Remote-first product studio, working with teams across time zones
We build the AI assistant inside your mobile app — chat that holds context, automation that fires on its own, and sync that follows the user between devices.
A chat assistant that keeps the thread: memory of the conversation, your own knowledge sources, and a written fallback for the moments the model is not sure.
We turn the taps a user repeats every day into triggers and routines — scheduled, event-based or asked for in plain language inside the chat.
Ranking built on the signals your app already collects, with a cold-start path for day-one users and an A/B harness so changes are measured, not argued about.
Conversation history, settings and saved prompts move between phone, tablet and desktop. Offline messages queue and send themselves when signal returns.
Drop the assistant into an app you already shipped — native UI on both platforms, your design tokens, no web view bolted to the side.
Prompt and log retention controls, regional storage options, and deletion on request — written down before launch, not improvised during review.
How the work looks on a normal week.
Pick the one closest to your situation — we scope the exact shape on the first call.
A working AI assistant app in users' hands, not a demo video.
For apps where users repeat the same five actions every day.
Personalization that can be measured and rolled back.
Your app stays yours; the assistant moves in.
Scope, timeline and cost are quoted after the scoping call, against your requirements.
You describe what the assistant should do and who uses it. We come back with the questions that decide the build, and a written scope.
An installable build with the real conversation flow — early enough to change your mind cheaply.
Two-week cycles, a test set of real prompts, and a quality score we both look at before anything ships.
Store submission, release monitoring, and the repo, prompts and runbook handed to your team — documented, not verbal.
They pushed back on half our feature list in the first call and were right about most of it. The assistant shipped smaller and got used more.
The evaluation set was the part we did not know we needed. We could finally see whether a prompt change made answers better or just different.
Integration into our existing app took longer than we hoped, but the sync and offline behaviour has been quiet ever since. Handover docs were genuinely usable.
Two lines about the app and the job you want the AI to take over is enough to start.
Thanks — someone from the team will get in touch shortly to set up the scoping call.
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