Heavy data processing
Large file imports, batch computation, stream transformation: work where an interpreted version would take minutes.
BACKEND
Rust
C-level speed without the memory bugs.
Rust is a compiled language built for workloads where speed and reliability genuinely matter. Its distinguishing trait: the compiler proves, before the program even exists, that no memory access is invalid. A whole family of bugs — random crashes, data leaks, corruption — becomes impossible by construction, without a garbage collector slowing execution down.
What it makes possible
- Processing large volumes without memory use drifting upward over time
- Steady response times, free of garbage-collection pauses
- A smaller hosting bill: the same load fits on smaller machines
- Structurally ruling out memory flaws, still one of the main sources of vulnerabilities
Where we reach for it
High-traffic services
A component called thousands of times a minute, where every millisecond and megabyte shows up on the infrastructure bill.
Real-time processing
Telemetry, geolocation, continuous event streams: cases where a slowdown is immediately visible to the user.
When we do not propose it
Rust takes longer to write and the expertise is scarcer, so hiring and maintenance cost more. For a brochure site, a form or a routine back office it is a bad trade — we use TypeScript there instead. We only bring Rust out when a performance or reliability need justifies it with numbers.
Where we stand
We use Rust surgically, on the components where it genuinely changes the outcome, alongside a TypeScript core. Mixing the two in the right places beats writing everything in one language on principle.
A process that is too slow or too expensive?
Describe the bottleneck. We will tell you honestly whether Rust is the answer, or whether the problem lies elsewhere.
Have a bottleneck analysedOther pieces of the stack