ProductiOS · Android · Web
Daily skill game
One codebase to iOS, Android and web. Both stores, server-side daily draw, scheduled push.
Consumer apps
AI development for consumer apps
Consumer AI features break in ways a demo never shows: latency over a cellular connection, token cost per daily active user, outputs that get an app flagged in store review, and a model update that quietly changes behavior for a million people. We treat each of those as an engineering requirement from the first sprint.
We build the app and the AI layer together. One TypeScript codebase across iOS, Android and web, streaming responses, on-device models where they fit, a server path where they don't, an eval harness that runs before every release, and per-feature cost tracking so unit economics are known before launch.
Talk to an engineer →Scope in one week. You own the repo from commit one.
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.
Problems we solve in consumer apps
- AI responses take four seconds on mobile and users leave before the first token.
- Inference cost per active user is unknown until the bill arrives.
- A model or prompt change ships with no regression test and breaks a core flow.
- Store review rejects the build over generated content or missing moderation.
- Chat history, memory and user data sit in a schema nobody designed for deletion requests.
- The web, iOS and Android versions of the same AI feature behave differently.
What we build
Systems we build for consumer apps
01
Native AI apps from one codebase
React Native and Expo for iOS and Android, Next.js for web, shared product logic and a shared model client so a feature ships once.
02
Streaming chat and assistants
Token streaming, tool calls, structured output and graceful fallback when the model times out or a request is refused.
03
On-device and hybrid inference
Small models on device for latency and privacy, routed to a hosted model when the task needs it, with the routing rule tested.
04
Moderation and safety layer
Input and output classifiers, blocked-topic rules and human review queues sized to pass store review and keep support volume down.
05
Release evals
A fixed test set of real user prompts scored on every build, so a prompt edit or model swap cannot regress silently.
06
Cost and latency telemetry
Per-feature token spend, p95 latency and cache hit rate on a dashboard, with budgets that alert before they are breached.
Shipped in this industry
Running in production
Client names stay under NDA. The shapes do not.
ProductiOS · Android
Hardware companion
Native mobile for a physical-product use case. Offline-first data model, both stores.
Consumer apps questions
Something else? Email t@moher.ai and an engineer will answer it.
Can you add AI features to an app we already have?
Yes. We audit the codebase, the release pipeline and the data model first, then add the AI layer behind a feature flag so it can ship to a slice of users before everyone.
Do you handle App Store and Google Play submission?
Yes, including privacy labels, review correspondence for AI content, phased release and versioned rollout. We have shipped through both stores.
Which models do you use?
Whatever passes the eval at the lowest cost and latency for the task. That is often a mix: a frontier model for hard requests and a small or on-device model for the rest.
How do you handle user data and privacy rules?
We design for data minimisation, regional storage and deletion on request, map the data flows for GDPR, CCPA and store privacy labels, and work inside your legal and privacy review. We do not claim certifications on your behalf.
What does a first engagement look like?
One AI feature taken to production on all target surfaces, with the eval harness, cost tracking and moderation in place. Usually six to ten weeks.
Tell us what you need built
Four quick questions and an email. An engineer reads every brief and replies within one business day with next steps, and a written scope follows within a week.
- Written scope and price within a week
- Production deploy by week three
- Your repo and cloud from the first commit
- Senior engineers only, no account managers
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.