Three ecosystems.
Built for different problems.
We work with Java, Elixir, and Blockchain because they solve genuinely different problems. We don't pick a stack for every project — we match the technology to what the system actually needs to do.
Core ecosystems
The three stacks we know deeply, with the specific patterns and tooling we use day-to-day.
Java / Spring Boot
Our go-to for systems with complex domain logic, strict transactional guarantees, or large teams working on the same codebase. The JVM ecosystem gives us mature tooling for observability, testing, and long-term maintenance.
- check_circleProject Reactor — reactive, non-blocking I/O
- check_circleVirtual Threads for high-concurrency workloads
- check_circleGraalVM Native Image for fast startup
Elixir / Erlang VM
The right choice when you need to handle many concurrent connections, build real-time features, or want a supervision model that recovers from failures without manual intervention.
- check_circleOTP supervision trees for fault isolation
- check_circleGenServer and GenStage for workload distribution
- check_circlePhoenix LiveView for real-time interfaces
Blockchain & Web3
Smart contract development and the off-chain infrastructure that keeps protocols running. We bring distributed systems rigor to on-chain design and the backend services DeFi applications depend on.
- check_circleSolidity and Rust/Anchor smart contracts
- check_circleThe Graph subgraphs and custom on-chain indexers
- check_circleKeeper bots and cross-chain bridge infrastructure
Patterns we apply regularly
Not every project needs all of these. We apply them when the problem calls for it, not to add complexity.
Event Sourcing
Store state as a sequence of events instead of overwriting it. Useful when auditability, replayability, or temporal queries matter to the business.
CQRS
Separate the write path from the read path when they have fundamentally different scaling or consistency needs. Avoids the trade-offs of a single model trying to do everything.
Saga pattern
Manage long-running transactions across services without distributed locks. Keeps services loosely coupled while handling partial failures explicitly.
Circuit Breaker
Prevent cascading failures when a downstream service degrades. Standard in any multi-service system where one slow dependency shouldn't take down the rest.
Infrastructure we work with
Cloud providers
Not sure which stack fits your problem?
Tell us what you're building and what's breaking. We'll give you a straight answer on approach before any commitment.
Talk to an engineer