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AI App Development Company for Founders Building Web and Mobile Apps Around AI

For founders and product teams launching an AI product: a web or mobile app built around one proven AI feature, with its running cost per user known before launch.

  • 8weeks

    To a launched AI MVP

  • 100%

    API keys kept server-side

How your project runs

01 · Free
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  1. 01Free Product Call
  2. 02AI Prototype
  3. 03Design the App
  4. 04Build and Test
  5. 05Launch and Support

Teams we have built for:

  • Amazon Web Services
  • HubSpot
  • Linode
  • Microsoft Azure
  • Moodle
  • Magento
  • Oracle
  • Salesforce
  • SAP
  • Squarespace
  • Weebly
  • WP Engine
  • Google Cloud
  • DigitalOcean

The Problem

Your AI Demo Impressed Investors, Then the Real Costs Showed Up

It shows up between the first demo and the first paying users. The AI part looks done, but accounts, payments, usage limits, and app store rules decide whether the product survives.

  1. Exposed keys

    The model API key ships inside the app.

    Exposed keys

    Requests go through your backend, which holds the key and checks each user.

  2. Unknown cost

    Nobody knows what one active user costs per month.

    Unknown cost

    A cost per active user estimate comes from tests on your real data.

  3. Free-tier drain

    Free users burn through the model budget.

    Free-tier drain

    Usage limits per plan protect margins, and paying users get priority.

  4. Slow replies

    The app freezes when the model provider slows down.

    Slow replies

    Timeouts, streamed replies, and a backup model keep the app responsive.

You built a demo over a weekend: an app that calls an AI model and returns something impressive. Investors liked it. Then the real questions arrived. The API key sits inside the app, where anyone can pull it out and run up your bill. Nobody knows what one active user costs per month. Free users hammer the AI feature while paying users wait. When the model provider slows down, the app just spins. And app store review hasn't even started.

We start by pricing the AI, not just the build. We test the AI feature on your real data, estimate what each active user costs, and choose the platform with that number in mind. Then we build the full app around it: accounts, payments, usage limits per plan, and AI calls routed through your own backend with fallbacks. You launch with known unit costs and an app that holds up as usage grows.

  • Cost per user first

    We estimate the AI cost of each active user before the build plan is final.

  • Keys stay on your server

    Every AI request runs through your backend, so no API key ships inside the app.

  • Web and mobile ready

    React Native or Flutter reaches iOS and Android from one codebase, with web alongside.

Our AI App Development Company Process

From AI Idea to App Store Launch in Five Clear Steps

You approve the AI test results, the cost per user, and the designs before the build. Then you test each feature on a staging build every week.

  1. We talk through your app idea, the AI feature at its center, your users, and your budget. You get our honest read on what to build first, the main cost drivers, and a fixed price for the prototype.

What's Included

What You Get With AI App Development Services

Everything a working AI product needs: the AI feature proven on your data, the app around it, the backend that controls costs, and a store-ready release you own.

  • AI feature prototype

    The core AI feature tested on your own data, with results you review before the full build.

  • Cost per active user model

    Model, hosting, and storage costs estimated per active user, so your pricing covers the AI bill.

  • Web and mobile apps

    React Native, Flutter, or Next.js apps with accounts, onboarding, and the AI flow at the center.

  • Secure AI backend

    A backend that holds API keys, checks each user, applies plan limits, and logs every request.

  • Fallbacks and safety checks

    Timeouts, a backup model, and content checks keep the app usable when a model misbehaves.

  • Store release and handover

    App Store and Google Play submission, analytics, code handover, and 30 days of fixes.

Compare Options

DeveloperLook vs AI App Builder vs Freelancer

An AI app builder suits quick internal tools and tests, and a freelancer suits a small, well-defined feature. Here is how a team compares with a solo AI app developer once the app has to earn money.

DeveloperLook
AI App Builder
Product planning
DeveloperLook: AI tested before the build planAI App Builder: Template-led, you plan alone
Custom features
DeveloperLook: Any feature your users needAI App Builder: Limited to the builder's blocks
AI cost control
DeveloperLook: Per-user limits and cost dashboardAI App Builder: Builder's pricing, limited control
API key safety
DeveloperLook: Keys held on your backendAI App Builder: Handled inside the builder
First version
DeveloperLook: Prototype in 2 to 3 weeksAI App Builder: Hours to days
Starting cost
DeveloperLook: From $1,350, fixed scopeAI App Builder: Lowest, a monthly subscription
App store release
DeveloperLook: Submission and review handledAI App Builder: Some publish, many stay web only
Ownership
DeveloperLook: Code and accounts are yoursAI App Builder: Tied to the builder's platform

Projects We've Built

Mobile and web apps we designed and built, including the dashboard for CognifyHR, an AI recruitment software company. They show our app product work, not one AI app build each.

What Our Clients Say

What Clients Say After Launch

Feedback from teams we have built apps, platforms, and websites for.

