Make every dialysis session smarter

Connecting devices, data and clinical decisions

Dialysis management, connected machines, clinical decision support and real-time monitoring, closed into one loop. Running in 100+ centers, 30+ of them our own — we prove it on ourselves before handing it to anyone else.

100+
Smart dialysis centers
5,000+
Connected machines
30+
Self-Operated
100+
Partner hospitals

Not a concept. A system already running.

A smart dialysis center is not a proposal document. It is running in 100+ centers today — scheduling, records, laboratory review and quality control handled by the system, device, laboratory and treatment data on one platform, and clinical time returned to patients. The figures below come from the platform itself, not from an estimate.

5,000+
devices connected live
~8,000
patients on the system
~1,000,000
treatment monitoring records
~5,000,000
device telemetry records

Device and patient counts are group figures as of August 2026; record counts are taken from the platform as of April 2026.

What AI actually does in a dialysis unit

Plan review moves from once a fortnight to every session

Before

Dry weight and ultrafiltration volume were reviewed once every two to four weeks. Not by choice — a clinician's hours were already full, and the data sat apart in machines, lab systems and paper notes. Assembling it took as long as a clinic.

Now

Machine parameters, monitoring data and lab results from every session are gathered automatically and presented in a form that can be read directly. A clinician can check at each session whether the dry weight and ultrafiltration target still fit — instead of waiting a fortnight.

Four parts close the loop; drop one and the data breaks in the middle

Four parts, none of them optional. Drop any one and the data breaks in the middle, and what reaches the clinician is late and incomplete.

  1. 01
    Dialysis management system

    Orders, scheduling, nursing records and quality management in one system rather than spread across separate forms.

  2. 02
    IoT

    5,000+ machines connected live; treatment parameters enter the record automatically, without transcription after the fact.

  3. 03
    Clinical decision support

    Attribution analysis and AI-assisted drafting turn scattered data into grounds a clinician can read directly. Suggestions are for reference; the clinician confirms.

  4. 04
    Real-time monitoring

    Central monitoring and bedside terminals surface an anomaly at the nurses' station during treatment, not after the patient comes off.

Judgement and prescription remain with the clinician; the system's job is to put complete data in front of them in time. Dry-weight prediction and intradialytic hypotension warning remain research programmes and are not offered as registered clinical functions.

How we size the market

Installed base and greenfield are both our market

We sell transformation, not replacement. A center already built — even one already running well — becomes a smart dialysis center without replacing its machines or tearing up its workflow. That changes how the addressable market is counted.

8,456
Hemodialysis centers in China
The old arithmetic

Only new-build centers count as opportunity; anywhere already taken is a competitor. The more mature the sector, the smaller the share left.

The new arithmetic

An existing center can be transformed too, so it enters the addressable market as well. And the larger and more complex the operation, the more transformation returns — which makes the best-run centers the customers we want most.

This is an argument about addressable market, not a claim about customers already signed.

The network follows where dialysis patients are

The network follows where dialysis patients are

Our own and cooperative centers go deep in regions with dense patient populations and relatively stable reimbursement; the smart supply chain and platform deployments reach wider, covering 23 provinces and municipalities today. All three run to the same management standard on the same system.

Self-operated centers and hospitals
Partner dialysis centers
Provinces with a center
Provinces the service network reaches
Enabled private hospitals (unnamed)
View all centers

Dark shading marks provinces with a center; light shading marks provinces reached through the smart supply chain, a cooperative arrangement or a platform deployment — 23 provinces and municipalities in total. Small dots mark leading private hospitals running our platform or served by the supply chain, placed by city and not named individually: naming a partner publicly requires their agreement.

Observed in operation

9.0%
from22.4%

Patients in a pre-shock state

2.5 min/patient
from8.3 min/patient

Laboratory result evaluation time

21.1%
from74.0%

Iron deficiency prevalence

Observed at Suntop-operated dialysis centers. Formal study documentation is in preparation.

All results and methodology

The registered scope is stated plainly, and every capability is tiered

沪械注准20252210297

Registered scope
For the transmission, display and processing of dialysis data in blood purification centers
Valid until
2030-07-16

Start with one center and test the transformation

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