Capabilities

From infrastructure to product — one team that has carried each in production.

We assemble the squad around the problem rather than selling you whatever bench happens to be free. Every engagement is run by the architect who scoped it.

AI / Autonomous Systems

We ship GenAI and autonomous systems that have to work in production: retrieval-augmented generation with evaluated accuracy, agents that recover from failure, and ML pipelines with lineage, monitoring and rollback. Models are versioned, prompts are tested, and latency/cost are measured before anyone calls it ready. Where the vendor API is the risk, we build the eval harness first and the feature second.

PyTorch
LangChain
Vector DBs
Ray

Agent loop — every step measured, every action reversible

Cloud Platform & Kubernetes

We build the platform your product runs on: Kubernetes foundations, infrastructure-as-code, and the paved path that lets product teams ship without waiting on ops. Multi-tenant isolation, autoscaling that respects budgets, and guardrails that make the secure path the easy path. Every cluster ships with the dashboards and alerts the on-call engineer actually wants at 3am.

Kubernetes
Terraform
AWS
GCP

Zero-Trust Cybersecurity

Threat modelling where the system already exists: identity and entitlement redesign, secrets and key management, build-pipeline and supply-chain controls, and closing the findings we raised ourselves. Every control is built to be auditable and to survive a regulator asking for a specific decision from eighteen months ago.

SIEM
IAM
OWASP
Zero-Trust

Product Engineering

We run the whole product slice: discovery that respects the domain, architecture that survives the second feature, and frontend/backend built by the same seniors who will be on call for it. Design systems, API contracts and release trains are built alongside the product, not after it.

React
Next.js
GraphQL
TypeScript

Release path — a slice in production by week four

Data Platforms & Analytics

Data that other teams bet their roadmaps on: ingestion that expects late and duplicate data, modelling others can actually query, and freshness/correctness guarantees stated explicitly and monitored as first-class signals. Streaming where it is justified, batch where it is sufficient, and a warehouse that does not require a specialist to ask a basic question.

Snowflake
dbt
Airflow
Kafka

Dedicated Engineering Squads

A small senior squad embedded in your team and your tools, not a black-box delivery. The architect who scoped the work writes the code, joins the standup and stays through cutover. No bench, no handover to juniors after the contract is signed.

Agile
CI/CD
DevOps

How an engagement is staffed — and how it is not

DevOps, SRE & Observability

Pipelines that prove the build, progressive delivery behind flags, and observability that tells you why — traces, metrics and logs correlated by default. On-call is designed as a product: runbooks, error budgets and the dashboards the responder wants at 3am, not the ones that look good in a demo.

GitHub Actions
Prometheus
Grafana
OpenTelemetry

Legacy Modernization & Migration

The system that pays the bills cannot be switched off to be fixed. We strangle the monolith route by route, build the anti-corruption layer in front, move traffic behind flags and retire the old system only when nothing calls it. Data migrated with dual-writes and verification, not hope.

Strangler Fig
Event Sourcing
PostgreSQL
Kubernetes

API & Microservices

APIs as a product: versioned, documented and governed with OpenAPI, and the event backbone that lets teams move independently. Boundaries are chosen against real team topology and failure domains, not diagram aesthetics. Contract testing keeps the graph honest as the number of services grows.

gRPC
Kafka
OpenAPI
AsyncAPI

Quality & Test Automation

Quality built into the pipeline: unit, integration and contract tests that run on every commit, synthetic and load tests against the real topology, and the performance budget enforced in CI. The goal is a pipeline that says no before a customer does.

Playwright
k6
Pact
Cypress

Mobile & Cross-Platform

Mobile where it matters: native performance, offline-first where the network is not guaranteed, and the shared core extracted deliberately rather than prematurely. Release to the stores is part of the pipeline, not a separate project that slips every cycle.

Swift
Kotlin
React Native
Flutter

UX / UI & Design Systems

Design that ships: tokens, components and accessibility tested in CI rather than audited at the end. WCAG conformance is a build-time constraint, and the marketing site, product and docs share the same system so the brand does not drift with every feature.

Figma
Storybook
WCAG
Design Tokens

Not sure which

Start with the outcome, not the service list.

Not sure which of these you need?

Describe the outcome you are after. A principal architect will tell you what it actually takes — including when the answer is that you do not need us.

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