Devices address treatment; data addresses why that treatment works and how it can work better. We focus on four core business lines — medical data governance, data annotation, disease-specific models and agents, and data transaction — turning medical data into authorisable, deliverable and traceable data elements.
From cleaning data up to letting it flow compliantly, each stage creates the precondition for the next.
The first question about medical data is never how much there is, but whether it can be used. Starting from consistent definitions and quality standards, we turn data from devices, hospital systems and archives into data resources that are consistent, controllable in quality and clearly bounded.
A model's ceiling is set by data quality, and the quality of medical data depends on annotation standards and review mechanisms. For imaging, waveforms, text and structured clinical records, we build a medical annotation system with a multi-round quality-control loop.
A model is valuable only when it lands on a specific disease and a specific setting. We build data models and knowledge systems around disease areas and package them as agent applications clinicians and institutions can call directly.
The value of data elements is released through flow, but medical data must clear compliance first. With authorisation and de-identification in place, we connect supply and demand and support data product scoping, compliance assessment and data transaction.
* Medical data involves personal privacy and sensitive information. We provide these services only within the scope of compliant authorisation, de-identification and the agreed purpose, and raw data never leaves its domain. The subject matter of any transaction is a compliance-assessed data product or service capability, governed by the agreement between the parties, regulatory requirements and the rules of the compliant data exchange.
Layers A to H define, one by one, where data comes from, how it is processed, where its use is bounded and what it runs on. Architecture comes first — that is how compliance becomes an inspectable structure rather than a promise.
Unified ingestion of multi-source heterogeneous data — device parameters, hospital information systems, imaging and waveforms — with structured and standardised mapping.
Multi-source heterogeneous · structured mappingConsistent definitions and quality standards covering cleansing, classification, de-identification and end-to-end traceable audit.
Core business 01 · Medical data governanceMedical annotation standards, expert review and multi-round cross-QC producing high-quality annotated data ready for model training.
Core business 02 · Data annotationData asset catalogue, ownership and authorisation management, compliance assessment, plus data product registration, matching and data transaction.
Core business 04 · Data transactionData models, knowledge bases and efficacy assessment for specific disease areas, supporting risk alerts and personalised recommendations.
Core business 03 · Disease-specific modelsAgent applications for clinicians and institutional operations: clinical assistance, report interpretation, follow-up management and operational analytics.
Core business 03 · Medical agentsA unified agent orchestration and capability encapsulation layer that wraps data and model capabilities into safely callable business interfaces.
Capability encapsulation · orchestrationA self-controlled core runtime supporting deployment in domestic-stack environments, on-premises data and multi-tenant isolation.
Domestic-stack ready · data stays on-premisesThese are the application scenarios backed by our existing products, clinical partnerships and data entry points.
Using structured treatment parameters from the ozone therapy device and post-operative follow-up indicators, we build a disease-specific data model around tubal patency, recanalisation and pregnancy outcomes to support efficacy assessment and protocol optimisation.
Combining magnetic field frequency, energy parameters and course scheduling from the chair, we capture data on pelvic floor muscle improvement for course management and rehabilitation assessment.
Structuring follow-up reminders, adherence records and symptom changes to help institutions raise follow-up completion rates and patient management efficiency.
High-quality, traceable real-world data is an important basis for new-indication registration filings and clinical research; we provide compliant dataset curation and delivery support.
Medical data involves personal privacy and sensitive information. Our principles are minimum necessary, authorised use, de-identified isolation and full traceability — and we build compliance into every layer of the data chain.
We collect only the data fields directly relevant to care and research purposes, avoiding over-collection.
Purposes and scope of use are defined explicitly; any third-party use requires authorisation.
Sensitive fields are de-identified, access is isolated by role and scenario, and raw data never leaves its domain.
Collection, transfer, annotation and use are all logged, forming a traceable operation record.
If your institution would like to work with us on data governance, data annotation, disease-specific models and agents, or data transaction, get in touch and we will assign the right colleague.
