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- Reliable in-room activity data
- AI-powered risk intelligence
- Proactive fall prevention
HalleyAssist
HalleyAssist® enables proactive risk prevention and offers aged care providers valuable behavioral insights with a solution based on HalleyAssist's AI-powered Home Risk Intelligence platform and Onics' reliable motion sensors.
HalleyAssist® is a Melbourne, Australia-based AI-powered Home Risk Intelligence platform serving aged care, connected home, and Insurtech risk prevention applications.
The platform combines discreet in-home sensors, AI-powered behavioral intelligence, and HalleyHotline's conversational AI intervention layer to identify early signals of health, safety, and household risk before incidents escalate into injury, property damage, or Insurtech claims.
In aged care, visibility between staff observations and clinical assessments is often limited. This makes it difficult to detect subtle changes in resident behavior, unusual inactivity, repeated night-time movement, or other emerging risk patterns.
The ideal sensing layer for AI-powered risk intelligence
Onics' wireless motion sensors were deployed across resident rooms to capture continuous in-room activity, movement events, and bed-related behavior.
These sensors provided the real-time data foundation required for HalleyAssist's® AI behavioral modelling. By analyzing this data, the platform identified changes in resident movement and behavioral patterns and enabled care teams to intervene earlier.
This made it possible to distinguish actual resident behavior from assumptions based on periodic observations.
During the deployment, the combined solution identified hidden risk patterns, including repeated bed exits at specific times of night, which had not been detected through clinical observation alone. It also revealed that the resident was more mobile in-room than previously believed.
This gave care teams a clearer picture of real behaviour, helping them replace assumptions with data-driven insight and enabling more proactive, personalised care.
By combining reliable motion data with AI-powered behavioral intelligence, HalleyAssist® enabled care teams to move from reactive monitoring to proactive fall prevention.
During the 12-week deployment in Australia, predicted in-room falls were reduced from an expected nine to justone actual fall. The solution also improved staff confidence, reduced reliance on non-actionable alerts, and supported more personalized, data-driven care planning.
What the customer says:
"Onics' discreet and reliable sensors give us the real-time data layer we need to identify risks earlier, reduce unnecessary escalation, and support prevention before incidents occur."
A versatile white label IoT platform that fit HalleyAssist's needs
By integrating Onics’ wireless motion sensors into its platform, HalleyAssist® has strengthened its AI-powered risk intelligence solution with a reliable and privacy-preserving sensing foundation.
The solution provides continuous and reliable in-room activity data through passive monitoring without cameras or wearables. High-accuracy alerts, minimal false positives, and alert generation within 1–2 minutes support earlier intervention and stronger AI behavioural modelling.
The sensing foundation also improves visibility between staff observations and clinical assessments, helping support proactive and personalised care planning.
What the customer says