📞 (866) 965-8749✉️ sales@handsontech.io📍 2108 N ST STE N, Sacramento, CA 95816
Serving the U.S. — ET · CT · MT · PTin𝕏ig
Mobile App Development

AI Mobile App Design & Development

AI mobile app development company. On-device and API-powered AI features for iOS and Android that feel instant, work offline and keep sensitive data private.

The short answer

HandsOnTech designs and builds AI-powered mobile apps for iOS and Android — deciding feature by feature what runs on-device for speed and privacy versus through APIs for capability, with UX tuned for small screens, spotty connections and battery life. Typical builds run 10–16 weeks including store submission.

AI that feels instant, even on a phone

A phone is the worst place to fake AI performance and the best place to deliver it. Users are on the move, connections drop, batteries matter — and a feature that takes eight seconds with a spinner gets one chance before it’s ignored forever.

The answer is architectural: run the right work in the right place. On-device models make frequent features instant, private and free per use. Cloud models bring frontier quality for the moments that justify a round trip. The craft is in the split — and in UX honest about which one is happening.

What we build

  • Smart capture — camera and document features that extract, classify and summarize on the spot
  • Voice interfaces — transcription, commands and conversation designed for hands-busy contexts
  • Personalization engines — feeds, recommendations and coaching that learn on-device
  • Assistant features — grounded Q&A and workflow copilots inside your app, with the guardrails production demands
  • Multimodal workflows — photo-plus-voice-plus-context features native apps do better than any web page

Each ships with the full mobile app development baseline: store submission, crash monitoring, analytics and a 30-day warranty.

Mobile AI UX is its own discipline

Desktop AI patterns don’t shrink gracefully. Streaming a 400-word answer onto a phone screen is theater nobody reads; a keyboard is where voice should be; a lost connection mid-generation needs a designed recovery, not a crash. We design for the pocket context: short outputs, resumable operations, offline states that degrade usefully, and progress that feels like momentum. The trust patterns — confidence, citations, failure recovery — carry over from our AI design practice, resized for thumbs.

Privacy as a feature, not a footnote

Health data, family photos, kids’ schedules, financial records — the data mobile apps touch is exactly the data users don’t want sent to someone else’s server. On-device inference turns that tension into a selling point: your data never leaves your phone is both an architecture and a marketing line. Where cloud is unavoidable, we minimize, anonymize and disclose — and keep the privacy labels truthful, because store reviewers and users both check now.

Shipped the HandsOnTech way

Two-week sprints, TestFlight builds on your phone from week four, engineers in the demo call, and a fixed price agreed before kickoff. After launch: crash monitoring, release management and model-quality evals as providers update — because an AI feature that silently degraded is worse than one that never shipped.

Bring the feature idea or the whole app concept. A scoping call gets you the on-device/cloud map, a realistic cost picture including model usage, and a written plan with a date.

The problem

Why apps get deleted

Day-one delight means nothing if booking, checkout or onboarding fails on a bad connection.

Overbuilt v1

Too many screens before value. Users never reach the aha moment.

Store rejection loops

Privacy, permissions and assets wrong — launch slips by weeks.

Abandoned after launch

Crash spikes with no one watching. Reviews tank.

What you get

Apps that stay on the home screen

Native iOS and Android or React Native — shipped and supported.

iOS & Android native

Platform-native UX when performance and OS features matter most.

React Native / Flutter

One codebase, two stores, faster iteration.

Store submission & ASO

Assets, review cycles and keyword optimization.

Post-launch releases

Crash monitoring, analytics and scheduled updates.

Methodology

Ship to both stores

TestFlight and Play builds every sprint.

01

Define

Core loop, permissions model and offline requirements.

02

Prototype

Tap-through flows validated on real devices.

03

Build

Sprints with device testing and API integration.

04

Launch

Store submission, monitoring and release train.

Ways to work with us

Three ways to engage

Every model starts with a free consultation and a written quote — the price you sign is the price you pay.

