Fast by design.
Reliable by default.
High-performance backends, CLI tools, WebAssembly modules, and systems-level software written in Rust. For when a slow response or a runtime crash isn't an option.
High-performance backends
HTTP servers, async runtimes, and data pipelines in Rust — built for the throughput and latency requirements that make other languages reach for their limits.
CLI tooling
Command-line tools that are fast to start, easy to script, and reliable enough to run in CI. Written in Rust so they ship as single binaries with no runtime dependencies.
WebAssembly modules
Performance-critical logic compiled to WASM and embedded in web apps, edge functions, or native hosts — running at near-native speed anywhere.
Systems integration
FFI bindings, C interop, and native libraries that bring Rust performance into Python, Node.js, or other language ecosystems through well-defined interfaces.
Embedded & real-time systems
Firmware and bare-metal code for constrained environments where memory safety without a garbage collector isn't optional.
Performance auditing
Profiling and optimization of existing systems — identifying bottlenecks, reducing allocations, and improving throughput without a full rewrite.
Rust where it earns
its complexity.
Rust isn't the right tool for everything — and we'll tell you that honestly. When it is the right tool, it's because you need memory safety without GC overhead, performance that doesn't degrade under load, or code that has to compile for multiple targets including embedded or WASM.
We write idiomatic Rust, not a translation of patterns from another language. That means ownership is used as a design tool, not fought against — and the result is code that the compiler enforces rather than code that relies on programmer discipline.
- Architecture document and design rationale
- Production-ready Rust codebase with tests
- Benchmarks and performance validation
- Build and release pipeline
- Documentation and API reference
- Integration examples for consuming systems
When performance is the product.
Most backend systems are built to be good enough — and for most business applications, good enough is fine. Node.js and Python can handle the throughput of the typical SaaS product without breaking a sweat. But there's a class of systems where performance isn't a nice-to-have: high-frequency financial operations, real-time data processing, game servers, embedded systems, and infrastructure that other services depend on. In those contexts, the language and runtime you choose have direct consequences for the system's behavior under load.
We build in Rust for systems where performance and correctness guarantees matter most. Rust's ownership model eliminates entire classes of bugs — memory safety issues, data races, null pointer dereferences — at compile time rather than runtime. That means fewer incidents in production, not just lower latency. For systems that need to be fast and reliable at scale, those guarantees are worth the steeper learning curve.
We also work in Go, which occupies a different point on the trade-off curve — faster to build, excellent concurrency, and well-suited for network services and APIs where the main challenge is handling many concurrent connections efficiently. The right choice depends on your specific performance requirements and the team that will own the system after we hand it off.
Common questions
Everything you need to know before getting started.
Rust is the right choice when you need maximum performance and memory safety guarantees — systems where a bug means data corruption or a crash, or where latency at the 99th percentile matters as much as the median. Go is often a better fit for network services and APIs where development speed and simplicity are more valuable than squeezing out every microsecond.
High-throughput APIs, real-time data processing pipelines, WebSocket servers, custom protocol implementations, database-adjacent tooling, and performance-critical microservices. We also do performance optimization — profiling existing systems and identifying the bottlenecks worth fixing.
Yes. We often engage as a specialized resource alongside a client's existing engineering team — handling the systems-level work that requires deep expertise while the in-house team owns the application layer. We document everything and write code the team can maintain.
Most systems projects are 4–16 weeks of focused development work. We don't do hourly engagements — we scope the deliverable, agree on a fixed price, and deliver it. For ongoing performance work, we offer a monthly retainer.
Yes. If you have a system that's struggling under load and you're not sure where the bottleneck is, we do a profiling engagement — identifying the hot paths, quantifying the impact of each, and giving you a prioritized remediation plan. We can execute the fixes or hand off the plan to your team.
Have a performance problem worth solving?
Tell us the constraint — latency, throughput, memory, or reliability. We'll tell you if Rust is the right answer and how to approach it.