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Capabilities · Cloud-native · Web · Mobile · Database · Automation

Engineering

End-to-end software for systems that must not fail.

Manifesto / Engineering

Engineering practice · est. 2018

Software is mostly written for the happy path. We aren’t paid to do that.

The engagements that justify a studio rather than a contractor are systems where the cost of failure is real — a claim that doesn’t process, a trade that doesn’t reconcile, a patient who doesn’t get treated. We engineer for those.

That means explicit error budgets, instrumented call paths, runbooks before launch and drills before downtime. The work compounds: every system we ship makes the next one cheaper to operate. We don’t ship into someone else’s pager.

  • TypeScript
  • Go
  • Rust
  • Python
  • Kotlin
  • Swift
  • Java
  • AWS
  • GCP
  • Azure
  • Kubernetes
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The pillars

What we engineer — and how we hold the line.

Each pillar is staffed by the same senior engineers, from first architecture review to production.

01 / 06

Cloud-native architecture

Containers, Kubernetes and multi-region from day one. The cost of going there later is paid once — we’d rather not pay it twice.

  • K8s
  • Multi-region
  • 12-Factor

02 / 06

Polyglot platforms

TypeScript and Python for product surfaces; Go and Rust for the parts that must not stall. Language is a tool, not a religion.

  • TS
  • Python
  • Go
  • Rust

03 / 06

Observability before launch

Every call path instrumented, every SLO defined, every alert routed before the first user. If you can’t see it, you can’t operate it.

  • OTel
  • SLOs
  • Tracing

04 / 06

Continuous delivery

Daily deploys, canary releases and instant rollback, with feature flags as a discipline. Release cadence is a forcing function.

  • Canary
  • GitOps
  • Rollback

05 / 06

Resilience as a feature

Chaos engineering, runbooks and disaster-recovery drills. We don’t trust uptime; we engineer it.

  • Chaos
  • Runbooks
  • Game days

06 / 06

Standards-mapped delivery

Nine engineering practices mapped sub-clause by sub-clause to NIST SP 800-53, NIST SSDF, ISO/IEC 25010, ISO/IEC/IEEE 29119 and SLSA.

  • NIST SSDF
  • ISO 25010
  • SLSA

The lattice

Four layers, engineered end to end.

We engineer every layer of the stack so the rest of it stays out of the way — web, mobile, data and the delivery pipeline behind them.

  1. 01

    Application

    React and Next.js product surfaces, type-safe API boundaries and business-rule engines with explicit invariants.

  2. 02

    Runtime

    Services in TypeScript, Go and Rust with every call path instrumented and every SLO defined before launch.

  3. 03

    Platform

    Kubernetes, GitOps and continuous delivery — canary releases, feature flags and instant rollback.

  4. 04

    Infrastructure

    Multi-region cloud on AWS, GCP and Azure, with DR drills and chaos game days on a schedule.

Posture

Receipts,
not slides.

Figures from the practice dossier. Client identities are held back by default and available under NDA.

99.99%
Production uptime · 2025
47
Deploys per week · cross-engagement
6
Cloud regions · active
4+
Languages · per typical platform

“Full-stack rebuild of an insurer’s claims platform. MTTR cut from 4 hours to 12 minutes through an instrumented service mesh and canary deploys.”

Engagement · redacted sample · client identity available under NDA

Frameworks, standards & certifications

  • Twelve-Factor App
  • SRE
  • Continuous Delivery
  • Chaos Engineering
  • GitOps
  • NIST SSDF
  • SLSA v1.0

Discover more

Four practices, one studio. Keep exploring.

The same engineers sit behind every capability — no siloed teams handing work over walls.

01

Data & Intelligence

Enterprise data and AI, shipped as intelligence — engineered to run in production.

Open the dossier

03

Platform Implementations

Implementations led by engineers who built these platforms.

Open the dossier