Low-Bandwidth Optimisation

Anything where the connection is slow, intermittent, expensive or high-latency: rural and remote sites, vehicles and fleets on satellite or mobile links, field teams collecting data, venues with congested Wi-Fi, and emerging-market users on metered data. Most modern software silently assumes fast urban internet; we design for the opposite.

The application keeps working when the connection does not. Data is stored locally first, the interface never blocks on the network, and changes are synchronised when connectivity returns — with conflict resolution rules agreed in advance. Users finish their work; the system reconciles later.

With compression and differential transfer (sending only what changed), progressive loading with content prioritisation, adaptive quality based on detected network conditions, and edge caching with local-first storage. The result is lower data costs for you and your users and a consistent experience across networks.

Most projects are retrofits. We start with network profiling to measure how the current app behaves under constrained conditions, then redesign the data layer and transfer strategy behind the existing interface. APIs are made tolerant of high latency with retry and resilience patterns rather than replaced.

Field testing is a formal stage of our process. We simulate degraded networks (latency, packet loss, bandwidth caps) in the lab, then validate on real devices in the target environment before sign-off. No data loss under connection drops is a hard acceptance criterion, not a hope.