Compliant, explainable AI for hospitals, clinics, MedTech manufacturers, and healthcare SMEs — reducing documentation burden, accelerating diagnoses, and improving patient outcomes while meeting GDPR, MDR, and HL7 standards.
Automatically generate structured clinical notes, discharge summaries, and referral letters from voice or unstructured input — reducing physician documentation time by up to 60%.
AI-assisted analysis of lab results, imaging reports, and patient history to surface early warning signals and support differential diagnosis — always as a second opinion, never autonomous.
Intelligent chatbots and voice agents that handle appointment booking, symptom pre-screening, insurance verification, and escalation to the right care pathway — 24/7 across all channels.
Accelerate CE marking, MDR technical files, and BfArM submission documentation with AI that drafts, cross-references, and gap-analyses regulatory packages against current requirements.
Bridge legacy HIS/LIS systems, wearable devices, and modern APIs using AI-powered data transformation and routing — creating a unified patient data picture without costly rip-and-replace.
AI-powered drug interaction checking, formulary management, and prescription anomaly detection — helping pharmacists and prescribers catch errors before they reach patients.
Healthcare AI fails when it's parachuted in without clinical context. We embed alongside your clinical and IT teams to build solutions that are explainable, auditable, and genuinely useful at the point of care.
Two-week deep dive with your clinical and operational teams to map exactly where AI creates value without adding friction.
Every solution is designed from the ground up for GDPR, MDR, and your EMR environment — not retrofitted.
We run structured clinical validation protocols before any AI output reaches a live patient pathway.
Post-deployment dashboards, drift detection, and quarterly model reviews keep your AI accurate and safe.
All patient data processing on EU infrastructure with data processing agreements (DPAs) for every deployment. On-premises or private cloud available for sensitive clinical data.
EU data residencySoftware as a Medical Device (SaMD) classification guidance and documentation support. Full audit trail and explainability built into every diagnostic-adjacent AI solution.
MDR-aware designNative support for HL7 FHIR R4, HL7 v2.x, DICOM, and major German HIS/EMR systems including TurboMed, CGM, and Medistar. Gematik TI integration available.
FHIR R4 nativeSecurity management practices aligned with ISO 27001 — critical for hospitals and clinics handling sensitive patient data under data breach notification obligations.
ISO 27001-alignedHealthcare AI falls under high-risk categories in the EU AI Act. Our systems include explainability, human oversight checkpoints, and full technical documentation for conformity assessments.
EU AI Act readyEvery AI output that touches a patient pathway is validated through structured clinical evaluation protocols before deployment — not just software QA, but clinical performance evidence.
Clinically validatedOur diagnostic support tools are designed as clinical decision support, not autonomous diagnostic devices. We advise on SaMD classification during discovery and can support MDR conformity processes for clients pursuing CE marking.
All processing occurs within EU infrastructure. On-premises and private cloud deployments are available for hospitals with strict data sovereignty requirements. We sign DPAs and act as a compliant data processor under GDPR.
We support TurboMed, CGM MEDISTAR, Orbis, iMedOne, SAP for Healthcare, and most HL7-compatible systems. Custom integrations are scoped during the discovery phase at no extra charge.
Our documentation AI always operates with mandatory physician review before any note is finalised. We position AI as a highly capable first drafter — the physician remains responsible and in full control of every clinical document.
Documentation AI and patient triage agents typically reach production in 6–10 weeks. Diagnostic support and interoperability projects run 10–16 weeks due to clinical validation requirements. We always begin with a two-week proof of concept.
Absolutely. Many of our clients are individual practices and small clinic groups with 5–20 physicians. We offer tiered pricing and a SaaS delivery model that makes enterprise-grade AI accessible to smaller healthcare organisations.
Book a free 30-minute clinical discovery call. We'll map your highest-impact AI opportunities and show you exactly how we can reduce administrative burden while improving patient outcomes.