Engineering

Everything we build, built to ship.

Thirteen disciplines, one team, one bar. No framework tourism, no vendor lock-in fan fiction. An opinionated stack and people who've shipped it before.

Coverage

The disciplines we actually ship against.

Not a menu. A commitment: these are the surfaces we'll go deep on when you hand us a problem.

Agentic systems

Tool-using, multi-step agents. MCP-native architecture. They finish what they start.

Context engineering

The context window as a first-class architecture surface. Not an afterthought prompt.

Model post-training

Fine-tuning, distillation, preference alignment. A model shaped to your domain and budget.

Evals & AI observability

Traces, ground-truth regression, coding-agent harnesses. The layer that makes AI shippable.

Full-stack product engineering

Web, mobile, APIs. Opinionated stack choices, typed end-to-end, tested where it matters.

Platform engineering

Internal developer platforms and self-service infra so every team ships without rebuilding the stack.

Cloud architecture & infrastructure

Multi-region, IaC-first. Designed for agent-speed workloads, not human-centric load patterns.

Security engineering

AppSec, threat modeling, zero-trust identity. Trust boundaries built for agents that can act.

AI governance & compliance

Policy-as-code, data lineage, bias audits, audit logs. EU AI Act and Colorado-ready.

Data engineering & pipelines

The plumbing that keeps models grounded. Clean data in, reliable retrieval out.

Design systems & frontend craft

Component architectures that scale across products without becoming a design tax.

Developer tooling

CLIs, SDKs, MCP servers. The tools engineers reach for because someone made them right.

Performance & scaling

Latency budgets, throughput ceilings, cost floors. Cost-per-token is now a product dimension.

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