JsonLink acquires vital signs from every device in the hospital and runs AI at the edge — so clinical intelligence works where it matters, without data ever leaving the ward.
Great models rarely fail on accuracy. They fail on deployment — long before they reach a bedside.
Training-grade clinical waveforms are locked inside hospital devices. Public datasets alone don't generalize to the real ward.
Each manufacturer has its own protocol. Integrate one hospital, and the next one starts from zero.
Privacy rules and air-gapped networks make cloud inference impossible. Deployment dies right here.
Time-synchronized, high-resolution vital signs from heterogeneous devices — normalized, inferred on-premise, and accumulated as a single data layer for both care and research.
Vendor-neutral capture · time synchronization · signal normalization
On-premise inference — our models and partner models, zero data egress
Real-time multi-bed monitoring · events · time-series archive · research datasets
From acquisition to inference to insight — delivered as a single coherent stack.
Any patient monitor, one standard data stream. Replaces per-bed PC setups with a palm-sized embedded device — always on, unattended.
Live monitoring and research data in one platform. The data that watches over patients today trains the hospital's AI tomorrow.
Inference at the point of care — data never leaves the hospital. First application: non-invasive continuous hemodynamic estimation from fused ECG·PPG signals, currently in research.
Control industrial devices with a single line of JSON. No protocol handbooks, no firmware team required.
No lock-in to any manufacturer. Hospitals change devices; the infrastructure stays.
Time-synced, high-resolution waveforms with a consistent schema — training-grade from the moment of capture.
Data never leaves the hospital. Air-gapped networks and privacy rules are design inputs, not obstacles.
Not just our AI. An architecture built to onboard and run partner models at the edge.
We work with clinical AI companies, research institutions, and device manufacturers. Tell us what you're building.
Deploy your model on our edge infrastructure, or run a joint clinical data pilot.
jsonLink IO purchase, volume quotes, and integration questions.
Hardware, firmware, and connectivity engineering for your device.
Embedded, signal processing, and clinical ML roles.
One email is enough. Include what you're working on and where you're stuck — we'll reply with how our stack can help.
Write to us →EMAIL · [email protected]