Custom products and AI for hospitals, clinics, diagnostic centres and care networks. Reduce administrative work, connect clinical workflows and keep patient decisions with your people.
Why healthcare is different
Health data is among the most sensitive information that exists, the regulatory stakes are real, and the people who use your systems are already short on time. A tool that saves a clinician two minutes per patient changes a whole shift. A tool that mishandles a record can end a relationship.
So we do not treat compliance as a checklist at the end. Privacy, access control, auditability and human oversight are design inputs — the architecture starts from them. And the workflows we automate are chosen with your clinicians, because adoption is a clinical question before it is a technical one.
Four provider workflows
Start with one process your staff need to improve. These are solution examples, not claims about previous deployments. Access, review points and acceptance evidence are agreed before implementation.
Patient portals for appointments, referrals, forms and secure messages. AI can organise intake information and flag missing documents so reception and care teams work from the same record.
Human decision. Urgent symptoms go to your clinical escalation process. An assistant does not diagnose or independently assign clinical priority.
Prepare draft consultation notes, referral summaries and handover packs from authorised sources. Show the source evidence and make corrections easy before anything reaches the clinical record.
Human decision. A clinician reviews and signs off. Recording consultations requires the permissions and consent appropriate to your setting.
Track referrals, discharge tasks, outstanding results and follow-up appointments across teams. Draft reminders from approved instructions and surface overdue work to a named owner.
Human decision. Clinicians own care plans, interpretation of results and patient-specific advice. AI cannot silently change an instruction.
Connect rostering, capacity, authorisation paperwork, coding evidence and billing preparation. Reconcile operational records with tested calculations and keep exceptions visible to staff.
Human decision. Authorised staff approve codes, submissions and financial adjustments. AI does not approve treatment, determine eligibility or release money.
AI solutions
AI has obvious value in healthcare — and obvious risk. Our approach is to make the risk manageable rather than pretend it away: minimise the data the model sees, keep the human decision in the loop, and log everything so every action can be explained later.
Draft notes generated from consultations for clinician review and sign-off. The clinician edits and approves; nothing reaches the record without a person.
Structured patient intake, symptom context gathering and routing — with clear escalation to a human and no diagnostic claims.
Extract, complete and check the paperwork that slows care down. People confirm the submission before it leaves the building.
Suggested codes with the supporting evidence attached, so a human can verify in seconds rather than hunt through the record.
Answering administrative questions — appointments, directions, preparation instructions — with guarded scope and a fast path to your staff.
Flow, capacity and utilisation insights built on governed data, so decisions about staffing and schedules rest on evidence.
How the AI is governed
HIPAA, GDPR and local health-data requirements apply differently across providers and jurisdictions. Your legal and clinical owners confirm the applicable rules; we translate them into technical controls and review evidence. This is not a compliance certification.
Identifiers are stripped or tokenised before data reaches a model. Prompts carry the minimum needed for the task — never the full record by default.
Where HIPAA applies, confirm required business associate agreements and each processor's permitted use before data flows. Provider terms, hosting region and subprocessors must match the agreed deployment.
AI drafts, clinicians decide. Anything written to a record, sent to a patient or affecting care passes through a person.
Record source references, model versions, actions and reviewer decisions. Restrict access and minimise sensitive content in logs; raw patient records do not belong in every trace.
Deployment choices
Some organisations are comfortable with a compliant vendor cloud. Others — hospitals, insurers, defence-adjacent providers — need data to never leave their own boundary. We support all three, and we will tell you honestly what each one costs you in operations and flexibility.
A vetted provider configured under a business associate agreement, in your region, with the data handling agreed in writing.
The system runs in a private cloud or data centre you control — your region, your network, your keys.
Open-weight models and the entire stack inside your own infrastructure. PHI never crosses your boundary; you own the operation entirely.
Human in the loop
Automation in healthcare needs explicit boundaries. We agree them with you upfront, and the system enforces them — so the question "who decided this?" always has a clear answer.
Drafting, summarising, formatting and routing — low-risk work where speed matters and a person reviews the outcome.
Anything written to a record, sent to a patient or shared externally waits for explicit human approval.
Diagnosis, treatment decisions, consent and anything with clinical consequence stay with your clinicians. Full stop.
When the system is uncertain or the data looks wrong, it stops and hands the case to a person — never guesses through it.
Security & audit
Your compliance team should be able to verify our work, not take it on faith. Security controls and audit evidence are deliverables, alongside the software. Client data is not used to train general-purpose AI without express written agreement.
Role-based access mapped to your actual staff roles. Clinicians, admins and auditors see what their role requires — nothing more.
Data protected in transit and at rest, with keys and key handling agreed with your security team up front.
Who accessed what, when, and every AI-assisted action — retained and exportable for your compliance reviews.
Data lifecycle rules agreed during discovery and enforced in the system — including deletion when a record's time is up.
We test the surfaces that matter for your deployment: access boundaries, integrations, uploads and the AI pipeline itself.
HIPAA, GDPR or local health-data regulation — we design to the specific rules that apply to you and say plainly what each deployment does and does not cover.
Works with your systems
Your EHR/EMR remains the source of truth. We integrate with it — HL7, FHIR and API-based systems — along with your labs, scheduling, billing and document systems. Where integration is impossible, we design the workflow to fit around it rather than pretending the problem away.
How we work
We start with your regulatory posture and the real clinical workflows — what data moves where, who decides what, and which rules bind. The compliance requirements become design inputs, not afterthoughts.
The people who will use the system shape it. We prototype early, test the workflow with your staff and agree the human-review points before a line of production code exists.
Our engineers and coding agents build in parallel — under the same compliance discipline. Access controls, audit logging and data boundaries are part of the build, reviewed at every step.
We test the critical journeys end to end, produce the audit evidence your compliance team needs, and support the go-live with a clear recovery plan.
We build systems that support your HIPAA compliance: business associate agreements, PHI minimisation, access controls, encryption, audit logging and retention rules designed in from the start. Compliance certification belongs to your organisation — we give you the technical controls and evidence that make it achievable.
Yes. We offer three deployment shapes: a vendor cloud configured under a BAA, a private deployment in your region, or fully self-hosted with open-weight models inside your own infrastructure. The self-hosted option keeps PHI entirely within your boundary.
We integrate with what you already run — HL7, FHIR and API-based systems — rather than replacing anything. Integration scope and access boundaries are mapped during discovery, and your clinical system remains the source of truth.
Your people do. The review points are designed with you: some work may run automatically within agreed boundaries, but anything touching a patient record or a patient-facing message passes through a named human step.
We scope to the specific rules that apply to you — GDPR, UAE health-data requirements or others depending on where you operate and where your patients are. Requirements are agreed during discovery and become part of the acceptance criteria.
It depends on scope and integrations. After discovery we give you a scoped estimate for the smallest useful release — typically a focused workflow, not the whole platform — and a plan for what follows.
The working product, its documentation and deployment guidance, the audit and security evidence, and a walkthrough for your team. Ownership of code, data and infrastructure is explicitly agreed in the engagement.
Let’s talk
Tell us about the workflow that frustrates your staff, the systems you run and the rules you answer to. We’ll help you scope a first release that is useful, safe and provably compliant.