Nobody buys a stack. They buy the thing that stops costing them money.
Every engagement is scoped around a result you can measure, priced against that result rather than an hourly estimate, and built by the same senior engineer who took your first call.
A list of capabilities is a menu, and menus make people leave. So read this one differently: find the sentence that describes your week.
Each one below leads with the tell: the thing you would already have noticed if it applied to you. Then what you actually receive, and roughly how long it takes. If none of them fit, the discovery call is free and ends with a real answer either way.
01 / 12
Product Engineering
Your prototype works, but you would not put your name on the codebase behind it.
Your prototype works, but you would not put your name on the codebase behind it.
01
Product Engineering
The problem
An idea or prototype that needs to become a real, lasting product.
The outcome
A maintainable codebase your team can build on for years.
From zero to shipped. We take products from concept to production with architecture designed to outlast the first version.
What you get
Typical: 6 to 10 weeks
+Production codebase with tests and CI
+Architecture decision record
+Deploy pipeline and environments
+Handover walkthrough
02
AI Integration
You have watched three AI demos and still cannot say which one earns its cost.
02
AI Integration
The problem
AI potential everywhere, but no clear path to a feature people use.
The outcome
Practical AI woven into your product where it earns its keep.
Copilots, automation, search, and agents — integrated into your existing product without the science-fair overhead.
What you get
Typical: 3 to 8 weeks
+A shipped AI feature inside your product
+Evaluation harness with real cases
+Cost and latency budget per request
+Guardrails and fallback behaviour
03
Web Applications
Traffic is growing and the app gets slower every month instead of faster.
03
Web Applications
The problem
A web product that has to be fast, accessible, and real.
The outcome
Production-grade applications built for genuine usage.
Fast, accessible web applications engineered for real users and real load — not just a convincing demo.
What you get
Typical: 4 to 10 weeks
+Production web application
+Performance and accessibility baseline
+Error tracking and alerting
+Documented data model
04
Mobile Applications
Your users keep asking for an app and you keep quoting two separate teams.
04
Mobile Applications
The problem
Reach on iOS and Android without doubling the team.
The outcome
Native-feeling apps from a single, shared codebase.
iOS and Android apps that feel native, shipped to both stores without the usual delays.
What you get
Typical: 8 to 14 weeks
+iOS and Android builds from one codebase
+App Store and Play Store submission
+Push notification setup
+Release pipeline
05
Commerce
Your busiest day of the year is the day you are least confident the site will hold.
05
Commerce
The problem
A storefront that has to convert and survive peak traffic.
The outcome
Checkout infrastructure that holds up on your busiest day.
Shopify and headless storefronts engineered to convert, on infrastructure that does not fold under load on your busiest day.
What you get
Typical: 4 to 9 weeks
+Storefront and checkout flow
+Payment gateway integration
+Load-tested infrastructure
+Analytics on the funnel
06
Automation
Someone on your team spends a day a week moving data between tools by hand.
06
Automation
The problem
Manual workflows quietly eating your team's every week.
The outcome
Systems that simply run, returning hours to your people.
The repetitive work draining your team, replaced with reliable systems that run themselves: CRM and lead routing, GoHighLevel and Zapier pipelines, scheduled jobs, and webhook plumbing that does not silently fail.
What you get
Typical: 2 to 6 weeks
+Automated workflow in production
+Failure alerting and retry logic
+Runbook for the people who own it
+Before and after time audit
07
UI/UX Design
Your product does the job, and it still loses demos to worse software that looks better.
07
UI/UX Design
The problem
A product that works but looks and feels like an afterthought.
The outcome
Interfaces that make the product easier to sell and easier to use.
From wireframes to a finished design system — interfaces built around how people actually use the product, not just how it's easiest to build.
What you get
Typical: 3 to 8 weeks
+Design system in Figma and in code
+Key screens designed and built
+Component library your team can extend
+Usability pass on the main flow
08
SEO & Marketing
You rank behind competitors whose product is plainly worse than yours.
08
SEO & Marketing
The problem
A great product nobody can find, ranking behind competitors with worse software.
The outcome
A site built to be found, not just built to look good.
Technical SEO, structured data, and content strategy baked into the build from day one, not a separate agency handoff after launch.
What you get
Typical: 3 to 6 weeks, then ongoing
+Technical SEO audit and fixes
+Structured data and schema markup
+Information architecture mapped to search intent
+Search Console baseline and reporting
09
Agentic AI Systems
You want the AI to actually do the task, and you cannot say what happens when it is wrong at 3am.
