Services · Mobile app development · AI apps
Codeeo provides AI app development in Los Angeles for media companies, consumer brands, wellness startups, fashion labels and trade businesses that want generative and predictive features inside a real product. We design the consumer or staff app, the admin tools behind it and the model pipeline that writes, sees, listens and recommends. California privacy law, likeness rights and content provenance are treated as product requirements from the first sketch, not as a legal patch added before launch.
We are not based in LA. A team of 80+ in Dubai, Riyadh and Karachi works remotely with California clients, and every discovery session, design critique and release review takes place over video, recorded and summarized in writing afterward.
200+ companies across the US and the UAEFrom a first store to a listed developer
What an LA AI app can do
Los Angeles asks different things of AI than most American cities. Production companies in Burbank, Hollywood and Culver City care about scripts, footage, talent and rights. Startups along Silicon Beach in Santa Monica, Venice and Playa Vista build consumer apps where personalization is the product. Brands in the Downtown Fashion District need visual search and fast catalog work, and importers near the ports of Los Angeles and Long Beach drown in shipping documents.
Across all of them sits California law, which is stricter than most states on personal data, bots and the use of a performer's voice or face. And LA customers speak Spanish, Korean, Armenian, Tagalog, Mandarin and many other languages at home. The features below are the ones LA clients bring to us most, and every one is built with clear consent, clear labeling and a person able to step in.
Tagging and semantic search across dailies, B roll, stills and archived episodes, so an editor can type a description of a shot and get matching clips with timecodes. Rights metadata travels with each asset, so restricted material is flagged before it reaches a cut.
Editors find usable footage in seconds rather than scrubbing timelines.
When an app generates or alters a voice or likeness, it needs a record of who agreed to what, for which project and for how long. We build consent capture, scope limits and revocation into the workflow, which supports compliance with California's digital replica statutes and union agreement terms your counsel identifies.
Every synthetic voice or face can be traced to a signed permission.
Tools that summarize submissions, draft coverage, track characters and locations, and break a script into scenes for scheduling. Writers' text stays inside your environment, and the assistant never claims authorship of creative material.
Development teams read more submissions with the same headcount.
Shoppers photograph an outfit or upload a screenshot and the app finds matching or similar items from your catalog. On the back end, models write product descriptions, suggest tags and spot inconsistent sizing data before items go live.
Customers find what they saw and merchandisers ship listings faster.
Recommendation and coaching logic for fitness, wellness, music and learning apps, trained on behavior users have agreed to share. Health adjacent features stay clear of diagnosis, and settings let users see and reset what the app has learned about them. Notifications are paced around each person's habits instead of blasting everyone at once.
Users get suggestions that feel relevant rather than intrusive.
Support assistants that answer in Spanish, Korean, Armenian, Tagalog and other languages your LA customers use, with tone checked by native reviewers. California's bot disclosure rule is honored by telling users plainly when they are talking to an automated assistant.
Neighborhood customers from Koreatown to Glendale get help in their own language.
For importers and freight forwarders working the San Pedro Bay ports, models that read bills of lading, commercial invoices and packing lists, reconcile them against purchase orders and flag mismatches before customs filing or drayage booking. Exceptions go to a named coordinator with the conflicting fields highlighted.
Containers stop waiting on a missing or mistyped document.
Background removal, pose tracking, try on and scene detection running on the phone's own chip, which keeps images private and responsive. AI mobile app development for Los Angeles consumer brands often depends on this, because cloud round trips feel slow inside a camera view.
Camera features feel instant and photos stay on the device.
Moderation for user uploads and generated output, watermarking or content credentials on synthetic media, and review queues for borderline cases. Your trust and safety team can tune thresholds without a new release.
Generated content is labeled and harmful uploads are caught early.
Self service screens and back office tooling for Californians who ask to know, correct, delete or opt out of the sale or sharing of their data, including data used to personalize models. Requests are logged with deadlines so nothing slips.
CCPA requests are answered on time with a clear audit trail.
Who this is for
Custom AI app development in Los Angeles covers wildly different businesses, from a two person creator tool to a studio's internal platform. These four starting points come up most, and each changes what we build first and which legal questions come up early. Budgets, risk appetite and internal skills differ just as much. A studio may have a security review that takes longer than the build, while a seed stage founder needs a working version in front of users before the next funding conversation. We plan the first release around those realities rather than a standard package.
Production teams want AI to speed up search, logging, subtitling and versioning without exposing unreleased material or a performer's likeness. We deploy inside your cloud tenancy, restrict which models can see which projects and keep generated output marked as such. Union and talent agreements shape what is allowed, so your business affairs team joins discovery from the start.
Unreleased footage never goes to a public model endpoint.
Early teams in Santa Monica and Playa Vista need a credible product quickly and a codebase investors will not question. We help pick a narrow AI feature that defines the product, build it with evaluation from the start, and keep the architecture simple enough for your first in house engineers to own. If the plan changes after early user feedback, the scope changes with it in writing.
We write handover documentation as we go, not at the end.
Brands around the Fashion District and the Arts District want discovery and styling features that lift conversion without feeling gimmicky. We pair visual search, try on and generated product copy with your existing Shopify or headless storefront, and we test whether each feature actually changes buying behavior before rolling it out to everyone.
Features are released to a test group first and measured.
Trade businesses in Carson, Long Beach and the Inland Empire handle large volumes of paperwork across carriers, brokers and warehouses. A document model with a reviewer app and alerts for exceptions can remove a lot of manual rekeying while keeping a licensed customs broker in control of filings. Port congestion and carrier changes make exceptions common, so the app prioritizes the shipments with the nearest cutoff and shows coordinators exactly which field needs attention first.
Humans approve anything that goes to a government system.
How we work together
Startups usually begin with a fixed scope first release and then move to a monthly retainer as the product finds users. Studios and established brands often prefer a dedicated group of engineers and designers who plug into their own sprint rituals and tools. Whichever route you pick, repositories, model accounts and design files live under your ownership from the first commit. As an AI app development company working remotely with Los Angeles clients, we document decisions after every call, so a producer joining late can catch up from the written record. Fees for each option are quoted after discovery, when the rights work, integrations and media volumes are known.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
Swift, Kotlin, React Native or Flutter for the app, Core ML and ML Kit for on-device features, Python model services, and media pipelines on AWS, Google Cloud or Azure. We choose image, video, speech and language models per feature and keep them swappable. Media storage and transcoding are sized for real production volumes, not sample clips.
01Mobile
02Data and cloud
03Marketing and tracking
Search, logging and versioning first, generation later and carefully.
Most media clients get fast value from making existing footage, scripts and stills searchable, then from automating subtitles, transcripts and deliverable versions. Generative features that create or alter performances come later, once consent records, labeling and approvals are in place. We help you sequence the roadmap so the low risk, high effort tasks are automated before the sensitive ones are attempted. Post houses also gain from automated quality checks that catch missing captions, audio sync drift or wrong aspect ratios before delivery to a distributor.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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