Native iOS Apps
Swift and SwiftUI against current SDKs, architected for the scale you are planning for rather than the traffic you have today. Built on the latest iOS SDK, with full camera and media hardware access.
We design, build, and rescue native iOS and Android products for LA media, commerce, and consumer brands. Engineered for the traffic a campaign creates, not the traffic you had last week.
30 Minutes | No Obligation
As one of the top mobile app development firms in Los Angeles, we’re recognised across the industry for the work we deliver.
Los Angeles runs on moments, and software built for a steady curve tends to meet one badly. A show drops and the companion app absorbs a year of traffic in ninety minutes. A creator with four million followers mentions a product, and the checkout flow meets a load nobody modelled. A ticketing platform opens a presale, and the first sixty seconds decide whether the brand trends for the right reason or the wrong one.
That is the specific way software fails here. Not slowly, and not quietly. It fails in public, on a day the media spend has already cleared, in front of an audience that will screenshot it before your engineers have opened a dashboard. Then there is the audience itself. Consumer and entertainment products in LA skew young, which puts COPPA and age gating in scope far more often than teams expect. California privacy law sits on top of that, and a creator platform handling payouts inherits a third layer again. So as mobile app developers in Los Angeles, CA, we treat peak load and compliance scope as things you decide in discovery rather than discover in launch week. Both are considerably cheaper to settle now.
Tailored to Your Business Stage
A seed-stage founder and a national brand are solving different problems, and an agency that scopes them the same way wastes money on one end and underbuilds on the other.
A lean MVP in 8 to 12 weeks covering the core loop, not the full roadmap. We will tell you which features to cut.
Retention, funnel, and cohort data wired in before launch, so your next raise rests on numbers rather than a narrative.
Built lean, but not built to be thrown away. The foundation holds when usage grows.
Published pricing and fixed scope after discovery, because runway maths does not survive an estimate that drifts.
Documentation and knowledge transfer built in, so bringing it in-house after a raise is a plan rather than a rescue.
ERP, CRM, CMS, and internal systems connected properly rather than worked around.
CCPA, CPRA, COPPA, HIPAA, and PCI scoped at kickoff with audit documentation produced as we build.
Load modelled against your campaign calendar, with testing at the concurrency your marketing team is actually planning for.
SSO, role-based access, and audit logging, because your legal and IT teams will test all three.
A ring-fenced squad, or engineers working inside your existing team and tooling, whichever fits how you already operate.
Full-lifecycle mobile application development in Los Angeles, CA, from the first architecture conversation through years of production support.
Swift and SwiftUI against current SDKs, architected for the scale you are planning for rather than the traffic you have today. Built on the latest iOS SDK, with full camera and media hardware access.
As an Android app development company in Los Angeles, we build in Kotlin and Jetpack Compose, tested across the device range your analytics actually show. Tested on real devices rather than emulators, with Play Store submission handled end-to-end.
React Native and Flutter, where one codebase genuinely serves both without a performance cost. One codebase, both app stores, and honest advice on when native wins.
A tightly scoped first version in 8 to 12 weeks, instrumented from the start and built so version two extends it instead of replacing it. Core loop only, nothing spare, with retention analytics live from launch.
Video delivery, DRM, offline download, adaptive bitrate, and playback that holds up on a phone with two bars. FairPlay and Widevine DRM support, with offline download and licence management.
Onboarding, retention mechanics, push strategy, headless commerce, and checkout built for a drop rather than a Tuesday. Queue-based checkout that survives sellouts, with live inventory sync and atomic reservation.
Two-sided products with payouts, verification, ratings, and the trust and safety systems a public platform needs from launch. Split payments and PCI-compliant creator payouts, with moderation and verification built in.
A vendor who vanished, a stalled build, or a codebase you have outgrown. We audit, stabilise what holds, and migrate in phases while the current product stays live, with a written audit of what is salvageable and no operational blackout.
Where most scaling failures actually begin. Data layer, real-time infrastructure, CDN and media pipelines, load-tested against your campaign calendar, plus SLA-backed monitoring, patching and feature work once you are live.
