Venzpire
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AI apps for iOS, Android and the web

We design and build mobile and web apps with AI at their core: assistants that talk, cameras that understand, feeds that personalize themselves, shipped to the App Store and Google Play.

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The short answer

Venzpire builds AI-powered mobile and web apps in 4–14 weeks, starting from $5,000. We build in Flutter for iOS and Android from one codebase, or native Kotlin and Swift when needed, with AI features such as voice assistants, chat, image recognition and personalization, and we handle App Store and Google Play release.

What you get

Apps people keep on their home screen. We have shipped mobile apps since 2020, and Venktesh built a short-video app that grew past 10,000 monthly users before that.

Led by Venktesh RBuilt with Nithin and Deepak, the same senior team from first call to launch.

Investment
From $5,000, fixed quote after discovery
Timeline
4–14 weeks
Best for
Consumer and field-team apps
You own
All code, IP and cloud accounts from day one
After launch
30 days of support included
Apply for a strategy call How we price
  • Mobile product designNative-feeling iOS and Android interfaces, designed for one-handed use, offline moments and slow networks.
  • Cross-platform or native buildFlutter for one codebase across iOS and Android, or Kotlin and Swift where platform features demand it.
  • AI featuresVoice in and out with speech models, chat assistants, camera and image understanding, recommendations and smart notifications.
  • Backend and adminAPIs, databases, an admin or publisher dashboard, push notifications and analytics.
  • Store releaseApp Store and Google Play submission, review handling, crash reporting and staged rollouts.
  • Web companionA responsive web app or progressive web app when your users also need the product on desktop.

Apps we’ve shipped

  • An AI news app for iOS and Android with voice summaries and personalized audio bulletins.
  • Hospital safety inspection apps with on-site mobile workflows and a web console.
  • An AI task assistant delivered as an installable web app with real push notifications.
  • Social, video, education, e-commerce and Android TV apps for clients in 10+ countries.

What it costs

Typical Venzpire price ranges. Every project starts with a $1,500 discovery sprint that ends in a fixed quote; the sprint fee is credited to the build.

ScopeTypical investmentTimeline
Discovery sprint: UX prototype, architecture, fixed quote$1,500 fixed1–2 weeks
AI web app or PWA$5,000 – $20,0004–8 weeks
iOS and Android app with AI features and backend$20,000 – $45,0008–12 weeks
Mobile plus web platform with admin and analyticsFrom $45,00012–14+ weeks

AI model usage and hosting are billed to your own accounts at cost. How we price

How the project runs

  1. Week 1–2 · $1,500 fixed

    Discovery sprint

    Users, data, model choice and cost per user, pressure-tested. You keep the prototype, architecture and fixed quote.

  2. Weeks 3–10

    Design & build

    A staging link in week one, a live demo every week and a short written update every day.

  3. Before launch

    Evaluate & harden

    Tested on real examples, with guardrails, cost limits and a security review.

  4. Launch & after

    Ship & improve

    Deployed to your cloud and the app stores, with 30 days of support included.

Related work

SL8 Inspect — hospital safety inspections screenshot

SL8 Inspect — hospital safety inspections

An inspection system for Abmiro Solutions in Ireland that brings every safety-critical hospital door, across multiple buildings, into one auditable workflow.

The brief
Hospital door inspections were tracked across buildings and paperwork, which made overdue checks and compliance evidence hard to find.
What we built
Inspectors work from an Android app on site, logging each door's construction type, fire rating and checklist against its hospital and building. Administrators track progress, overdue inspections and issues from a web console, outstanding work becomes a purchase order automatically, and a full audit trail supports compliance reviews.
  • Ireland
  • Healthcare compliance
  • Android + web console
“Professional, timely delivery, and domain expert. Highly recommended.”
rohankabmiro, Abmiro Solutions · verified Fiverr review

Read the SL8 Inspect case study

Knewz — AI news app for iOS, Android and web screenshot

Knewz — AI news app for iOS, Android and web

A personalized, audio-first news app for a US client: AI voice summaries, morning-to-night audio bulletins, local news by location and a publisher dashboard with analytics.

The brief
Readers wanted to keep up with the news on the go, and the client wanted one product for readers on iOS and Android plus the publishers feeding it.
What we built
Built in Flutter for iOS and Android with a web publisher panel, RSS import, moderation tools and behaviour-based notifications. An OpenAI-backed summarizer condenses articles for an audio reader, and separate admin and publisher APIs manage categories, articles and accounts. Shipped to both app stores in about three months.
  • United States
  • ~3 months
  • Flutter iOS + Android
  • AI voice

Read the Knewz case study

Questions about AI app development

How much does it cost to build an AI app?

With Venzpire, an AI web app or progressive web app costs $5,000–$20,000, and an iOS and Android app with AI features and a backend costs $20,000–$45,000. Larger platforms with web, mobile, admin and analytics start at $45,000. Model usage and hosting are billed to your own accounts.

Flutter or native: which should I choose?

Flutter is the right default for most AI apps: one codebase for iOS and Android, near-native performance and faster iteration. We recommend native Kotlin or Swift when the app depends heavily on platform-specific features such as advanced camera pipelines, widgets or deep OS integrations.

Do you publish the app to the App Store and Google Play?

Yes. We prepare store listings, handle submission and review feedback, and release under your own developer accounts so you own the listing from day one.

Can AI features work offline on the phone?

Some can. Smaller on-device models handle tasks like transcription, classification and simple image recognition offline, while heavier reasoning runs in the cloud. We decide per feature based on privacy, speed and cost.

Guides on AI app development

Have an AI product worth building properly?

Tell us what you are building. Venktesh reads every application himself and replies within one business day.

Apply for a strategy call