Secure AI workflows for intake, documentation, follow-ups, and admin tasks — designed with human review and control built in.
We do not replace clinicians or make medical decisions. We build AI-assisted workflow systems where healthcare teams stay in control.
Most workflow problems are not caused by one system. They happen across forms, calls, PDFs, portals, and repeated manual checks.
Teams spend hours collecting documents, checking payer portals, and following up manually.
Notes, summaries, and repetitive admin work reduce time available for patient care.
Demographics, insurance details, medical history, and consent data are often entered more than once.
Manual lookups across payer portals slow your front desk. One missed step and the claim bounces back two weeks later.
Formularies, clinical guidelines, and care protocols live in SharePoint. Clinicians can't find what they need at the moment they need it.
They usually do not match your forms, approvals, systems, compliance needs, or review process.
We design and develop AI-assisted applications for healthcare teams, based on your current process, data sources, compliance needs, and integration requirements.
AI-assisted documentation support for visit notes, summaries, and structured outputs — with clinician review before use.
LLM pipelines that read scanned PDFs, faxes, and lab reports and return validated, audit-trailed structured fields.
Search across approved internal documents, policies, SOPs, and guidelines with source references and access controls.
Prepare documentation, organise payer requirements, track status, and draft follow-ups. Final decisions remain with the payer.
Multi-tenant patient experiences with role-based access, scheduling, document upload, and payments — BAA-ready.
Connect with EHR, billing, CRM, or portal systems where API, HL7, FHIR, or secure export access is available.
For teams that want continuous improvement, monitoring, optimisation, and support after launch.
A scoped piece of healthcare engineering — an EHR integration, a migration, a focused PoC, a compliance audit.
A full-time senior engineer embedded with your team. Best for steady builds and the long arc of a production system.
A senior solution architect leading design, AI model selection, and delivery. For complex production AI systems.
We start with one high-value workflow, validate feasibility, build a prototype, and then plan production around integration, security, and compliance requirements.
30 minutes. We learn your workflow, compliance needs, and what 'done' looks like. No sales pitch.
We design the system and build a working PoC against your real data so you see results, not slides.
Dedicated engineers ship the production system. Weekly demos, continuous feedback, no surprises.
Deploy in phases, monitor usage, collect feedback, and improve the workflow before wider release.
Compliance depends on architecture, hosting, access control, audit trails, vendor agreements, and operational policies. We design with those requirements in mind from the start.
Role-based access, encryption, audit logs, PHI minimisation, and deployment planning for environments where HIPAA obligations apply.
Use appropriate AWS services and BAA-backed infrastructure where required, with application-level controls designed separately.
Plan region-specific hosting, storage, access, and retention policies based on client and regulatory requirements.
Tell us what’s broken in your workflow. We’ll come back within one business day with a clear sense of what we’d build and what it would cost.
If yours isn’t here, send us an email — we’d rather have a real conversation than a marketing one.
Yes. We sign Business Associate Agreements for any engagement involving Protected Health Information (PHI). We can provide a template or work from yours.
We deploy on AWS (HIPAA-eligible services only) or on bare-metal Hetzner infrastructure in EU regions (Frankfurt by default). EU data stays in the EU, full stop.
A focused prototype can often be delivered in 4–6 weeks after discovery. Production timelines depend on integrations, security review, compliance requirements, and client-side approvals.
Yes, where your EHR or related systems provide API, HL7, FHIR, secure export, or integration access. We confirm feasibility during discovery before committing to integration scope.
You do. Every line of code we write becomes your property at delivery. We can host and operate it, hand it off to your team, or both — your choice.
Whichever fits the problem. OpenAI Whisper for clinical voice; GPT-4o and Claude for structured extraction; open models like Llama or Mistral when you need fully self-hosted inference. We architect for swap-ability.
Four-layer defense: input filtering, prompt constraints, output validation against structured schemas, and least-privilege access to downstream systems. Every model output is auditable; nothing reaches the EHR without a validation step.
We prefer dedicated-team engagements because healthcare requirements shift mid-build. For tightly scoped pieces (a specific integration, a migration), we can quote fixed price after discovery.
Yes. We design healthcare AI applications around your existing process, data sources, compliance requirements, and integration constraints.
Yes, where the EHR or healthcare system provides FHIR, HL7, API, or secure export access. We confirm technical feasibility during discovery.
We design AI applications with HIPAA-aligned controls such as role-based access, encryption, audit logs, PHI minimisation, secure deployment, and BAA-supported infrastructure where required. Final compliance depends on the full technical, legal, and operational setup.