AI

AI products that work in production

Mobile1X builds AI applications, agents, retrieval-augmented generation (RAG) systems and AI integrations for mobile and web products. Our own app Notes is a private, local-first AI notes app live on Google Play and the App Store. AI projects typically start at $5,000 and are scoped after a discovery call.

The problem

Where projects go wrong.

A demo that answers well is not the same as a feature people can rely on. The gap is usually engineering, not the model.

  • The model has no access to your real data, so answers are generic or wrong.
  • Sensitive user data is sent to the cloud without a deliberate decision about privacy.
  • Latency and cost are fine for ten users and unsustainable for ten thousand.
  • Nobody has defined how to tell whether the AI feature is actually working.

Our approach

How we solve it.

We design the AI feature as part of the whole system: where data lives, what runs on the device and what runs in the cloud, how answers are grounded in your content, and how quality is measured. That is what separates an AI feature from an AI demo.

What we build

  • AI applications and features inside mobile and web products
  • AI agents and workflow automation
  • RAG: answers grounded in your documents and data
  • AI integration into an existing app or platform
  • On-device AI versus cloud AI, chosen for privacy, cost and latency
  • AI chatbots, and lead-scoring and qualification systems for sales teams

Technology

What it’s built with.

Patterns

  • Agents
  • RAG
  • Chatbots
  • Workflow automation
  • On-device AI

Around the model

  • Data pipelines
  • Evaluation
  • Privacy controls
  • Cost and latency monitoring

Product surface

  • Android (Kotlin, Java)
  • iOS (Swift, Objective-C)
  • Web (React JS)

Process

From first call to launch.

  1. Discover

    A 30-minute call on your goal, users, budget and timeline. You leave knowing whether we are a fit.

  2. Architect

    We choose the stack and system design, and write down scope, risks and a quote before any build starts.

  3. Build

    We ship in working increments so you can see and use the product as it grows.

  4. Test

    Functional, device and performance testing, plus security review of authentication and data handling.

  5. Launch

    Store submission, release configuration, analytics and monitoring, so launch day is not a first run.

  6. Improve

    We track what users actually do and keep improving speed, reliability and conversion.

Pricing

What it costs.

Product and platform builds typically range from $5,000 to $100,000+ depending on scope. Standalone performance audits start at $500. Every project gets a written scope and quote before work starts.

Proof

Related work.

FAQ

AI Development: common questions.

Can Mobile1X add AI to an existing mobile app?

Yes. AI integration into existing products is part of what we do. We start by reviewing your app and the data the feature would use, then scope what is practical, what it costs and how success will be measured.

How much does AI development cost?

AI projects with Mobile1X typically start at $5,000, and larger platforms go to $100,000+. Cost depends on the data involved, the integrations, whether the feature runs on-device or in the cloud, and how much evaluation and hardening it needs.

What is RAG and do I need it?

RAG (retrieval-augmented generation) lets an AI system answer from your own documents and data instead of only its training. You need it when answers must reflect your content, such as support knowledge, product catalogues or internal documents.

Do you build privacy-first AI?

Yes. Our Notes app is local-first with encryption, and we apply the same approach to client work: decide deliberately what data leaves the device, and why.

Read more

Guides.

Talk to an engineer

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