


Notes
A private, local-first AI notes app for Android and iOS.
AI
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
A demo that answers well is not the same as a feature people can rely on. The gap is usually engineering, not the model.
Our approach
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.
Technology
Process
A 30-minute call on your goal, users, budget and timeline. You leave knowing whether we are a fit.
We choose the stack and system design, and write down scope, risks and a quote before any build starts.
We ship in working increments so you can see and use the product as it grows.
Functional, device and performance testing, plus security review of authentication and data handling.
Store submission, release configuration, analytics and monitoring, so launch day is not a first run.
We track what users actually do and keep improving speed, reliability and conversion.
Pricing
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



A private, local-first AI notes app for Android and iOS.
FAQ
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.
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.
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.
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
What drives mobile app development cost, what a fair quote includes, and how to cut scope without hurting the product.
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