Industries

Built for the sector you're in — not adapted from someone else's template.

Every industry has its own compliance requirements, user expectations, workflow patterns and technical constraints. Software that ignores those realities ships fast and fails quietly. We've built for healthcare, education, real estate, retail and insurance long enough to know the difference.

Domain · fluent

Context.
Compliance.

Operating across19 years · 5 sectors
01 · The premise

Why industry context changes everything.

Building software is the same process regardless of the sector. But building the right software for a specific sector is not.

We've spent nineteen years building across these five sectors. That context shows up in every project: the questions we ask in discovery, the compliance considerations we raise before development starts, and the domain-specific requirements that developers without sector experience would simply miss.

A nurse, a student in an exam, a leasing agent and a claims adjuster all use software differently. We design for the actual person, in their actual environment, under their actual constraints.

5Regulated sectors
19yDomain experience
0Retrofitted compliance
02 · House rules

Four things that show up on every engagement.

Not aspirational. Operational. You will see every one of them from the first session onward.

01

Compliance built into architecture

HIPAA, FERPA, PCI-DSS and sector-specific standards are designed into the architecture before development starts. Never retrofitted halfway through a build.

02

Domain-fluent teams

Our engineers and designers have worked in each sector long enough to understand the workflows, terminology and real users they are building for.

03

Sector-specific integrations

Every industry runs on specific platforms and data standards. We know them: HL7/FHIR, MLS feeds, EHR systems, POS platforms and insurance data formats.

04

Proven in production

Real production systems used by real organisations at scale. Not pilot programmes built to look good in a presentation.

03 · Core sectors

Five sectors. One standard of excellence.

Each one is a domain we have worked in long enough to know its constraints, its compliance requirements, and the real problems its organisations face.

Sector · 01

Healthcare

Healthcare software fails when it ignores the conditions real clinicians work under: time pressure, audit trails, fragmented patient data and regulations that punish guesswork. We build systems that fit the clinical workflow, integrate with the EHR, and treat compliance as architecture rather than a checkbox.

What we solve
  • Manual clinical workflows that slow care delivery and frustrate staff
  • Disconnected patient data spread across systems that cannot talk to each other
  • Patient-facing apps that create friction instead of improving the care experience
  • Compliance requirements that most development teams get partially wrong
AI DiagnosticsEHRHIPAAHL7FHIRHITECH
Sector · 02

Education

Education platforms have to serve students, teachers, administrators and parents simultaneously — often under load that spikes brutally during exam periods. We build LMS, assessment and learning analytics platforms that scale, personalise and stay accessible to every user.

What we solve
  • Learning platforms that don't adapt to individual student progress or needs
  • Manual administrative processes pulling educators away from actual teaching
  • Assessment platforms that break under peak examination load
  • Student data fragmented across tools that were never designed to connect
LMSSmart EvaluationFERPACOPPAAdaptive AIWCAG 2.1
Sector · 03

Real Estate

Real estate runs on MLS feeds, transaction documents, lead pipelines and property data that lives in a dozen disconnected systems. We unify it: AI lead scoring, listing intelligence, transaction workflows and property data pipelines that turn manual processes into measurable velocity.

What we solve
  • Manual lead qualification processes that waste agent time on low-quality leads
  • Property data scattered across MLS feeds and disconnected internal platforms
  • Paper-heavy transaction workflows that slow deal velocity
  • Listing management that doesn't scale as portfolio size grows
AI Lead ScoringMLSProperty IntelligenceFair Housing ActGDPR / CCPA
Sector · 04

Retail

Retail breaks at the seams: between online and in-store inventory, between checkout and fulfilment, between the recommendation engine and the customer's actual taste. We connect those seams with commerce platforms, demand forecasting and POS integrations that behave like one system.

What we solve
  • Disconnected online and in-store inventory causing oversells and fulfilment errors
  • Checkout experiences driving cart abandonment before the transaction completes
  • Personalisation that recommends the same products every user already bought
  • Supply-chain visibility gaps causing reactive rather than proactive planning
Demand Forecasting AIPOSCommerce PlatformsGDPR / CCPAPCI-DSS
Sector · 05

Insurance

Insurance is a data and decision business with rigid legacy systems sitting in the middle. We modernise claims, underwriting and policy administration with adaptive fraud detection, risk scoring and configurable policy engines — without disturbing the regulatory perimeter.

