Custom Software
Engineering
We build software that doesn't break under pressure. Whether you're replacing a fragile legacy system, scaling past your current ceiling, or need an expert team to own a build end-to-end — we deliver production-grade systems built to outlast your roadmap.
Capabilities
Core Competency Matrix
Backend Systems
Distributed actor models, event-driven architecture, and transactional integrity at scale.
- Rust / Go / Node.js
- PostgreSQL / Redis
- Kafka Streams
Frontend Interfaces
Type-safe reactive frameworks focused on rendering performance and data density.
- React / Next.js
- Tailwind / Shadcn
- WASM Integration
API Economy
Federated GraphQL layers and gRPC protocols for high-throughput machine communication.
- GraphQL / Apollo
- gRPC / Protobuf
- OpenAPI Compliance
Cloud Native
Immutable infrastructure as code and containerized orchestration across providers.
- Terraform / Pulumi
- Kubernetes / Docker
- AWS / Azure / GCP
How We Build
Our Delivery Model
We learn your constraints before writing a single line. A joint architecture review surfaces risks, dependencies, and critical decisions upfront — preventing the expensive rework that kills most projects.
Two-week sprint cadence with live demos after every cycle. You see working software every 14 days, not a finished product 6 months from now — giving you control at every stage.
Full documentation, runbooks, and a 90-day warranty period on every engagement. You own every line of code we ship — no lock-in, no dependency on us to stay operational.
# Process
# Quality Gates
# Ownership & Protection
Transparency by Default
You See Everything We Do
No black-box development. Every commit, test run, and deployment is logged and shared in real time. You always know exactly where your project stands.
Q2 2025: Capacity Open
Currently onboarding 1 new client. Typical engagement starts within 2 weeks of scoping.
System Telemetry Dashboard
12,490 assertions validated in current build
Average deploys per engineer per sprint
Mean response time to automated vuln detection
Case Study :: Energy Infrastructure
From Breaking Daily to Zero Incidents
A national energy provider was losing revenue every time their telemetry platform buckled under peak load. 100M+ IoT connections, no tolerance for data loss, and a 6-month deadline.
What They Had
A monolithic ingestion service that crashed under concurrent event bursts. Engineering team was patching fires instead of building features.
What We Built
A distributed Elixir/OTP cluster with a Rust-based ingestion layer. Horizontally scalable, self-healing, and fully handed off with documentation in week 14.
Node: OG-GRID-01
Cluster: us-east-1a
Not sure what you need? Start with a free architecture review.
Bring us your current system, your planned build, or just a problem you can't solve. A senior StatorLabs engineer will spend 90 minutes with your team — no sales pitch, no obligation. Just an honest technical assessment.