Available now
Continuous, contactless overnight welfare monitoring and welfare check workflow for institutional care.
Explore Core
Pending regulatory approval
Pattern-based deterioration alerting alongside welfare monitoring. In development ahead of regulatory clearance.
Explore ClinicalWhat Clinical adds
Welfare One Clinical isn't a different product. It's the same platform, with vital-signs intelligence layered on top of everything Core already does.
Foundation
Presence, movement, pattern-aware alerting, welfare check workflow, compliance reporting. The complete welfare monitoring platform, available today.
Clinical extension
Continuous breathing rate
Per-person breathing rate measured continuously, without contact.
Continuous heart rate
Per-person heart rate from the same sensor, measured continuously.
Personal baseline learning
The platform learns each person's normal range over time.
Change against baseline
A single score that quantifies how today compares to typical.
Vital-signs-aware alerts
Alert logic that combines vital signs with movement and presence.
Trend visualisation
Vital signs over hours and days, on the same dashboard staff already use.
Privacy by design
Welfare One uses ultra-wideband radar, harmless low-power radio waves that detect the smallest micro-movements in a room, including movements too small to see with the naked eye. From these micro-movements alone, the platform delivers what previously took several separate pieces of specialist equipment.
It captures no images. It records no audio. It stores no biometric identifier. Privacy isn't a setting. It's a structural property of how the platform was built.
Pattern identification
Vital signs measured continuously over time produce something a single reading cannot — a personal baseline against which today's signals can be compared. Patterns that drift from that baseline are visible before they reach the thresholds that trigger a manual response.
Welfare One Clinical is designed to identify those patterns and surface them to staff as early prompts. The earlier the prompt, the more time staff have to look, to ask, to act.
Baseline learned
The platform observes each person's typical signals over time, building a baseline that's specific to them.
Deviation detected
A pattern of change appears against that baseline, before any single threshold is crossed.
Staff prompted
A plain-English prompt appears in the dashboard. The clinical judgement stays with staff.
Pattern identification is a future capability. Specific predictive claims will be made only where supported by clinical evidence.
Upgrade in place
When Clinical approval is obtained, your existing deployment becomes Clinical-ready through a backend configuration change. No hardware swap. No rewire. No install team back on site. The sensor on the ceiling and the server in the rack already support it.
Register interest and we'll keep you informed as Clinical moves through approval. Existing Core deployments will upgrade in place when the time comes.
Register interest
