Production Rust for performance-critical systems
Trusted by 100+ innovative teams
What we build
From backend services and data pipelines to WebAssembly, CLI tooling, and C/C++ migration, we ship production Rust that is fast, safe, and maintainable.
Built for teams like yours
How we deliver
Map your workflows, identify high-impact opportunities, and quantify ROI potential.
Build a focused MVP for your highest-impact use case in 4-6 weeks.
Harden, monitor, and expand — leveraging existing infrastructure for each new capability.
4-8 weeks
pilot to production
95%+
milestone adherence
99.3%
SLA stability
Rust Implementation Implementation
Use the same rollout pattern we apply in production programs: architecture review, risk controls, and measurable milestones from pilot to scale.
4-8 weeks
pilot to production timeline
95%+
delivery milestone adherence
99.3%
observed SLA stability in ops programs
Deep dive
Rust adoption in production has matured well past the "interesting language" phase. Cloudflare, Discord, Dropbox, Figma, Microsoft, Mozilla, and many enterprises now run Rust in production paths where Python or Node would once have sufficed. The reasons are practical, not aesthetic:
The cost: Rust is harder to learn than Python or Go. The borrow checker has a real learning curve. We help engineering teams adopt Rust where it earns its complexity, and avoid using it where simpler tools suffice.
Rust earns its complexity for:
Rust is the wrong call when:
The dominant production async stack in Rust:
This is a coherent, production-ready stack. We use it across most Rust backend services we ship.
Rust to WebAssembly is the dominant path for performance-critical client-side code. Use cases we have shipped:
The toolchain (wasm-pack, wasm-bindgen) is mature. The runtime cost (loading WASM, transferring data between JS and WASM) is real and worth understanding before committing to the architecture.
The most common Rust adoption path: a hot path in a Python or Node codebase becomes the bottleneck. Rewriting the whole service in Rust is rarely the right move; rewriting the hot path is.
Patterns we use:
We have shipped all four patterns. The right choice depends on what's bottlenecked and how the rest of the codebase is organized.
A handful of patterns recur across most Rust engagements:
These aren't language tricks; they're the production patterns that make Rust services maintainable.
Rust services in production:
Cost: Rust services typically cost less to run than equivalent JVM services for the same load. The savings compound at scale.
For most engagements, Rust engagements take three primary shapes:
The team learning curve matters. We don't ship Rust and walk away — every engagement includes patterns, internal documentation, and code review enough that the client team can extend and maintain what we built.
Rust adopted well delivers years of low-incident, performant, predictable production behavior. Rust adopted poorly produces a service that's hard to extend by anyone but the original author. The difference is a matter of where and how it's used, not the language itself.
We handle the full lifecycle of Rust development — architecture design, implementation, testing, deployment, and knowledge transfer. Whether you're building a new service in Rust, migrating from C++ or Java, or need Rust expertise to augment your team, we deliver production-ready code and train your engineers along the way.
A focused microservice rewrite typically takes 4-8 weeks. Larger systems benefit from incremental migration using FFI boundaries — rewriting hot paths first while keeping the existing codebase running. We help you prioritize based on performance impact and risk.
Yes. Every engagement includes knowledge transfer. We pair-program with your developers, conduct code reviews, and provide Rust-specific workshops covering ownership, async patterns, error handling, and testing strategies. Our goal is to leave your team self-sufficient in Rust.
Rust services typically use 5-10x less memory than Java and 3-5x less than Node.js for equivalent workloads. This translates to direct infrastructure savings — fewer containers, smaller instance types, lower cloud bills. For high-scale services, the savings often pay for the Rust development investment within months.
Absolutely. Rust integrates seamlessly via REST/gRPC APIs as a standalone service, through FFI for C-compatible interfaces, via PyO3 for Python extensions, via Neon for Node.js native modules, and through JNI for Java integration. You don't need to rewrite everything — Rust fits into your existing architecture.
Explore related services, insights, case studies, and planning tools for your next implementation step.
Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.
Case Studies
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002