AI Engineering
Entertainment and commerce products in LA have a specific AI problem. The features that actually move retention are recommendation, moderation, and search, and all three are judged on whether they work at scale rather than whether they demo well.
Active pipeline
Content and product ranking trained on your behavioural data, tuned against watch time or repeat purchase rather than an offline benchmark.
Automated review of user uploads, comments, and media, with escalation paths and human review where the model should not decide alone.
Transcription, captioning, scene detection, and metadata extraction across libraries too large to tag by hand.
Natural-language search over catalogues, listings, and content libraries, grounded in your own data rather than a general model guessing.
Segmentation and targeting built inside California’s privacy constraints, so the experience feels tailored rather than surveilled.
Regression testing, output monitoring, and audit logging, because a recommendation model that quietly degrades costs you retention before anyone files a bug.
The usual pattern is familiar enough that most LA buyers can recite it. Senior people run the pitch. The contract is signed. The work moves to a team you have never met, often overseas, and the first month goes into explaining your product to people who were not in any of the original conversations.
We staff so that cannot happen. The engineers who scope your build are the ones who write it, and they are still there when something breaks at 11 pm on launch night.
Whoever sits in your technical discovery is whoever commits the code. Nobody gets introduced in week three as the delivery team.
Your engineers work your hours. A question at 9 am gets an answer today, not overnight from someone reading a handover note.
Direct access to the people building your app instead of an account manager relaying messages in both directions.
Phase 01
We define success commercially and technically: users, goals, and the compliance scope that applies, including CCPA, CPRA, and COPPA where your audience skews under thirteen.
Campaign calendar, expected concurrency, and worst-case load written down as numbers, because architecture decisions depend on them and retrofitting scale is expensive.
A technical blueprint, a backlog ordered by impact rather than build convenience, and a timeline we will be held to.
Phase 02
Clickable prototypes tested with real users before production code exists.
Backend infrastructure, schema, media pipeline, and scaling path mapped before anything is built on top of them.
Consent flows, age gating, data retention, and access control designed in, because retrofitting them before a launch is slow and expensive.
Phase 03
Two-week cycles ending in a build you can install. Your team is welcome in the reviews.
Automated and manual testing across real hardware, plus load testing at the concurrency you modelled in week one.
App Store and Play submission handled end-to-end, engineers on call through launch week, then patching and next-phase planning from real usage data.
The languages, frameworks, media pipelines and cloud platforms our engineers work in every day.
We publish ranges because your time is worth more than three discovery calls before anyone says a number.
15,000 USD to 25,000 USD
For founders validating a product. Core functionality, standard UI, instrumentation, and the backend integrations needed to reach real users.
Timeline: 8 to 12 Weeks
25,000 USD to 120,000 USD
Custom UI/UX, cross-platform reach, advanced integrations, and a secure admin layer, for brands that need something feature-complete.
Timeline: 4 to 6 Months
120,000+ USD
Complex integrations, media infrastructure, offline sync, full compliance adherence, and architecture built for sustained peak load.
Timeline: 8+ Months
Someone who understands your architecture and your launch calendar well enough to answer a question without scheduling a follow-up, sits in the sprint reviews, and raises risk before you think to ask. Assigned at kickoff and on the account until post-launch support ends.
A defined build with a clear endpoint and a number agreed before anyone writes code.
A squad assigned to your product and nothing else, sized to the work rather than to our bench.
Our developers inside your standups, your repository, and your review process, working alongside your existing team.
Most LA engagements start fixed-scope for a first build and convert to a retainer once it is live. Changing models is a conversation, not a contract negotiation.
California sets the privacy floor for most of the US. CCPA and CPRA govern how consumer data is collected, sold, and deleted, and the California Privacy Protection Agency has moved from advising to enforcing. For LA consumer and entertainment products, COPPA frequently applies too, since audiences skew younger than teams assume. We handle those alongside PCI DSS for payments, HIPAA where health data is involved, SOC 2 for enterprise sales, and GDPR and the EU AI Act where your users sit outside the US. Audit documentation is produced during the build, not the week before a review.
Six things that change how the build goes, and how launch night ends.
