheduled; it can only be prepared for through robust monitoring, clear escalation paths, and a team with enough context to diagnose and resolve issues under pressure.
What Actually Breaks Apps After Launch
Generic maintenance guides list "OS updates" and "security patches" as abstract risks. The reality is more specific. These are the failure categories that generate the most post launch incidents across mobile and web products:
Major iOS and Android version releases. Apple and Google release one major OS version per year. Each changes system level behaviors, permission models, and API contracts. iOS 17 changed how background app refresh works. Android 14 introduced stricter notification permission requirements that broke onboarding flows for apps that hadn't updated their permission request logic. Apps using deprecated APIs get flagged by App Store review within one to two cycles after the deprecation deadline.
Third-party SDK and dependency conflicts. Most production apps depend on ten to thirty third-party packages: analytics, crash reporting, payment processing, authentication, maps, media handling. Each has its own release cadence. When Firebase releases a major update, it frequently changes its initialization API. When Stripe updates its SDK, the payment sheet implementation changes. When a Flutter package publishes a breaking change, it can block other dependencies from resolving. Managing this dependency graph proactively is one of the highest value activities in any maintenance program.
Backend API drift. Server side changes that were not coordinated with the mobile client team are a consistent source of post launch breakage. A new required field on an endpoint, a changed response format, a deprecated authentication method, an SSL certificate that expires unnoticed: each produces failures that manifest on the client as crashes or silent data errors.
Memory leaks and performance degradation. Memory leaks accumulate slowly, increasing app memory usage across sessions until the OS terminates the process. Profiling tools like Flutter DevTools, Xcode Instruments, and Android Profiler can identify leak sources, but this work requires scheduled time in the maintenance cycle. Without it, the issue grows silently until users on older devices start reporting crashes.
App Store and Play Store policy changes. Apple and Google update their developer policies independently of OS releases. Privacy Nutrition Labels, required entitlement declarations, minimum SDK version requirements, and content policy enforcement all change on their own timelines. An app that was fully compliant at launch can fall out of compliance without a single line of code changing.
Reactive vs Proactive Maintenance: What the Difference Costs
The most consequential decision in structuring a maintenance program is how much of the effort is proactive versus reactive. Most teams default to reactive because proactive work is harder to justify to stakeholders before an incident has occurred.
Dimension | Reactive Maintenance | Proactive Maintenance |
|---|---|---|
Trigger | Incident report or user complaint | Scheduled audit and monitoring |
Average resolution time | Hours to days | Addressed before user impact |
Cost per incident | High (urgent, unplanned) | Low (scheduled, lower urgency) |
User impact | Visible: crashes, failed flows | None: prevented before reaching users |
Technical debt accumulation | High | Controlled |
App Store compliance risk | High (deadline driven fixes) | Low (tracked and addressed early) |
Team stress | High during incidents | Predictable workload |
Right for | Very early stage, low traffic apps | Any app with active users |
The cost differential is significant. A reactive fix to a critical crash in a payment flow requires an engineer to context switch immediately, diagnose under pressure, fix without adequate testing time, and push an emergency release. The same fix addressed during a scheduled dependency audit, before it caused a crash, takes a fraction of the time and carries no urgency premium.
Proactive maintenance is not more expensive in total. It redistributes cost from unpredictable spikes to predictable, plannable effort.
How to Structure a Maintenance Budget
The most commonly cited benchmark is 15 to 20 percent of the original development cost per year for maintenance. This is directionally useful but not precise enough for planning. A more accurate framework breaks the budget into four categories:
Adaptive maintenance reserve (40 to 50 percent of total budget). This covers OS compatibility work, App Store policy updates, and third-party SDK upgrades. The cadence is predictable: one major iOS release per year, one major Android release per year, continuous SDK updates throughout the year. Teams that do not budget for this separately find it consuming the entire maintenance budget reactively.
Corrective maintenance capacity (20 to 25 percent). Defect resolution, crash fixes, and broken flow repairs. This allocation should decrease year over year as the codebase matures. If it is not decreasing, the preventive maintenance program is insufficient.
Preventive and perfective work (20 to 25 percent). Technical debt reduction, performance optimization, dependency hygiene, and UI refinements driven by usage data from Sentry, Firebase Crashlytics, Datadog, or equivalent observability tooling. This is the category most commonly cut when budgets are constrained and the one that produces the largest long term cost when consistently skipped.
