Services

Disciplines, delivered by senior engineers.

We don't generalise; we go deep. Each service is led by an architect who has shipped this kind of system many times before.

Where most engagements start · From $5,000 · 2 weeks

Diagnosis Sprint

A two-week paid engagement that produces a written architectural diagnosis you can act on with us — or anyone else. The fee credits fully toward the build if we go on to engage. It's the cheapest way to find out whether we're the right team for the work.

Start with a diagnosis

AI Systems & Automation

Scoped after the Diagnosis Sprint

Production-grade AI agents and intelligent automation. Engineered for safety, evaluated for accuracy, observable in operation.

What we do
  • Multi-agent workflows and retrieval-augmented systems
  • Document processing, knowledge retrieval, support automation
  • Built with evaluation harnesses and human-in-the-loop approval
  • Compliance-aware: SOC 2, HIPAA-friendly, EU data residency
  • Production-deployed — not demo-ware
Typically built with
PythonOpenAIAnthropicAzure OpenAILangChain

Cloud Infrastructure & DevOps

Scoped after the Diagnosis Sprint

Cloud architecture, infrastructure-as-code, CI/CD, and observability. From single-VM startups to multi-region production.

What we do
  • AWS, GCP, Azure, and Oracle Cloud architecture and migration
  • Infrastructure-as-code, CI/CD, and observability setup
  • Cost optimisation, security hardening, disaster recovery
  • Compliance-aware: SOC 2, HIPAA, GDPR
  • Runbooks and handover so your team can operate without us
Typically built with
AWSGCPAzureOracle CloudCloudflare

Stewardship Retainer

Scoped after the Diagnosis Sprint

Ongoing partnership after the build ships. Maintenance, features, on-call coverage, and quarterly architecture reviews.

What we do
  • 10-40 engineering hours per month, allocated to your priorities
  • Monitoring, incident response, on-call coverage
  • Quarterly architecture reviews and technical roadmap updates
  • Single point of contact who knows your system
  • Many partnerships span multiple years
Typically built with
PythonNode.jsPostgreSQLRedisAWS

API & Integration Engineering

Scoped after the Diagnosis Sprint

Connect existing systems together. Custom REST/GraphQL APIs, webhook handlers, and the glue code that makes operations work.

What we do
  • Stripe, Salesforce, HubSpot, Xero, QuickBooks, Slack integrations
  • Custom REST/GraphQL APIs and webhook handlers
  • Eliminate manual data shuffling between systems
  • Smaller scope, faster turnaround — easy entry point
  • Documentation, monitoring, and reliability built in
Typically built with
PythonNode.jsFastAPIRESTGraphQL

Custom Software Platform

Scoped after the Diagnosis Sprint

End-to-end web platforms — admin dashboards, customer portals, multi-tenant SaaS, and bespoke line-of-business applications.

What we do
  • Bespoke web platforms that scale with your business
  • Modernise legacy estates without a full rewrite
  • Multi-tenant SaaS, customer portals, internal operations tools
  • Healthcare, finance, education, retail, NGOs, government, automotive
  • Discovery-first engagement: written diagnosis before quoting
Typically built with
Next.jsReactVueSvelteNode.js

Mobile Applications

Scoped after the Diagnosis Sprint

iOS, Android, and cross-platform mobile apps. From customer-facing brands to field operations tools.

What we do
  • Cross-platform apps via React Native or Flutter
  • Native Swift or Kotlin where performance demands it
  • Push notifications, offline-first sync, deep linking
  • App store deployment and post-launch support included
  • Customer apps, field ops, healthcare, education, internal tooling
Typically built with
React NativeFlutterSwiftKotlinFirebase
Frequently asked

Questions we get before we start.

Honest answers to the things prospective clients ask us most often.

Where do most engagements start?

With a Diagnosis Sprint: a two-week paid engagement, from $5,000, that produces a written architectural diagnosis you can act on with us or anyone else. The exact fee is scoped during kickoff. If we go on to build, the sprint fee credits fully toward the engagement.

Who actually does the work?

Senior architects, engineers and designers. We do not staff juniors on client work. The person who scopes the engagement is the person who leads it.

How is an engagement priced after the Diagnosis Sprint?

After the Sprint, the build is bespoke and scoped to your stack — with a written engagement plan and price agreed before any build work begins. The Sprint fee credits in full against the build.

How long do engagements typically run?

Anywhere from a few weeks to several years. Many of our clients have worked with us for four or more years — we treat the system as a living asset and stay on as stewards once it ships.

Where are you based, and which time zones do you cover?

Remote and global. The bench spans four time zones; we work in whichever overlaps best with your team.

What if it turns out we're not the right team for the work?

The diagnosis is yours either way. It's deliberately written so another team could pick it up and execute. The Diagnosis Sprint is the cheapest way to find out whether we're a fit, with no obligation to continue.

Should I hire a contract AI engineer or engage an AI studio?

A contractor wins if you already have an engineering manager directing them and a stable written spec. A studio wins if you need the spec written for you, want fixed-price delivery, and can't afford the four-to-eight weeks a contractor needs to ramp on your stack. Most SMBs are in the second bucket and don't realise it until two months in.

Who should I hire to build AI for my dental practice, HVAC business, accounting firm, or other SMB vertical?

Look for four things: senior-only delivery (no junior off-shoring), named integrations with your actual software stack (not generic "we use AI"), fixed-price after a written diagnosis, and a single point of contact who can scope and sign. Vertical-specialist boutiques beat generalist agencies when your software stack is non-standard — which it almost always is at the SMB level.

How do I add AI to my business without an engineering team?

Start with a written diagnosis of your stack and workflows before any build. The common mistake is buying a tool first, then trying to retrofit a process around it. The right shape is: someone senior maps your current process, identifies the two or three highest-leverage automations, and scopes a fixed-price build against your existing software. That's what the Diagnosis Sprint does.

How do I automate intake for a service business?

Three layers — capture (form, chat, voice), classify (qualifying logic and routing), respond (sending the right next-step to the right inbox). The cheap win is layer 3; most businesses gain a week of response time just by automating the reply. The compounding win is layer 2 — getting the right lead to the right person at the right urgency. Layer 1 is usually fine already; don't rebuild what works.

What are the alternatives to hiring an in-house AI engineer?

Four real options. A fractional CTO is good for governance, weak on delivery. A contract engineer is good for delivery, weak on direction. An AI integrations studio handles both — more expensive per hour, but lower total cost on a defined scope. A no-code automation shop is cheap but caps at simple workflows. Most SMBs over-index on cost per hour and under-index on total time to working system.

When is AI not worth it for a small business?

Three real disqualifiers we apply in every Diagnosis Sprint. First: the workflow happens fewer than 20 times a week — automation overhead never pays back at lower volumes. Second: the input data is unstructured and unfixable — garbage in, garbage out, no model fixes a data problem. Third: the human judgment in the loop is the actual product you're selling — automating it commoditises what you charge for. If any of these is true, we tell you and we don't take the engagement.

Begin

Not sure which discipline you need?

Most engagements span two or three. Tell us the problem; we'll tell you what we'd recommend.