Web and mobile, AI-native or plain. Greenfield builds with the same discipline as our AI engineering and AI security work — scoped, shipped, handed over with the keys. We won't sprinkle AI on a CRUD app to fit the brand.
The right architecture for an MVP isn't the right architecture for a regulated multi-tenant platform — and neither is the right answer for a consumer mobile app. Agencies that lead with their preferred framework end up shipping the same architecture for every client. We pick the stack after we understand the product: native iOS when device APIs matter, React Native when they don't, Next.js + Postgres when the surface is web-heavy, AI integrations only where AI actually changes the user experience.
What separates a one-off PoC from a product you can put in front of paying users. Every engagement covers all six.
// product-engineering coverage — every build
// six-of-six. less than that is a demo, not a delivery.
Short iterations with working software at the end of each one. No waterfall theater, no 200-page specs, no "let's circle back to that next quarter."
We pin down what you're building, who it's for, and what "working" looks like. Output is a phased build plan with a stack rationale, not a vague Figma. Where AI is on the critical path, the threat model and eval strategy are part of the spec — not bolted on later.
Incremental delivery against the phased plan. Working software in staging at the end of every sprint, deployed behind feature flags. Code review by senior engineers, including the offensive team for anything user-facing or auth-adjacent. You see progress, not a black box.
We can hand the codebase to your team with runbooks and 90 days of office hours, or stay on for evolution. Either way you own the code, infrastructure, and data. No proprietary platform — everything runs on stacks you can hire for.
Free initial scoping — 30 minutes to tell you what platform fits, whether AI earns a place in it, and what a realistic timeline looks like.