Product-grade apps with AI built in.

Product-grade means the parts users never see are done properly too: authentication, payments, push notifications, offline behavior, analytics, crash reporting and a release pipeline that lets you ship updates without drama. We build iOS and Android apps with that foundation in place, then handle App Store and Google Play submission and keep improving the app after launch.

AppVerse is based in Gurugram, India, with no US office. We agree a daily overlap window inside your Eastern or Central working hours, so reviews and decisions happen in your day, and you see a working build at a demo every week. Proposals, contracts and invoices are in US dollars.

• iOS and Android apps from one plan
• Auth, payments, push notifications and offline mode
• Analytics, crash reporting and automated releases
• App Store and Google Play submission and updates

For startups, the goal is usually an MVP that proves demand without cutting corners that cost you later. We scope the smallest version that tests your core idea, build it on an architecture that can grow, and set up analytics so you know what users actually do. You launch with a product, not a prototype you will have to throw away.

For established businesses, the work is often a customer app, a field app for staff or a rebuild of an app that has become hard to change. We start by understanding the systems it must connect to, such as your CRM, ERP, payments and identity provider, and plan the build in milestones you can review.

Many products need a web app alongside the mobile one: a SaaS dashboard, a customer portal, a marketplace or an internal admin console. We build these with Next.js and a typed back end, including multi-tenant accounts, role-based access, subscription billing with providers such as Stripe, and integrations into the tools your customers already use.

Web and mobile share one back end and one design system, so features ship to every platform together. Products we built and run in production include iSales, an AI-powered sales CRM, and M361, an SEO intelligence platform, so we know what it takes to keep a platform fast and reliable after launch day.

AI should have a job in the app, not a badge on the store listing. Typical features include an assistant that answers from your own content, smart search, summaries, voice input, photo and document capture, and recommendations. Each gets a clear purpose, a fallback when the model is unsure and an easy way for users to correct it.

We decide where each model runs. Small on-device models can classify or transcribe offline and keep data on the phone, while larger models such as Claude, GPT or Gemini run behind your own API, with guardrails, caching and spend limits. You can switch providers later without shipping a new app version.

• Assistants that answer from your content, with sources
• Voice input, smart search and document capture
• Model calls behind your API, never keys in the app
• Spend limits and monitoring per user

We don't publish a price list, because effort depends on screens, user roles, integrations, platforms and AI features. After a free 20-minute scoping call, you get a written proposal that splits the build into milestones, each with a fixed price in USD, clear deliverables and a timeline. Nothing starts until you have agreed to it.

The same senior engineers who scope the app build it and support it after launch. Code is in your repositories from the first commit and hosting runs in your cloud. We recommend publishing under your own store accounts too, so you keep full control and can bring development in-house whenever you choose.