What we
build.
Four areas of technical depth, deployed through whichever engagement model matches the shape of the problem.
AI Automation
Custom LLM integration, predictive modeling, and intelligent workflow orchestration designed to eliminate manual overhead.
- LLM
- PYTHON
- AUTOML
Backend Architecture
High-throughput, low-latency microservices and distributed systems engineered for maximum resilience and scale.
- GO
- RUST
- KUBERNETES
Frontend Engineering
Performant client-side applications with complex state management, real-time data synchronization, and rigorous accessibility.
- REACT
- TYPESCRIPT
- WASM
Precision UI/UX
Data-dense interfaces, specialized dashboards, and design systems crafted with obsessive attention to typographic detail.
- FIGMA
- DESIGN SYSTEMS
- MOTION
- 01
Embedded team
A senior engineer or small pod joins your team directly — same standups, same repo, same accountability. Best when the work is ongoing and context needs to compound.
- 02
Fixed-scope build
A defined problem, a defined outcome, a fixed timeline. Best for a discrete system that needs to exist and then needs to be handed off cleanly.
- 03
Technical audit
We read the system, the incidents, and the roadmap, then tell you plainly where it will break first and what to do about it before it does.
Scope
We diagnose the actual constraint together before any code is written — most delays trace back to solving the wrong problem precisely.
Build
Direct access to the engineers doing the work. No account managers relaying context, no status decks — a shared repo and a running system.
Ship
Working software lands continuously, not at the end. You see it running in something close to production from the first week.
Tell us what you’re building.
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