Mobile Engineering
Mobile apps that keep working in the field — even when the network doesn't.
The operational problem
The people furthest from a desk generate the information everyone else needs, and they are the ones asked to write it on paper and key it in later.
The mobile app that was meant to solve this assumes a connection, so the moment it is used somewhere real — a site, a rig, a rural school — it stops being a tool and becomes an obstacle.
By the time the data arrives, it has been transcribed twice and nobody trusts it.
What we build here
The actual classes of system.
- Field-data capture
- Inspection and audit apps
- Offline-first operational apps
- Workforce and dispatch tools
- Parent, customer, and member apps
- Device and sensor companions
Our position
How we approach it
We treat the network as an unreliable dependency, not a given. That is a design decision made on day one, not a feature added later — offline-first changes the data model, the conflict rules, and the interface, and it cannot be retrofitted onto an app that assumed a live server. If your people work where coverage is bad, that constraint outranks every other one.
We refuse to ship an app that silently loses work. If a submission cannot go now, the person must be able to see that it is queued, see when it goes, and trust both. An app that pretends to have saved something is worse than one that admits it hasn't.
We are unsentimental about going native. Flutter carries most operational apps well, and we use it where it fits. Where a system needs the platform's own capabilities — background location, specific hardware, deep OS integration — we build native and say so, rather than fighting a cross-platform abstraction and billing you for the fight.
Capabilities
What that means in practice.
- Android
- Native Android for systems that need the platform directly — background services, hardware access, and devices that live in a vehicle or a pocket on a site.
- iOS
- Native iOS where the platform's constraints and capabilities are load-bearing rather than incidental.
- Flutter
- One codebase across both platforms, with a shared design system. Our default when an app is operational rather than platform-specific.
- Cross-platform
- A deliberate split: shared business logic, platform-specific where the platform actually differs. Decided per system, with the reasoning written down.
- Platform & Language
- .NET · TypeScript
- Mobile
- Flutter · Android · iOS
- Data
- PostgreSQL
- Protocols & Integration
- REST · gRPC · OAuth 2.0
Where you’ve seen this
We have already built this, at depth.
These are our own platforms. They exist because the problem kept recurring — and they are the most detailed engineering we can show you without a client’s permission.
Is this the thing that cannot go wrong?
Tell us what you are building and what it costs when it fails. You will speak to an engineer, and we will tell you honestly whether we are the right people for it.