We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.

Michael BennettFounder & CEO of Northbridge Consulting01 / 03
  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

Want results like these?

Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.

Work Culture

Why Founders Trust Us With Their AI Product

Founders often pick an AI app development company for its demo reel. They stay because we get the unglamorous parts right: unit costs, key safety, store releases, and code they own.

  • Unit costs before features

    We price what the AI costs per active user before we plan features. Your subscription price then covers the model bill instead of hoping it will.

  • Keys stay off the device

    We route every AI request through a backend we build for you. A copied app bundle can't expose your API key or your budget.

  • Honest about AI's role

    If a rule or a search box does the job better than a model, we'll say so before we quote. AI goes where it earns its running cost.

  • Tested on real phones

    We test on mid-range iPhones and Android phones, not only simulators. Slow networks and slow model replies are part of every test plan.

  • Swap models without rewrites

    We keep model calls behind one interface in your backend. When a cheaper or better model appears, switching is a config change and a test run.

  • You own the whole product

    Code, store listings, cloud accounts, and model keys are in your name from day one. Nothing depends on our logins after handover.

Overview

What does an AI app development company build for startups and businesses?

DeveloperLook is an AI app development company that builds web and mobile apps around one proven AI feature. Each project covers an AI prototype on your data, cost per active user, design, the app and its secure backend, and store release. Prototypes start at $1,350, launched MVPs take 8 to 12 weeks, and you own the code.

DEVELOPERLOOK

Project facts · AI App Development Company

Service
AI App Development Company (AI prototype, web and mobile apps, secure AI backend, store release)
Typical timeline
2 to 3 weeks for a prototype, 8 to 16 weeks for a launched app
Platforms
iOS, Android, and web, with OpenAI, Anthropic, or Google Gemini models
Built with
React Native, Flutter, Next.js, Node.js, Python, Firebase or Supabase
Experience
10+ years of development experience and 1,250+ shipped projects
Post-launch support
30 days of fixes and questions after handover
Communication
Calls in US, UK, and AU business hours
Starting price
From $1,350 USD, fixed scope after a discovery call

Reviewed 28 Oct 2026 by Saimul Islam

Good fit

  • Founders with an AI app idea

    You have an AI product idea and need a working prototype and real cost numbers before you raise money or quit your job.

  • SaaS teams adding a mobile app

    Your web product already uses AI and customers want a phone app. You need ai mobile app development that reuses your accounts and AI backend.

  • Businesses outgrowing a no-code AI build

    Your app builder prototype found real users, but limits, costs, and missing features now block your growth.

  • US companies wanting US contracts

    You're looking for an AI app development company in USA time zones, with a US company on the contract and calls during your workday.

  • Agencies selling AI apps

    Your clients ask for AI apps, and you need artificial intelligence app development delivered under your brand by a senior team.

Not a fit

  • One feature, existing app

    You already have an app and need one generative feature added to it. Generative AI Development covers that work without a full app build.

  • AI not the core feature

    You need an iPhone or Android app where AI isn't the core feature. Our Mobile App Development page is the closer match.

  • Internal tool, few staff

    You need a simple internal AI tool for a handful of staff. A no-code AI app builder will likely do it for less.

  • Budget under $1,350

    Your budget is under $1,350 for the whole app. Start with a no-code builder prototype and come back once users prove the idea.

Not sure we're the right fit?

Book a free call or message us. We'll tell you honestly whether we're the right team.

Pricing

Transparent Starting Prices for AI App Development Company Projects

These are starting points in USD. Your final price depends on your platforms, AI features, and payment needs, and you get a fixed proposal after a free discovery call.

$2k$4k$6k$8k$10k$12k$1,350$4,600$9,400

For founders who need the AI core working on real data before funding a full build.

$1,350one-time, USD

Get a fixed quote
  • Working prototype of one AI feature
  • Tested on your real data or examples
  • API keys kept on the server
  • Cost per active user estimate
  • Stack recommendation and fixed quote
  • 30 days of fixes and questions after handover

Recommended

For teams launching one AI app on the web or on iOS and Android.

$4,600one-time, USD

Get a fixed quote
  • Everything in AI Prototype
  • Web app or one cross-platform mobile app
  • Accounts, onboarding, and admin panel
  • AI calls routed through your backend
  • Usage limits per plan and model fallbacks
  • App store submission and analytics

For companies launching on web, iOS, and Android with paid plans and several AI features.

$9,400one-time, USD

Get a fixed quote
  • Everything in AI App MVP
  • Web, iOS, and Android apps
  • Up to 3 AI features
  • Subscriptions with per-plan AI limits
  • On-device model option for private data
  • Admin console, monitoring, and training

For Agencies

White-Label AI Application Development for Agencies and Studios

You own the client relationship. We build the AI app behind it: the prototype, the cost per user model, the web and mobile builds, and the store release. The app launches under your name, and your team leads every client conversation.

