› HEALTHCARE

Healthcare software, engineered to your needs.

We embed senior-led engineering squads inside health systems, EHR vendors and healthtech ISVs. HIPAA-first architecture, SOC 2-ready, FHIR / HL7 fluent. EHR integrations and AI decision support — shipped inside your compliance perimeter.

YEARS 18yrs IN HEALTHCARE
PRODUCTS 12+ HEALTH PRODUCTS SHIPPED
STANDARDS HIPAA · GDPR EVERY ENGAGEMENT
TEAM 1team NO SUB-CONTRACTING

The teams we work with.

Health systems and healthcare app developers / healthtech. The way we engage with a health system modernising patient touchpoints looks different to a healthtech scaleup adding engineering capacity, but the operating model is the same: senior-led engineering squads, embedded, owning outcomes inside your governance.

› HEALTH SYSTEMS

Health systems modernising clinical workflows and patient touchpoints.

EHR add-ons, patient portals, clinical dashboards, custom integrations between systems that don't talk to each other natively. Engineers who know the difference between an HL7 v2 segment and an FHIR resource — and who'll plug into the compliance, security and procurement processes you already run.

TYPICAL: 3–12 MONTH ENGAGEMENTS · MSA + BAA · INFOSEC REVIEW
› HEALTHTECH VENDORS & SCALEUPS

Healthtech app developers and scaleups adding engineering capacity that ships in their stack.

You have paying customers, a roadmap, and a SOC 2 audit on the calendar. What you need is senior product engineers who can pick up workstreams without you having to explain healthcare interoperability from scratch — and slot in alongside your team rather than replacing it.

TYPICAL: 6–24 MONTH ENGAGEMENTS · EMBEDDED · ROADMAP-DRIVEN

Three product shapes we see in our work.

Most of our healthcare engagements land in three categories, and may take the shape of clinical tooling that pipes into an EHR, a member portal that runs on top, and AI assistance layered on the workflow.

Clinical tools & EHR integrations.

Tools that sit inside the clinical workflow. We integrate with the EHRs and systems your organisation already runs — Epic, Cerner, Allscripts, athenahealth — and speak HL7 v2, FHIR R4 and CDA to whatever else is on the network.

EXAMPLES: EHR integrations · FHIR/HL7 pipelines · Clinical dashboards

AI & clinical decision support.

Where this work crosses our Agentic Systems offering — agents that triage incoming patient messages, summarise consult notes, extract structured data from unstructured documents. This work is always done with a human in the loop and a full audit trail; never a black box that decides on care.

EXAMPLES: Triage assistants · Notes summarisation · Document extraction

Patient & member portals.

Provider-facing portals that let patients schedule, message clinicians, view records, complete intake — built around the workflow your front-desk and clinical staff actually run.

EXAMPLES: Patient portals · Member experience · Intake & scheduling

HIPAA compliance is the starting point.

We work with regulated data from day one. Our engineering process was built to survive an audit — and to integrate cleanly with the compliance programme you already run.

HIPAA

US patient data.

BAAs, encryption at rest and in transit, audit trails on every PHI access, role-based access controls, healthcare-cleared hosting (AWS PHI-eligible services or equivalent). Compliance is part of the architecture from the first commit, not a retrofit.

PHI · BAA-READY
GDPR

EU patient data.

Data residency in the EU when required, DPAs in place, lawful basis documented for every processing activity, data-subject-request flows that don't take a two-week back-office scramble. Breach notification process tested, not just written.

EU · DPA-READY
MDR · IVDR

Medical device software.

Software-as-a-Medical-Device engineering aligned with IEC 62304 lifecycle and ISO 14971 risk management. We support the SaMD classification effort, document accordingly and integrate the technical file with whatever notified body you work with.

SaMD · IEC 62304
ISO 13485 · 27001

Quality & security.

Engineering practices that fit a Quality Management System (procedure-driven, traceable, reviewable) and an ISMS audit (asset register, access reviews, incident response). We document for the auditor your QA/regulatory partner brings.

QMS · ISMS

We don't issue certifications and we're not auditors. We build product that fits inside a compliance programme run by you or your QA / regulatory partner. Show us the auditor's checklist and we'll work backwards from it.

The stack we ship every week. Cloud, data, clinical standards.

B2B healthcare engineering on the tech that compounds. AWS- and Azure-native infrastructure, Snowflake and Databricks on the data side, FHIR and HL7 fluency for everything that has to speak to an EHR.

AWSCloud · PHI-eligible services
AzureCloud · health-aware
SnowflakeWarehouse
DatabricksData + ML
FHIR R4Clinical standard
HL7 v2Clinical standard
PythonData + ML
Apache KafkaRealtime events

HealthHive — compliance-first engineering for a healthcare platform that had to ship — and ship right.

Healthcare software has to be right before it can be fast.

HealthHive came to us with a tight timeline, a real product vision and a constraint that makes most engineering teams nervous: HIPAA compliance from day one — a fully auditable, access-controlled, audit-trail data flow before a single real user touched the system.

We rightsized the data model with HIPAA in mind from the first commit. Compliance isn't a layer — it was the architecture. The platform launched 11 weeks after kick-off, with no security retrofit needed post-launch and zero compliance gaps in the audit.

SCOPEPatient flow · Web · Mobile
STACKRails · React · Kafka · Elasticsearch
MVP TIMELINE11 weeks to production
ENGAGEMENTSince 2018 · same team
Read the full case study

"True business partner. Not just executors. They influence architecture and development decisions."

JASMINE GARDENER · CO-FOUNDER · HEALTHHIVE
HealthHive
INDUSTRY
Healthcare
TIMELINE
Since 2018
CORE TECHNOLOGY
Rails

How a healthcare engagement runs — from first call to deploy.

The exact shape varies with the regulatory perimeter, but the four steps are consistent in every healthcare engagement we run.

DISCOVERY

Clinical & data governance.

We sit down with the clinical, product and compliance owners on your side. Map the stakeholders, the regulated data classes in scope, the integrations the product has to live with, and the compliance checklist. No build until this is on paper and signed off.

WEEK 1–2
DESIGN

Design with the clinician.

UX work runs alongside the discovery — design, wireframes and clickable prototypes validated with the people who will actually use the solution. Clinical-safety considerations are part of the same conversation, not a separate review.

WEEK 2–6
BUILD

Build inside your compliance perimeter.

Code, infrastructure, deployments — all running inside the security and compliance setup you already have, or one we'll design with your team. PHI never leaves the perimeter. Audit trails, access controls and change management get built alongside the feature work.

WEEK 6+
SHIP & EVOLVE

Ship to real users. Then keep going.

Phased rollout, regression suite the clinical QA team can run, monitoring tuned to the metrics that matter to the clinical lead. After go-live, we stay on a defined cadence — or hand over to your team's engineers, with the runbooks they need.

ONGOING

Building something in healthcare? Let's talk.

No deck. No sales pitch. Tell us what you're building, what regulatory perimeter you're inside, what you've already tried. Thirty minutes is usually enough for both sides to know whether this is a good fit — and if it isn't, we'll point you at someone who is.