Emergency reserve (10 percent). Unplanned incidents happen regardless of how good the proactive program is. A ten percent reserve for emergency maintenance prevents critical incidents from forcing teams to deprioritize planned work.
For teams evaluating ongoing app maintenance and support options, the most important input is a clear picture of which maintenance types the current program actually covers and which are being silently deferred.
FAQ
What is app maintenance and support and what does it actually include?
How does Neon Apps handle app maintenance for products built by other teams?
How often do apps need maintenance updates?
How does Neon Apps structure a maintenance engagement and what is covered?
How much does app maintenance typically cost per year?
Stay Inspired
Get fresh design insights, articles, and resources delivered straight to your inbox.
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Latest Blogs
Stay Inspired
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Got a project?
Let's Connect
Got a project? We build world-class mobile and web apps for startups and global brands.
Neon Apps is a product development company building mobile, web, and SaaS products with an 85-member in-house team in Istanbul and New York, delivering scalable products as a long-term development partner.
Development
App Maintenance and Support: The Technical Guide for 2026
App Maintenance and Support: The Technical Guide for 2026
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
App Maintenance and Support: What Actually Breaks After Launch and How to Stay Ahead of It
500+ products delivered means 500+ products that kept running after launch day. The pattern Neon Apps observes consistently is that teams who treat maintenance as an afterthought face the same class of incidents on a predictable schedule: a major iOS release breaks a critical user flow, a third party SDK update conflicts with existing code, a slow memory leak compounds over months into a crash loop. This guide covers the five types of app maintenance, the specific technical failure modes that cause most post launch incidents, how to structure a maintenance budget, and when to bring in a dedicated support team.
What App Maintenance and Support Actually Covers
App Maintenance and Support: The ongoing set of technical activities required to keep a deployed application stable, secure, compatible with platform updates, and aligned with user expectations after its initial launch. It spans corrective, preventive, adaptive, and perfective work across the full application stack.
This is not a monthly checklist or a break fix contract. Maintenance is a continuous technical engagement. The codebase a product ships with on day one is already aging: dependencies are being updated by their maintainers, Apple and Google are preparing the next major OS release, third-party APIs are deprecating endpoints, and usage patterns are generating data that reveals performance bottlenecks invisible during development.
A well run maintenance program addresses all of this before it becomes visible to users. A reactive only approach addresses it after an incident report arrives, which is always more expensive and more damaging to retention.
The Five Types of App Maintenance
Understanding the five maintenance types helps teams allocate budget correctly and set accurate expectations for what a support retainer actually covers.
Corrective maintenance. Fixing defects discovered after launch: crashes, incorrect behavior, broken user flows, failed API calls. Corrective work is reactive by nature. Its frequency and cost are largely determined by the quality of the pre-launch testing process. Products that shipped with comprehensive test coverage generate significantly fewer corrective tickets in the first six months.
Preventive maintenance. Refactoring code, resolving technical debt, updating dependencies before they become incompatible, and improving system stability proactively. Preventive work is the most commonly deferred category and the one that creates the largest compounding cost when skipped. A dependency that was one version behind at launch is typically three or four versions behind eighteen months later, and upgrading across multiple major versions simultaneously is disproportionately expensive.
Adaptive maintenance. Updating the application to remain compatible with changes in the external environment: new iOS and Android OS versions, App Store and Play Store policy updates, changes to third-party APIs, and shifts in device hardware capabilities. Adaptive maintenance is non optional and time bound. When Apple releases a new iOS version with a hard API deprecation, every app on the store faces the same deadline.
Perfective maintenance. Improvements to existing functionality, performance optimizations, UI refinements, and usability enhancements driven by analytics, user feedback, and retention data rather than incident reports. Perfective work increases product quality without changing core behavior.
Emergency maintenance. Unplanned, high priority interventions caused by critical production failures: a backend service going down, a payment flow breaking, a security vulnerability being discovered. Emergency maintenance cannot be scheduled; it can only be prepared for through robust monitoring, clear escalation paths, and a team with enough context to diagnose and resolve issues under pressure.
What Actually Breaks Apps After Launch
Generic maintenance guides list "OS updates" and "security patches" as abstract risks. The reality is more specific. These are the failure categories that generate the most post launch incidents across mobile and web products:
Major iOS and Android version releases. Apple and Google release one major OS version per year. Each changes system level behaviors, permission models, and API contracts. iOS 17 changed how background app refresh works. Android 14 introduced stricter notification permission requirements that broke onboarding flows for apps that hadn't updated their permission request logic. Apps using deprecated APIs get flagged by App Store review within one to two cycles after the deprecation deadline.
