Your industry, already mapped.
Eight fields where the platform problems repeat: the same systems, the same constraints, the same failure modes worth designing out early. When your field is one of them, the build starts past the part everyone learns the hard way.
Why depth in a field shows up in the build.
Most of the work falls inside these eight fields. Not because the rest is off the table, but because depth compounds in the build itself: the second subscription platform ships faster than the first, and the next automation engagement starts from patterns already proven in production. When the platform problem below looks like yours, that is the part you are hiring.
Client names are kept private throughout, with references available on request. Each field is described by the shape of its platform problem and what building and running the system involves, not by a named account. Each one carries an anonymized story showing the shape of the work: the problem, what gets built, and the outcome the system is built to produce.
Financial services & fintech
Money platforms that stay correct, fast, and auditable at once.
Money platforms live or die on being correct, fast, and auditable at the same time. The work runs on live market and transaction feeds, ledgers that have to reconcile to the cent, and content kept honest against the data behind it. Compliance is built in as a platform feature, not bolted on as a disclaimer. When the numbers are the product, the system that carries them is built like it matters, and run the same way.
Media & subscriptions
The platform under a paying audience, owned outright.
Publishers and paid-audience businesses run on subscriptions, paywalls, member billing, content pipelines, and distribution across channels. The recurring problem wears different clothes every time: an audience that pays lives on infrastructure the business does not own. The work is building the platform under the audience: billing that handles the payment methods people actually use, content that flows without being hand-carried, and member systems the team can run without calling anyone.
A subscription business, live and still running.
A media company had the audience but no platform under it. We built the subscription, billing, and member system, launched it, trained their team, and stayed on to run it.
12,000+ members migrated, none lost at switchoverRead the storySomeone to run it, day to day.
A live platform with paying users had no one whose actual job was keeping it healthy. We took over the running of it: monitoring, incidents, updates, dashboards. Twelve months later, customers had not seen a single outage.
Twelve months without a customer-visible outageRead the storyHealthtech & wellness
Consumer health that earns the daily open, and is trusted with the data.
Fitness, mindfulness, nutrition, and care products run on sensitive personal data and on earning the daily open. The platform problem is trust under load: personalisation that feels worth it, subscription and content mechanics that keep people coming back, and privacy treated as a liability to minimise rather than a feature to market. Data is kept to what the product genuinely needs, behaviour signals are handled carefully, and the design assumes the data will be audited one day.
Technology & SaaS
The system under the product, fast and affordable as usage climbs.
Software products carry the platform problem in its purest form: the thing has to stay fast, reliable, and affordable to run as real usage arrives. The work is the system under the product, sign-up and billing, multi-tenant data, the parts that wobble at peak, and AI features where they earn their place rather than as a label. Models get routed by task, evaluated against real outcomes, and rolled back when an update underperforms, with cost and speed kept visible.
Travel & hospitality
Booking and availability that stay correct under every spike.
Booking, availability, and guest-facing platforms run on integrations that have to agree in real time: inventory, payments, channel managers, and the systems a property or operator already depends on. The platform problem is consistency under demand spikes, where a double booking or a stale price costs trust directly. The work is the booking and operations layer underneath, built so availability stays correct, payments clear cleanly, and the team runs it without a developer on standby.
E-commerce & retail
The commerce platform that keeps stock, orders, and checkout in step.
Online retail and direct-to-consumer (D2C) businesses run on the unglamorous machinery behind the storefront: catalogue, checkout, inventory, fulfilment, and the integrations between the store and everything it feeds. The platform problem is that the parts are bought separately and never quite agree, so stock, orders, and numbers drift. The work is the commerce platform that holds it together: a checkout that converts, inventory that reconciles, and the connective tissue that keeps the back office honest as volume grows.
Edtech & digital learning
Enrolment, content, and progress, coherent as the audience grows.
Courses, cohorts, and learning products run on content, access, and progress, all of which have to hold up as the audience grows. The platform problem is keeping the experience coherent across enrolment, payments, content delivery, and the record of what each learner has done, without it becoming a stack of disconnected tools. The work is the learning platform underneath: enrolment and billing, content that flows on a schedule, and progress the team and the learner can both trust.
Manufacturing & supply chain
One current view of orders, stock, and production.
Manufacturers and supply-chain operators run on data trapped in spreadsheets, email, and machines that do not talk to each other: orders, inventory, production status, and supplier records, each correct alone and wrong the moment they meet. The platform problem is visibility, knowing the true state of stock, production, and fulfilment without reconstructing it by hand. The work is the operations layer that connects what already exists: pipelines, dashboards, and automation that turn scattered records into one current picture.
However you start, a project runs the same way.
We map the problem before we quote a price. Every stage ends in something written down, shared with you, and agreed: the scope, the cost, and the trade-offs on the table before work starts.
Diagnose
We map the real problem before quoting a number. You leave with a written summary of what we found and the shape we would propose, yours to keep either way.
Design
We settle the plan, the stack, and the trade-offs on paper first, so scope and cost are agreed before any building starts.
Deliver
We build in stages on a named, open stack, putting working software in front of you early and often instead of one reveal at the end.
Run
Optional, never assumed. We run it on your behalf, watch it in production, and catch most issues before your customers ever notice.
An easy yes, by design.
- Two numbers, up front. One to build it, one fixed monthly number to run it. Both quoted before any work starts, with no open-ended hourly billing. The monthly line is optional.
- When it breaks, it is our cost. On a fixed price, a problem is ours to fix, not a line on your next invoice. The incentive runs the right way, so it gets built not to break.
- The stack is yours. Open tooling, your accounts, full documentation. No proprietary layer to keep paying for, and nothing that holds you hostage if you ever leave.
- A straight answer on fit. Tell us your situation, whatever your size, and we will say plainly whether we are the right fit.