09
Agentic AI Systems
The problem
You have an AI that answers questions, when what the business needs is one that does the work.
The outcome
Agents that take real actions inside your own systems, with a human still holding the keys.
Tool-calling agents wired into your APIs, database, inbox and ticketing, with scoped permissions, an audit trail on every action, and a human approval gate on anything destructive. Built so you can swap the underlying model without rewriting the agent.
What you get
Typical: 5 to 10 weeks
+Tool-calling agent scoped to your systems
+Risk-tiered permission model
+Audit trail on every action
+Human approval gate on destructive steps
10
Cloud & AWS Infrastructure
Nobody on the team can rebuild your production environment without asking one specific person.
10
Cloud & AWS Infrastructure
The problem
A product that outgrew its first hosting decision and now costs more than it earns in a quiet month.
The outcome
Infrastructure that scales with load, shrinks with the bill, and can be rebuilt from code.
AWS architecture, containerised services, infrastructure as code, CI/CD that runs the same way for a preview branch and for production, plus logging, metrics and alerting configured before launch rather than after the first incident.
What you get
Typical: 3 to 7 weeks
+Infrastructure defined as code
+CI/CD running identically for preview and production
+Logging, metrics and alerting
+Cost review with every line explained
11
Shopify & Payment Gateways
Your checkout converts worse than your traffic deserves, and nobody can tell you where it leaks.
11
Shopify & Payment Gateways
The problem
A checkout that quietly drops customers, or a gateway that will not do what your business model needs.
The outcome
A checkout that takes money reliably, in every market and currency you sell in.
Custom Shopify themes, sections and subscription selling plans, plus gateway work across Stripe, PayPal, Square and regional processors, including the webhook, retry and reconciliation plumbing that decides whether a failed payment is recovered or lost.
What you get
Typical: 3 to 7 weeks
+Custom Shopify theme and sections
+Subscription selling plans configured
+Gateway integration with webhook handling
+Reconciliation and failed-payment recovery
12
Workflow & Data Automation
Your tools do not talk, so someone is employed as the bridge between them.
12
Workflow & Data Automation
The problem
Data sitting in five tools that never talk, keeping someone employed as a copy-paste bridge.
The outcome
One pipeline your team stops thinking about because it simply runs.
Event-driven integrations between the tools you already pay for: CRM, billing, spreadsheets, email and ops dashboards, with queues, retries, idempotency and alerting so a failure surfaces instead of disappearing.
What you get
Typical: 2 to 6 weeks
+Event-driven integration pipeline
+Queues with retries and idempotency
+Alerting when a job silently fails
+Documentation for the owning team
/ Not a stock animation
The design work is done here too, not bought from a template.
Motion, interface and identity work happen in the same room as the engineering, which is why the handoff between them costs you nothing. This is real client motion design, not a demo reel.
/ Where to start
Three shapes most engagements take.
You do not have to assemble your own package from the list above. Point at one of these and we will tell you on the call whether it is the right one.
Discovery Sprint
You have a problem and no scope yet
One week to turn a vague idea into something you can actually price, staff and argue about. You keep the output whether or not you build with us.
Answered here so you do not have to spend a call on them.
No team is equally strong everywhere, and we will tell you on the call which of these is a core strength versus which we would scope more conservatively. Product engineering, web applications, AI integration and automation are where most of our shipped work sits. If your project's centre of gravity is somewhere we are weaker, we would rather say so than learn it on your budget.
Yes, and most engagements are exactly that. The list is not a bundle you have to buy. It exists because the boundaries between these areas are where projects usually break, and it helps to know the same team can cross them without a handoff.
Against an outcome, not an hour. Hours reward slowness. After discovery you get a fixed number for a defined scope, and scope changes get priced in writing when they come up rather than absorbed quietly and billed as a surprise at the end.
That is the normal state and it is what the discovery call is for. Describe the business problem rather than the technical solution, and mapping it is our job, not yours.
No. The discovery call is with the engineer who would build it. If we are not a fit you will hear that on the first call rather than after three rounds of proposals.
Both, and existing codebases are most of what we do. Stepping into a running project, adding a feature, fixing performance or integrating AI is a normal engagement, not an exception we grudgingly accept.
Still not sure which one you need?
Describe the business problem rather than the technical solution. Mapping it to one of the twelve is our job, and the call is free whether or not we end up working together.