High-performance software is no longer defined by raw speed alone. Modern systems are expected to remain stable under sustained load, handle concurrency without failure, and evolve over time without accumulating hidden risks. As these expectations rise, Rust has become a practical choice for teams that need predictable behavior at scale.
The growing interest in Rust has also reshaped the services market. Rust development companies vary widely in approach, maturity, and focus. Below are seven firms that stand out for their ability to build and maintain high-performance systems where reliability matters as much as throughput.
Why Rust Has Become Central to High-Performance Engineering
The shift toward Rust is closely tied to how performance is measured today. Modern systems are rarely limited by a single bottleneck.
Instead, they fail when small inefficiencies compound under load, concurrency increases, or infrastructure scales unevenly. Languages that rely heavily on runtime checks or manual memory discipline often expose teams to risks that are difficult to predict early.
Rust addresses these challenges at the language level. Its strict compile-time guarantees force engineering decisions to be made explicitly, especially around memory ownership and concurrency. This reduces ambiguity in system behavior and makes performance characteristics easier to reason about over time.
For teams building long-lived, high-throughput systems, this predictability has become as valuable as raw execution speed.
1. Yalantis: Rust Engineering Built for Long-Term Stability
Yalantis works with Rust in contexts where performance, safety, and maintainability must coexist over long lifecycles. Their teams are typically involved when systems are already complex, and failure is not an option.
What sets Yalantis Rust developers apart is their focus on how systems behave after deployment. Instead of optimizing in isolation, they align Rust’s ownership model and concurrency rules with real operational constraints.
Their Rust work often includes:
- Designing performance-critical backend services with predictable latency;
- Gradual replacement of legacy components without disrupting production;
- Careful concurrency modeling to avoid hidden race conditions;
- Long-term codebase stewardship rather than one-off delivery.
This approach makes Yalantis a strong choice for organizations that treat Rust as a foundation, not an experiment.
2. EPAM Systems: Rust at Enterprise Scale
EPAM Systems frequently supports large organizations in introducing Rust into existing ecosystems. These environments tend to include multiple services, teams, and deployment pipelines that cannot be disrupted.
Their experience with Rust development is rooted in scaling discipline rather than rapid adoption. EPAM helps enterprises integrate Rust, where it delivers the most value while maintaining compatibility with existing systems.
Typical focus areas include:
- High-throughput services inside distributed architectures;
- Integration of Rust components with Java, C++, or JVM-based systems;
- Performance optimization for globally distributed platforms;
- Governance and standards for large Rust codebases.
EPAM is often chosen when Rust must operate reliably across organizational boundaries.
3. Thoughtworks: Rust for Sustainable Architecture
Thoughtworks approaches Rust through the lens of long-term system design. Their teams often use the language when architectural clarity and correctness matter more than rapid feature growth.
Rust software development fits naturally into their emphasis on maintainable systems that remain understandable as complexity increases.
Their Rust engagements commonly involve:
- Simplifying overly complex service boundaries;
- Introducing Rust into systems suffering from concurrency issues;
- Enforcing clear ownership and data flow rules;
- Supporting gradual, well-tested architectural change.
Thoughtworks is well-suited for teams that value engineering discipline over short-term gains.
4. Intellias: Performance-Focused Rust in Data and Infrastructure
Intellias applies Rust selectively, usually in components where performance limitations directly affect system reliability. Their teams are often involved in backend platforms, infrastructure tools, and data-heavy services.
Rather than treating Rust as a universal solution, they focus on areas where its guarantees reduce operational risk.
Their Rust development services typically support:
- Low-latency data processing pipelines;
- Resource-efficient backend services;
- Infrastructure components with strict performance constraints;
- Systems where memory predictability matters.
This pragmatic use of Rust helps organizations improve performance without unnecessary rewrites.
5. ScienceSoft: Rust for Reliability-Critical Systems
ScienceSoft works with Rust in environments where failures have serious consequences, including regulated and mission-critical systems. Their approach prioritizes correctness, traceability, and long-term support.
Rust is often used to reduce exposure to memory-related failures that are difficult to detect through testing alone.
Their Rust projects frequently include:
- Backend services with strict reliability requirements;
- Components subject to compliance or audit constraints;
- Systems requiring long-term maintenance stability;
- Controlled use of unsafe code with clear boundaries.
ScienceSoft is a fit for organizations where predictability outweighs speed of change.
6. Andersen: Scaling Rust Teams Without Disruption
Andersen often supports companies that need to expand Rust expertise without slowing active development. Their teams integrate into existing workflows rather than reshaping them.
They are commonly selected when organizations look for Rust developers for hire who can contribute immediately.
Andersen’s Rust work typically covers:
- Extending existing Rust codebases;
- Supporting performance-critical modules;
- Helping internal teams adopt Rust practices;
- Maintaining stability during team scaling.
This makes Andersen suitable for companies balancing growth with delivery pressure.
7. Globant: Rust for Product-Driven Performance
Globant approaches Rust from a product perspective, applying it where performance directly influences user experience. Their teams often work on systems that support real-time or data-intensive features.
Rust is used as a tool to improve responsiveness and reliability rather than as an end goal.
Their Rust projects often focus on:
- Backend services supporting user-facing products;
- High-throughput APIs and event-driven systems;
- Performance optimization tied to business metrics;
- Integration with modern frontend and platform stacks.
Globant is a good match for teams linking technical performance to product outcomes.
Choosing the Right Rust Partner
Selecting a Rust partner is less about language popularity and more about alignment with system goals. High-performance software demands careful trade-offs between safety, speed, and maintainability.
Teams that succeed with Rust tend to work with partners who understand production realities, not just language features.
The companies listed above have demonstrated the ability to apply Rust where it delivers durable value — building systems that remain reliable long after initial development is complete.
