Skip to content
Industries

Sectors we have actually shipped in

We are generalist engineers, not a vertical specialist — but domain context matters, so these are the sectors where we already understand the constraints. Every one below is backed by delivered work, not a claim.

Finance & Fintech

3 projects

Money software fails differently. A double-charged customer or a reconciliation that silently drifts costs more than downtime, so idempotency, audit trails and correctness under retry are design requirements rather than refinements.

What goes wrong

  • Reconciliation drift between billing, ledger and CRM
  • Retried operations charging or paying twice
  • Audit trails assembled after the fact instead of produced as a by-product
  • Reporting that cannot be tied back to source transactions

What we build

  • Invoicing and payment platforms with multi-tenant billing
  • Market and analytics dashboards over live data feeds
  • Document extraction from invoices and statements into finance systems
  • Automated reconciliation with drift detection and alerting

Retail & E-commerce

3 projects

In retail, page speed is revenue and product discovery is the difference between a sale and a bounce. Most stores we audit are slowed by the apps installed to improve them.

What goes wrong

  • Storefronts slowed by accumulated third-party scripts
  • Search and filtering that cannot cope with the catalogue
  • Orders re-keyed by hand into fulfilment and accounting
  • Support volume dominated by order-status questions

What we build

  • Shopify and Magento storefronts, custom themes and apps
  • Semantic product search that matches how customers actually phrase things
  • Order, inventory and fulfilment integrations
  • AI support agents handling delivery, returns and status enquiries

Healthcare & Wellness

3 projects

Healthcare is where the self-hosted AI question stops being philosophical. Patient information frequently cannot be sent to a third-party model at all, which shapes the architecture from the first decision onward.

What goes wrong

  • Data that cannot leave the organisation, ruling out hosted AI services
  • Clinical and administrative information split across systems
  • Manual intake, triage and appointment administration
  • Accessibility requirements that are assumed rather than verified

What we build

  • Patient-facing mobile and web applications
  • Self-hosted AI assistants running entirely on your own infrastructure
  • Appointment booking, reminders and voice-based scheduling
  • WCAG 2.1 AA accessibility verified in CI rather than claimed

Membership & Professional Services

4 projects

Member and professional organisations run on rules — tiers, entitlements, approvals and renewals — that generic tools express badly and spreadsheets express dangerously.

What goes wrong

  • Membership tiers and entitlements maintained by hand
  • Renewals and lapses tracked in spreadsheets
  • Precedent and policy documents that exist but cannot be found
  • Approval chains conducted over email with no audit trail

What we build

  • Membership platforms with subscription-driven access control
  • Member self-service portals and document exchange
  • RAG assistants answering from your own policy and precedent library
  • Approval workflows with delegation, timeouts and full audit trails

Media, Content & Education

3 projects

Content businesses live or die on discovery. That is a technical problem more often than an editorial one — pages crawlers cannot see, and search that fails on how people actually phrase a question.

What goes wrong

  • Content that never gets indexed because it renders client-side
  • Search that misses the right article on a differently-worded query
  • Editorial teams blocked behind a developer for every change
  • Large archives with no structured metadata

What we build

  • Server-rendered publishing platforms with structured data
  • Headless CMS setups that give editors real control
  • Semantic search across large content and course libraries
  • Learning platforms with progress tracking and assessment

B2B & Business Operations

5 projects

This is where automation pays back fastest, because the work is high volume, entirely manual, and nobody enjoys it. It is also where mapping the process usually reveals the expensive step is not the one people complain about.

What goes wrong

  • Staff acting as the integration layer between systems
  • Support queues dominated by questions already answered in writing
  • Leads sitting unqualified while a prospect contacts a competitor
  • Documents re-keyed from PDF into finance and operations systems

What we build

  • Self-hosted n8n workflows connecting CRM, helpdesk, billing and inbox
  • AI support agents on WhatsApp and web chat, grounded in your documentation
  • Lead capture, enrichment, scoring and routing
  • Invoice and contract extraction with confidence scoring and human review

Not seeing your sector?

It usually matters less than it looks. The problems we solve — processes running on spreadsheets, support queues full of answered questions, documents re-keyed by hand, systems that do not talk to each other — recur across every industry we have worked in. Tell us the process that is costing you the most hours and we will tell you honestly whether we are the right team for it.