Third-party SDK and dependency conflicts. Most production apps depend on ten to thirty third-party packages: analytics, crash reporting, payment processing, authentication, maps, media handling. Each has its own release cadence. When Firebase releases a major update, it frequently changes its initialization API. When Stripe updates its SDK, the payment sheet implementation changes. When a Flutter package publishes a breaking change, it can block other dependencies from resolving. Managing this dependency graph proactively is one of the highest value activities in any maintenance program.
Backend API drift. Server side changes that were not coordinated with the mobile client team are a consistent source of post launch breakage. A new required field on an endpoint, a changed response format, a deprecated authentication method, an SSL certificate that expires unnoticed: each produces failures that manifest on the client as crashes or silent data errors.
Memory leaks and performance degradation. Memory leaks accumulate slowly, increasing app memory usage across sessions until the OS terminates the process. Profiling tools like Flutter DevTools, Xcode Instruments, and Android Profiler can identify leak sources, but this work requires scheduled time in the maintenance cycle. Without it, the issue grows silently until users on older devices start reporting crashes.
App Store and Play Store policy changes. Apple and Google update their developer policies independently of OS releases. Privacy Nutrition Labels, required entitlement declarations, minimum SDK version requirements, and content policy enforcement all change on their own timelines. An app that was fully compliant at launch can fall out of compliance without a single line of code changing.
Reactive vs Proactive Maintenance: What the Difference Costs
The most consequential decision in structuring a maintenance program is how much of the effort is proactive versus reactive. Most teams default to reactive because proactive work is harder to justify to stakeholders before an incident has occurred.
Dimension | Reactive Maintenance | Proactive Maintenance |
|---|---|---|
Trigger | Incident report or user complaint | Scheduled audit and monitoring |
Average resolution time | Hours to days | Addressed before user impact |
Cost per incident | High (urgent, unplanned) | Low (scheduled, lower urgency) |
User impact | Visible: crashes, failed flows | None: prevented before reaching users |
Technical debt accumulation | High | Controlled |
App Store compliance risk | High (deadline driven fixes) | Low (tracked and addressed early) |
Team stress | High during incidents | Predictable workload |
Right for | Very early stage, low traffic apps | Any app with active users |
The cost differential is significant. A reactive fix to a critical crash in a payment flow requires an engineer to context switch immediately, diagnose under pressure, fix without adequate testing time, and push an emergency release. The same fix addressed during a scheduled dependency audit, before it caused a crash, takes a fraction of the time and carries no urgency premium.
Proactive maintenance is not more expensive in total. It redistributes cost from unpredictable spikes to predictable, plannable effort.
How to Structure a Maintenance Budget
The most commonly cited benchmark is 15 to 20 percent of the original development cost per year for maintenance. This is directionally useful but not precise enough for planning. A more accurate framework breaks the budget into four categories:
Adaptive maintenance reserve (40 to 50 percent of total budget). This covers OS compatibility work, App Store policy updates, and third-party SDK upgrades. The cadence is predictable: one major iOS release per year, one major Android release per year, continuous SDK updates throughout the year. Teams that do not budget for this separately find it consuming the entire maintenance budget reactively.
Corrective maintenance capacity (20 to 25 percent). Defect resolution, crash fixes, and broken flow repairs. This allocation should decrease year over year as the codebase matures. If it is not decreasing, the preventive maintenance program is insufficient.
Preventive and perfective work (20 to 25 percent). Technical debt reduction, performance optimization, dependency hygiene, and UI refinements driven by usage data from Sentry, Firebase Crashlytics, Datadog, or equivalent observability tooling. This is the category most commonly cut when budgets are constrained and the one that produces the largest long term cost when consistently skipped.
Emergency reserve (10 percent). Unplanned incidents happen regardless of how good the proactive program is. A ten percent reserve for emergency maintenance prevents critical incidents from forcing teams to deprioritize planned work.
For teams evaluating ongoing app maintenance and support options, the most important input is a clear picture of which maintenance types the current program actually covers and which are being silently deferred.
FAQ
What is app maintenance and support and what does it actually include?
How does Neon Apps handle app maintenance for products built by other teams?
How often do apps need maintenance updates?
How does Neon Apps structure a maintenance engagement and what is covered?
How much does app maintenance typically cost per year?