SEO · AEO · Paid media · Content

Growth Retainer

Monthly compounding work on organic and paid visibility, reported against pipeline.

  • Monthly sprint plan agreed in advance
  • Live dashboard — the same numbers we see
  • AI visibility report: which prompts name you
  • No long lock-in — cancel with 30 days notice
  • Same team as your build, no handoff loss
Plan my growth
Designers · Engineers · Marketers

Dedicated Team

Senior specialists embedded in your Slack, repo and standups — capacity without recruiting.

  • Start within 1–2 weeks of the intro call
  • Your tools, your process, your time zone
  • Scale seats up or down with two weeks notice
  • NDA and full IP assignment from day one
  • Direct access — no account-manager relay
Build my team
Tools & platforms

The stack we ship with

Chosen per project for your team and roadmap — never by our habits.

Design

FigmaDesign tokensStorybookFramerPrototypingWCAG 2.2

Frontend

ReactNext.jsAstroTypeScriptTailwind CSSVue

Backend

Node.jsPythonPostgreSQLLaravelGraphQLRedis

Platforms

WordPressShopifyWebflowSanityContentfulVercel & AWS

Mobile

Swift / SwiftUIKotlin / ComposeReact NativeFlutterTestFlightPlay Console

AI

Anthropic ClaudeOpenAIRAG pipelinesVector DBsEval suitesVoice AI
4.8★App Store rating (BusyHen)
2.4×Booking completion
10–16 wkTypical app build
Compare

HandsOnTech vs. typical app agencies

HandsOnTechTypical agency
Post-launchReleases & monitoringGone after v1
AccessEngineers in standupPM relay
ScopeMVP-first roadmapKitchen-sink v1
OwnershipSource code yoursWhite-label lock-in
🛡️

30-day warranty

Bugs found in the first month get fixed free — in the contract.

🔓

You own everything

Code, designs and content transfer on final payment.

🇺🇸

U.S. hours overlap

Standups and demos on ET, CT, MT or PT — your pick.

💵

Fixed price, fixed date

Quoted in writing before work starts. No surprise change orders.

FAQs

Common questions

Should AI features run on-device or in the cloud?

On-device (Core ML, Gemini Nano) wins for instant-feel features, offline use, privacy-sensitive data and zero per-request cost. Cloud APIs win for frontier-model quality and heavy reasoning. Most good AI apps mix both — on-device for the frequent fast paths, cloud for the occasional deep ones. We map this per feature during scoping, with the cost math attached.

How much does an AI mobile app cost?

AI-powered apps typically run $50k to $140k depending on platform count, model strategy and backend needs — modestly above a conventional app of the same size, mostly in the AI integration and evaluation work. Written fixed-price quote after scoping, including projected model API costs at your expected usage.

How do you keep AI features from draining battery and data plans?

Architecture choices — on-device models for frequent tasks, response caching, batched requests, and honest UX that runs heavy jobs when the phone is charging or on Wi-Fi. We profile battery and data impact on real devices before submission, because users uninstall apps that run hot.

What about user privacy and sensitive data?

Where data is sensitive — health, finances, kids, photos — we default to on-device processing so it never leaves the phone, and when cloud calls are necessary we minimize, anonymize and disclose. Privacy is an architecture decision made at scoping, and increasingly it's also what App Store review and your users demand.

Will Apple and Google approve an AI app?

Yes, with the compliance work done — AI content disclosures, moderation for user-generated AI output, privacy labels that match actual data flows, and age ratings where generative features require them. We handle this at submission and run the resubmission cycle if a reviewer pushes back.

Can you add AI features to our existing mobile app?

Usually, yes — a well-scoped AI feature (smart search, summarization, a camera or voice capability) can ship into an existing codebase in 6–10 weeks after an architecture audit. We tell you honestly whether your current stack supports it or whether technical debt makes it a bigger job.

Built for founders who are done waiting on agencies.

One team. One contract. Working software every two weeks.

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Let's talk

Tell us what you're building.

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