How the partnership works

White label: your client only ever sees your brand

Your clientSees only your brand
You, the agencyOwn the relationship
DeveloperLookBehind your brand
  1. Share the idea

    Send the client's app idea, target users, and any data or budget limits.

    • Client needs
    • You share the details
    • Details received
  2. We prototype and price

    You get a tested AI prototype, cost per user, and a fixed build price.

    • Scope and plan
    • Proposal to resell
    • Your quoteYOUR LOGO
  3. Build and hand off

    We launch the app under your brand, with store listings ready for handover.

    • Done by our team
    • Your brand on it
    • Handed to your clientDone
  • Your client
  • You, the agency
  • DeveloperLook
  1. Share the idea

    Send the client's app idea, target users, and any data or budget limits.

    1. Client needs
    2. You share the details
    3. Details received
  2. We prototype and price

    You get a tested AI prototype, cost per user, and a fixed build price.

    1. Scope and plan
    2. Proposal to resell
    3. Your quoteYOUR LOGO
  3. Build and hand off

    We launch the app under your brand, with store listings ready for handover.

    1. Done by our team
    2. Your brand on it
    3. Handed to your clientDone
  • Stay client-facing

    Your team leads client calls while we build the app.

  • Costs clients understand

    Per-user AI cost estimates make your proposals easy to defend.

  • Proven app patterns

    Reusable backend, login, and AI proxy patterns lower delivery risk.

  • Fixed-price delivery

    Scope, price, and launch date agreed before any build starts.

The Right Technology for Your Project

Technology Stack

We pick the app stack by your platforms and team, keep AI calls on your backend, and choose models by test results on your data.

    • React logoReact Native
    • Flutter logoFlutter
    • Next.js logoNext.js
    • Swift
    • Kotlin
    • Node.js logoNode.js
    • Python logoPython
    • FastAPI
    • Firebase logoFirebase
    • Supabase logoSupabase
    • OpenAI logoOpenAI
    • Anthropic Claude logoAnthropic Claude
    • Google Gemini logoGoogle Gemini
    • Meta Llama logoMeta Llama
    • Stripe logoStripe
    • RevenueCat
    • Expo
    • Sentry
    • Mixpanel
01 / 04

FAQ

Frequently Asked Questions

Straight answers on cost, platforms, choosing a partner, timelines, and ownership for AI app projects.

  • Developing an AI app with us starts at $1,350 for a working AI prototype tested on your data. A launched AI App MVP on the web or cross-platform mobile starts at $4,600, and a Web and Mobile AI App with paid plans starts at $9,400. You get a fixed quote after the prototype or a free discovery call.

  • AI app development cost has two parts: the one-time build and the monthly running cost. The build is the fixed project price. Running costs cover model usage, hosting, storage, and store fees, and they grow with active users. We estimate the running cost per active user during the prototype, so your pricing covers it from day one.

  • Four things drive the cost: the number of platforms, the number of AI features, the data the AI needs, and payments or integrations. A web prototype with one feature sits at the low end. iOS, Android, and web with subscriptions and several AI features sit at the high end. Model choice mainly changes running cost, not build cost.

  • Platform choice changes AI application development cost more than most founders expect. A web app is the cheapest start. React Native or Flutter covers iOS and Android from one codebase for less than two native apps. Fully native Swift and Kotlin apps cost the most, and they pay off mainly for heavy on-device AI or camera work.

  • Most AI apps launch 8 to 12 weeks after kickoff, including the 2 to 3 week prototype. Web and mobile apps with subscriptions and several AI features take 12 to 16 weeks. App store review adds a few days, so we plan launch dates around it and submit early builds for review when that helps.

  • Choose a team that shows you the AI working on your data before quoting the full build. Ask how they protect API keys, what one active user will cost, how they handle app store review, and who owns the code and accounts. A short paid prototype tells you more than any portfolio of polished screenshots.

  • You integrate AI by calling the model through your own backend, not straight from the app. The app sends the user's request to your server, which checks the user's plan, adds context from your database, calls the model, and returns the result. For private or offline features, smaller models can run on the phone with Core ML or LiteRT.

  • AI can write a lot of app code, and no-code AI builders can produce simple apps, but a production app still needs engineers. Accounts, payments, data security, store review, and the cost of AI at scale are where AI-generated apps usually stall. We use AI coding tools ourselves, and a developer reviews and tests every change.

  • Hire an AI app developer in-house when the app is your core business and needs daily work for years. A development company fits when you need design, mobile, backend, and AI skills at once to reach launch. Many founders launch with a team, then hire their first developer to take over the code we hand off.

  • You own everything: the source code, App Store and Google Play listings, cloud accounts, and model provider keys are in your name from the start. We hand over documentation and a cost dashboard. Each project comes with 30 days of fixes and questions after handover, and ongoing support is available as a separate plan.

Saimul IslamFounder & CEO, DeveloperLook

Still have questions?

Send a message or book a call with the team.

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