Peak load is a design input here, not an incident report. Architecture gets sized against your campaign calendar rather than your baseline traffic.
Streaming, DRM, transcoding, and offline playback are core in-house capability rather than something we subcontract when a client asks for it.
Crash reporting, performance monitoring, and funnel analytics are built in, so when a number moves, you know why rather than guessing.
CCPA, CPRA, and COPPA scoped at kickoff. Consent flows and age gating designed in rather than bolted on the week before launch.
Engineers on call for the first forty-eight hours, shipping fixes rather than logging them for the next sprint.
If a feature is not worth the engineering, we say so. That conversation costs us revenue and saves you more.
Sectors We Build For
As one of the leading app development companies in Los Angeles, our technical experience spans the sectors this city runs on.
Discuss Your ProjectProven Results
Reference builds showing our approach to recurring problems across LA’s core sectors. Client engagements under NDA are described by problem rather than by name.
Case studies
Case Study 01 Entertainment
Companion App for a Scripted Series
Entertainment
Case Study 02 Commerce
Limited-Release Commerce
Commerce
Case Study 03 Health & Fitness
Coaching and Wearable Platform
Health & Fitness
Security and regulatory compliance are built into every phase of the build, so your software stays aligned with the standards your industry demands.
Our engineers maintain up-to-date cloud and engineering certifications, keeping your projects on modern, well-supported platforms.
Recognised across the industry for dependable delivery, measurable client outcomes, and long-term engineering partnerships.
Built for the Day the Traffic Arrives
A product that falls over on your biggest day, a build that stalled halfway, a compliance question nobody has answered, or an idea that needs a team to ship it properly.
A senior engineer comes back within one business day with an honest read on scope, approach, and fit.
Common Questions
Most projects land between $15,000 for a lean MVP and $120,000 or more for enterprise-scale platforms, with media infrastructure, peak load requirements, and compliance scope driving most of the variance.
DRM, transcoding pipelines, CDN delivery, and offline playback are all engineering work a standard consumer app does not require. We scope them explicitly rather than folding them into a line item.
Ranges are published before the first call, and scope is fixed after discovery. Nothing gets added mid-project without a conversation first.
A scoped MVP focused on your core feature set typically launches in 8 to 12 weeks, enough to validate demand before committing to a full build.
Yes, and it changes how we scope. We work backwards from the date, cut features rather than corners, and reserve time for the load testing a compressed timeline usually sacrifices first.
Yes. Engineers are on call through the first forty-eight hours, shipping fixes rather than logging them for the next sprint.
Same-day answers instead of overnight handoffs, engineers in Pacific time, and someone who can be in the room for a launch review rather than on a call at 3 am.
Both. We frequently sit behind a creative or brand agency as the engineering partner, and we are comfortable being invisible in that arrangement.
Yes. Discovery workshops, launch planning, and milestone reviews all happen in person across LA County.
Ask who specifically writes the code, how they model peak load before launch, what happens on launch night, and whether pricing is published upfront or quoted on request.
Both, and we scope them differently. A seed-stage MVP and an enterprise build have different definitions of done.
Yes. We start with a technical audit and a load test to establish where it actually fails, then build a plan to stabilise and finish it.
Native in Swift and Kotlin for media-heavy or hardware-integrated products. React Native when speed to market matters more, which for a consumer MVP it often does.
Yes. HLS and DASH delivery, FairPlay and Widevine DRM, offline download with licence management, and transcoding pipelines are core capabilities rather than subcontracted work.
Yes, provided the data layer supports it. Recommendation engines, content moderation, conversational search, and media intelligence can all be added. We audit first and say honestly if the foundation will not carry it.
You do, entirely. Code sits in your repository from the first commit, and all architecture and design assets are yours.
It applies to services directed at children under thirteen, or where you have actual knowledge of users in that age group. LA consumer and entertainment audiences skew younger than most teams assume, so we scope it during discovery rather than after a complaint.
Consumer data rights, deletion workflows, consent flows, and disclosure requirements are designed into the data architecture rather than added later. We sign an NDA before any project specifics are discussed.