MOVO-X
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Healthcare AI that runs in production — not in a paper. MOVO-X is an AI-first clinical operating system live across 174+ countries today, processing 27,521+ patient records with zero downtime.
Healthcare AI suffers from a research-to-production gap. Models that work in academic papers fail in clinical operations because they can't handle the real workflow — multilingual patients, regulatory constraints, integration friction, and the political reality of clinician adoption. MOVO-X was designed from day one to clear all of that.
Triage scoring, no-show prediction, demand forecasting, and priority routing — running across every clinic department and patient touchpoint. Production-tested at scale.
AI-driven medication-interaction warnings, allergy cross-checks, and clinical-pathway nudges integrated into the consultation surface. Always decision-support; never replacing clinician judgment.
NLP-powered consultation summarisation, ICD-10 / SNOMED-CT coding suggestions, and audit-ready clinical notes. Cuts documentation time by 50% while improving coding accuracy.
Per-clinic, per-region, and per-network population-health insights driving public-health decisions. Anonymised aggregate APIs for regulator reporting and academic research.
Models train across institutional boundaries — across multiple clinics in a network or across multiple ministries in a region — without raw patient data crossing those boundaries. Differential-privacy guarantees.
Every AI feature has a documented model card, evaluation harness, drift monitoring, and human-in-the-loop override path. EU AI Act forward-aligned. OECD AI Principles compliant.
27,521+ patient records processed in production with zero AI-attributed incidents
40% reduction in no-show rate via AI-tuned engagement
50% reduction in clinical-documentation time via NLP summarisation
Federated-learning across clinic networks with privacy-preservation guarantees
MOVO-X AI is a thin, deliberately-modest set of production models — not a single LLM trying to do everything. We use the right tool for each task: per-clinic gradient-boosted models for prediction, transformer baselines for NLP, on-device CV models for kiosk hardware. Models are deployed as named services with versioning, rollback, and A/B test infrastructure. We follow OECD AI Principles, are forward-aligned with EU AI Act, and operate under documented AI-governance for every model in production.
Most "AI features" are LLM wrappers calling external APIs. MOVO-X AI is task-specific models running in our infrastructure (or on-prem for sovereign deployments) with documented governance, privacy-preserving training, and human-in-the-loop overrides at every decision point.
Yes. 27,521+ patient records have been processed through the AI pipeline at our flagship deployment with zero AI-attributed incidents to date. We are happy to share evaluation results under NDA.
Where AI features cross into "medical device" territory under FDA / EMA / NMPA frameworks, we maintain a documented regulatory pathway. Most of our AI is decision-support that operates below the medical-device threshold; for features that would be regulated, we work with the customer's regulatory affairs team on the appropriate pathway.
Yes. Federated-learning configurations and on-prem deployments are designed exactly for sovereign-data jurisdictions. Models train across institutional boundaries while raw data stays in-country.
OECD AI Principles compliant, EU AI Act forward-aligned. Every model has a documented purpose, data lineage, evaluation harness, drift monitoring, and human-oversight controls. Models are deprecated when better alternatives become available.
Tell us about your operation. We'll send a tailored proposal — architecture, integration scope, deployment timeline, and total investment — within hours.