What we solve
  • Manual claims processes that take days where automation could take minutes
  • Fraud detection relying on static rules rather than adaptive intelligence
  • Policy administration systems too rigid to configure new products quickly
  • Customer portals that generate more support calls than they deflect
Claims Automation AIFraud DetectionRisk ScoringSOC 2ISO 27001
04 · Our approach

How sector knowledge shapes every build.

Industry experience is not a marketing credential. It is an operational one. Here is specifically how it changes what we do on a project compared to a generalist team working in the same space for the first time.

01

We learn the domain before we write the brief

Every industry engagement starts with structured discovery into how the sector actually operates — not just what the client tells us they need. We understand the regulations, the workflows and the terminology before we design anything.

02

Compliance is architecture, not an afterthought

HIPAA, FERPA, PCI-DSS. These shape how we architect the system: where data lives, how it moves, who can access it. Getting compliance wrong after the build costs exponentially more than designing for it from the start.

03

We design for real users in real conditions

A nurse using a clinical tool under time pressure behaves differently than a developer testing a prototype in optimal conditions. A student in an exam behaves differently from a shopper browsing. We design for the actual person in their actual environment.

04

We connect to the systems each sector runs on

Healthcare runs on EHR systems. Real estate runs on MLS feeds. Retail runs on POS and inventory platforms. These integrations are not optional and they are not simple. We know them because we have built them before.

05 · Standards

Five pillars. Zero exceptions.

Every project. Every client. Every time. No matter the scope, these standards stay identical — they are inclusions, not optional extras.

Compliance architecture

Regulatory requirements designed into the system architecture before a line of code is written. Never discovered halfway through a build and retrofitted.

Data classification

Every data type mapped, classified by sensitivity and handled according to the regulation that governs it. PHI, PII and financial data treated differently from the start.

Audit trail by default

Every regulated system needs to record what happened, when and who did it. We build audit logging into the core architecture — not a module added before go-live.

Vendor & dependency review

Every third-party integration and dependency reviewed for compliance implications before it is included in a regulated system. No assumptions about vendor certifications.

Pen-test before launch

Every regulated application goes through penetration testing before any real user data enters production. We find the vulnerabilities before the wrong person does.

06 · Results

Concrete outcomes from real production systems.

Numbers measured in production environments serving real users — not pilot programmes built to look good in a deck.

Outcome · 01
75%

Reduction in manual processing time for a leading US pharmacy benefit manager through intelligent automation

Outcome · 02
0%

Transcription errors achieved on a clinical audio processing system after deploying an AI audio engine in production

Outcome · 03
40%

Fewer errors and significantly higher operational efficiency after rebuilding a patient engagement platform

Outcome · 01
10×

Improvement in student engagement rate after a full rebuild of a digital learning and content delivery platform

Outcome · 02
60%

Reduction in manual assessment processing time through a smart evaluation engine handling submissions at scale

Outcome · 03
99.9%

Platform uptime sustained through peak examination season after infrastructure redesign and load testing

Outcome · 01
30%

Faster sales cycle for one of America's largest telecom companies after building their dealer financing system

Outcome · 02
50%

Reduction in time spent on manual lead qualification through an AI scoring model integrated into the CRM workflow

Outcome · 03
6

Previously disconnected property data sources unified into a single real-time data pipeline for a property intelligence platform

Outcome · 01
30%

Increase in sales operations efficiency through a custom commerce and dealer management platform built from scratch

Outcome · 02
40%

Fewer operational errors after replacing manual order management workflows with an automated processing system

Outcome · 03

Improvement in inventory accuracy through a real-time POS and warehouse management system integration

Outcome · 01
70%

Reduction in manual claims processing effort through an AI-driven automation engine deployed across a claims operations team

Outcome · 02
94%

Accuracy rate achieved by a fraud detection model running on live claims data within the first 90 days of deployment

Outcome · 03
Days → Hours

Policy administration processing time cut from days to hours after rebuilding a legacy policy management system

Your sector shapes every decision we make in a build. Let's start with yours.

Book a free 30-minute call. We will understand your specific industry context and tell you what a solution designed for your environment actually looks like.