A product house before a service provider — everything below already runs in production across our own 18+ apps.
AI where it genuinely improves the product — never a bolt-on gimmick. We pick the right model, ground it in your data, control cost and latency, and ship an interface people trust.
Native iOS and Android, from first sketch to live storefront.
Marketing sites and web apps that stay fast as traffic grows.
The engine room — live data that cannot go stale.
Design that earns trust; growth that compounds.
A call and a written brief: the problem, the users, the constraints, and what success looks like.
Interface and architecture agreed before code, so there are no expensive surprises later.
Short cycles, each ending with something you can open and try. No silent months.
Store submission, monitoring and iteration — we maintain what we ship.
Four buckets: assistants that answer from your own documents (RAG), document and image understanding, in-product content generation, and back-office automation. If a simpler solution beats AI, we say so.
Yes — it is our most common request. We integrate with your existing codebase and data; a short technical review leads to a scoped proposal.
We are model-agnostic: usually Anthropic Claude or OpenAI GPT for language, smaller or on-device models where privacy demands it — benchmarked on your real data first.
Yes — 13 apps on the App Store and 6 on Google Play under our own name. Swift/SwiftUI, Kotlin, and React Native where sharing code makes sense.
Yes. We take a small number of client projects alongside our own products, so every engagement gets senior attention.
We quote per project. An AI feature inside an existing product: weeks. A full app from scratch: months. Send a brief and we reply with a realistic range.
Send a short brief — what you want to build, roughly when, and any constraints. We reply with honest next steps, scope and timing.