Stay Inspired
Get fresh design insights, articles, and resources delivered straight to your inbox.
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Latest Blogs
Stay Inspired
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Got a project?
Let's Connect
Got a project? We build world-class mobile and web apps for startups and global brands.
Neon Apps is a product development company building mobile, web, and SaaS products with an 85-member in-house team in Istanbul and New York, delivering scalable products as a long-term development partner.
Development
App Maintenance and Support: The Technical Guide for 2026
App Maintenance and Support: The Technical Guide for 2026
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
A technical guide to mobile and web app maintenance: the five types, what breaks after launch, how to budget, and when to bring in a dedicated support team.
App Maintenance and Support: What Actually Breaks After Launch and How to Stay Ahead of It
500+ products delivered means 500+ products that kept running after launch day. The pattern Neon Apps observes consistently is that teams who treat maintenance as an afterthought face the same class of incidents on a predictable schedule: a major iOS release breaks a critical user flow, a third party SDK update conflicts with existing code, a slow memory leak compounds over months into a crash loop. This guide covers the five types of app maintenance, the specific technical failure modes that cause most post launch incidents, how to structure a maintenance budget, and when to bring in a dedicated support team.
What App Maintenance and Support Actually Covers
App Maintenance and Support: The ongoing set of technical activities required to keep a deployed application stable, secure, compatible with platform updates, and aligned with user expectations after its initial launch. It spans corrective, preventive, adaptive, and perfective work across the full application stack.
This is not a monthly checklist or a break fix contract. Maintenance is a continuous technical engagement. The codebase a product ships with on day one is already aging: dependencies are being updated by their maintainers, Apple and Google are preparing the next major OS release, third-party APIs are deprecating endpoints, and usage patterns are generating data that reveals performance bottlenecks invisible during development.
A well run maintenance program addresses all of this before it becomes visible to users. A reactive only approach addresses it after an incident report arrives, which is always more expensive and more damaging to retention.
The Five Types of App Maintenance
Understanding the five maintenance types helps teams allocate budget correctly and set accurate expectations for what a support retainer actually covers.
Corrective maintenance. Fixing defects discovered after launch: crashes, incorrect behavior, broken user flows, failed API calls. Corrective work is reactive by nature. Its frequency and cost are largely determined by the quality of the pre-launch testing process. Products that shipped with comprehensive test coverage generate significantly fewer corrective tickets in the first six months.
Preventive maintenance. Refactoring code, resolving technical debt, updating dependencies before they become incompatible, and improving system stability proactively. Preventive work is the most commonly deferred category and the one that creates the largest compounding cost when skipped. A dependency that was one version behind at launch is typically three or four versions behind eighteen months later, and upgrading across multiple major versions simultaneously is disproportionately expensive.
Adaptive maintenance. Updating the application to remain compatible with changes in the external environment: new iOS and Android OS versions, App Store and Play Store policy updates, changes to third-party APIs, and shifts in device hardware capabilities. Adaptive maintenance is non optional and time bound. When Apple releases a new iOS version with a hard API deprecation, every app on the store faces the same deadline.
Perfective maintenance. Improvements to existing functionality, performance optimizations, UI refinements, and usability enhancements driven by analytics, user feedback, and retention data rather than incident reports. Perfective work increases product quality without changing core behavior.
Emergency maintenance. Unplanned, high priority interventions caused by critical production failures: a backend service going down, a payment flow breaking, a security vulnerability being discovered. Emergency maintenance cannot be scheduled; it can only be prepared for through robust monitoring, clear escalation paths, and a team with enough context to diagnose and resolve issues under pressure.
What Actually Breaks Apps After Launch
Generic maintenance guides list "OS updates" and "security patches" as abstract risks. The reality is more specific. These are the failure categories that generate the most post launch incidents across mobile and web products:
Major iOS and Android version releases. Apple and Google release one major OS version per year. Each changes system level behaviors, permission models, and API contracts. iOS 17 changed how background app refresh works. Android 14 introduced stricter notification permission requirements that broke onboarding flows for apps that hadn't updated their permission request logic. Apps using deprecated APIs get flagged by App Store review within one to two cycles after the deprecation deadline.
Third-party SDK and dependency conflicts. Most production apps depend on ten to thirty third-party packages: analytics, crash reporting, payment processing, authentication, maps, media handling. Each has its own release cadence. When Firebase releases a major update, it frequently changes its initialization API. When Stripe updates its SDK, the payment sheet implementation changes. When a Flutter package publishes a breaking change, it can block other dependencies from resolving. Managing this dependency graph proactively is one of the highest value activities in any maintenance program.
Backend API drift. Server side changes that were not coordinated with the mobile client team are a consistent source of post launch breakage. A new required field on an endpoint, a changed response format, a deprecated authentication method, an SSL certificate that expires unnoticed: each produces failures that manifest on the client as crashes or silent data errors.
Memory leaks and performance degradation. Memory leaks accumulate slowly, increasing app memory usage across sessions until the OS terminates the process. Profiling tools like Flutter DevTools, Xcode Instruments, and Android Profiler can identify leak sources, but this work requires scheduled time in the maintenance cycle. Without it, the issue grows silently until users on older devices start reporting crashes.
App Store and Play Store policy changes. Apple and Google update their developer policies independently of OS releases. Privacy Nutrition Labels, required entitlement declarations, minimum SDK version requirements, and content policy enforcement all change on their own timelines. An app that was fully compliant at launch can fall out of compliance without a single line of code changing.
Reactive vs Proactive Maintenance: What the Difference Costs
The most consequential decision in structuring a maintenance program is how much of the effort is proactive versus reactive. Most teams default to reactive because proactive work is harder to justify to stakeholders before an incident has occurred.
Dimension | Reactive Maintenance | Proactive Maintenance |
|---|---|---|
Trigger | Incident report or user complaint | Scheduled audit and monitoring |
Average resolution time | Hours to days | Addressed before user impact |
Cost per incident | High (urgent, unplanned) | Low (scheduled, lower urgency) |
User impact | Visible: crashes, failed flows | None: prevented before reaching users |
Technical debt accumulation | High | Controlled |
App Store compliance risk | High (deadline driven fixes) | Low (tracked and addressed early) |
Team stress | High during incidents | Predictable workload |
Right for | Very early stage, low traffic apps | Any app with active users |
The cost differential is significant. A reactive fix to a critical crash in a payment flow requires an engineer to context switch immediately, diagnose under pressure, fix without adequate testing time, and push an emergency release. The same fix addressed during a scheduled dependency audit, before it caused a crash, takes a fraction of the time and carries no urgency premium.
Proactive maintenance is not more expensive in total. It redistributes cost from unpredictable spikes to predictable, plannable effort.
How to Structure a Maintenance Budget
The most commonly cited benchmark is 15 to 20 percent of the original development cost per year for maintenance. This is directionally useful but not precise enough for planning. A more accurate framework breaks the budget into four categories:
Adaptive maintenance reserve (40 to 50 percent of total budget). This covers OS compatibility work, App Store policy updates, and third-party SDK upgrades. The cadence is predictable: one major iOS release per year, one major Android release per year, continuous SDK updates throughout the year. Teams that do not budget for this separately find it consuming the entire maintenance budget reactively.
Corrective maintenance capacity (20 to 25 percent). Defect resolution, crash fixes, and broken flow repairs. This allocation should decrease year over year as the codebase matures. If it is not decreasing, the preventive maintenance program is insufficient.
Preventive and perfective work (20 to 25 percent). Technical debt reduction, performance optimization, dependency hygiene, and UI refinements driven by usage data from Sentry, Firebase Crashlytics, Datadog, or equivalent observability tooling. This is the category most commonly cut when budgets are constrained and the one that produces the largest long term cost when consistently skipped.
Emergency reserve (10 percent). Unplanned incidents happen regardless of how good the proactive program is. A ten percent reserve for emergency maintenance prevents critical incidents from forcing teams to deprioritize planned work.
For teams evaluating ongoing app maintenance and support options, the most important input is a clear picture of which maintenance types the current program actually covers and which are being silently deferred.
FAQ
What is app maintenance and support and what does it actually include?
How does Neon Apps handle app maintenance for products built by other teams?
How often do apps need maintenance updates?
How does Neon Apps structure a maintenance engagement and what is covered?
How much does app maintenance typically cost per year?
Stay Inspired
Get fresh design insights, articles, and resources delivered straight to your inbox.
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Latest Blogs
Stay Inspired
Get stories, insights, and updates from the Neon Apps team straight to your inbox.
Got a project?
Let's Connect
Got a project? We build world-class mobile and web apps for startups and global brands.
Neon Apps is a product development company building mobile, web, and SaaS products with an 85-member in-house team in Istanbul and New York, delivering scalable products as a long-term development partner.