Amigo Assist combines discreet ambient sensors, machine learning, and real-time insight delivery to understand how a person usually lives in their space — helping families, providers, and support teams spot unusual patterns, behaviours, and routine changes without cameras, microphones, or wearables.
Built to support earlier awareness, better oversight, and more informed action across homes, services, and care environments.
Discreet sensors collect environmental and activity signals in key spaces, with no cameras, microphones, or wearables required.
Amigo Assist builds a personalised baseline of routines, behaviours, and daily patterns, helping distinguish what is normal from what may need attention.
When patterns shift, authorised users receive useful alerts and actionable insight designed to support earlier awareness and better-informed decisions.
Built for privacy, aligned with GDPR, supported by secure UK-hosted infrastructure, and designed to help care teams see more than observation alone.
Amigo Assist turns discreet environmental signals into meaningful, privacy-first insight — helping authorised people understand routines, spot change earlier, and respond sooner.
Discreet sensors capture environmental and activity signals in key spaces without using cameras, microphones, or wearables.
The machine learning layer builds a personalised baseline of normal routines, behaviours, and timing patterns so the system becomes more accurate over time.
Meaningful deviations such as missed routines, unusual inactivity, unexpected movement, or behavioural shifts are surfaced for earlier awareness.
Timely alerts and clear insight are delivered to authorised family members, care teams, or service leads so the right people can understand context and act sooner.
What makes this different: Amigo Assist does not rely on a single moment or a single device. It combines multiple passive signals, learns what is normal over time, and helps turn everyday activity into practical, privacy-first insight.
Amigo Assist combines privacy-first ambient sensors with a machine learning layer that learns routines, interprets patterns, and helps surface meaningful change earlier. The value is not just in detecting activity — it is in understanding what is normal, what is changing, and what may need attention.
Amigo Assist continuously interprets signals from across the home or care setting. Instead of showing raw sensor events alone, the platform builds a personalised understanding of routines, behaviours, timing patterns, and room use.
Over time, the system becomes more finely tuned to the individual, making it easier to surface changes that could otherwise be missed, delayed, or lost within day-to-day care activity.
Why this matters: care teams and families can only act on what they can reasonably see and interpret. Amigo Assist helps monitor continuously in the background, process more environmental information than a manual workflow could, and bring unusual change to attention sooner.
Continuous monitoring
Always-on visibility across the environment, without intrusive surveillance.
Smarter interpretation
Multiple signals are combined to create context, not just isolated events.
Earlier pattern visibility
Helps surface missed routines, unusual timing, inactivity, or behavioural shifts earlier.
More personalised over time
The longer it runs, the better it understands what is usual for that person.
Resident still in bedroom later than usual
Pattern deviation detected · 08:42
No kettle usage by expected morning window
Routine not observed · 09:15
Front door opened at an unusual time
Out-of-pattern activity · 02:13
Room temperature below expected range
Environment alert · 17.2°C
Motion Sensor
Door Sensor
Push Button
Human Presence
Wellbeing Sensor
Vibration Sensor
Notifications
Authorised users receive useful, contextual alerts.
Tracks movement in key spaces to help build a picture of normal daily activity, room use, and timing patterns across the environment.
Developed in-house by Amigo Assist, this advanced mmWave-based sensor helps detect subtle presence, stillness, movement, sleep-related patterns, and wider wellbeing changes that standard sensors can miss.
Tracks open and close activity on doors, cupboards, fridges and key access points, adding useful context to routines and unusual timing.
Provides a simple manual way to trigger reassurance, request support, or acknowledge a prompt when that extra layer of confidence is needed.
Detects whether someone is present in a space even when movement is limited, improving occupancy and stillness awareness in quieter areas.
Detects body movement through beds, chairs and seating areas, helping identify significant movement patterns such as shaking, fits, seizures or other unusual activity.
The result is a system that turns passive sensing into practical early insight. That is what makes Amigo Assist valuable: not just knowing that activity happened, but understanding what may have changed, why it matters, and who needs to know.
Amigo Assist is not just a collection of sensors. It is a privacy-first intelligence layer that helps turn passive environmental signals into practical, early insight for families, providers, and support services.
The system is designed to deliver visibility without sacrificing dignity. That means useful insight can be created without relying on intrusive monitoring methods in the spaces people live in every day.
Amigo Assist works quietly in the background around everyday life. Instead of relying on constant participation, it observes the environment passively and helps build a richer picture of what is normal.
The real value is not in collecting events. It is in understanding what those events mean, identifying when patterns shift, and presenting that change in a way people can act on.
Amigo Assist helps bridge the gap between independence and visibility by combining passive sensing, machine learning, and practical alerting into a system that can support earlier awareness, clearer context, and better-informed action.
Amigo Assist is designed to support dignity, protect data, and provide assurance-ready foundations — helping families, providers, commissioners, and partners feel confident in how the platform works.
Amigo Assist is built around privacy-first sensing. It avoids intrusive monitoring approaches by using discreet ambient signals rather than cameras, microphones, or wearables in private living spaces.
The platform is built with secure handling of data, role-based access principles, controlled visibility, and secure hosting foundations designed to protect information throughout the service lifecycle.
Amigo Assist is being built to support procurement, governance, due diligence, and supplier assurance conversations with a clear and structured approach to trust, documentation, and operational maturity.
Amigo Assist is designed to support GDPR-aligned operations, secure UK-hosted infrastructure, controlled access, and stronger confidence in how data is handled across the platform.
Amigo Assist is designed not just as a technology concept, but as a platform that can support practical rollout across families, providers, supported living, and wider care settings — with privacy-first sensing, secure UK-hosted infrastructure, and assurance-ready foundations.
Privacy-first architecture
No cameras, no microphones, no wearables in private living spaces.
Assurance-ready foundations
Supports governance, due diligence, security review, and supplier assurance discussions.
From family reassurance to provider oversight and wider service visibility, Amigo Assist is designed for settings where earlier awareness matters — without intrusive monitoring.
Amigo Assist helps families stay reassured without making home life feel watched. It provides earlier visibility into meaningful routine change while still respecting dignity, privacy, and independence.
Providers gain clearer visibility into changes in routine, helping teams identify concerns earlier, support proactive care conversations, and improve operational awareness across homes and services.
Amigo Assist supports wider service visibility, more informed decision-making, and scalable approaches to proactive monitoring across supported living, community-based care, and broader service environments.
Whether the goal is family reassurance, provider oversight, or broader service visibility, Amigo Assist is designed to deliver earlier awareness without intrusive monitoring.
See the system in action
Book a demo to see how privacy-first sensors, machine learning, and practical alerts work together to support earlier awareness, safer independent living, and better-informed care decisions.
Routine learning
See how the system learns what is normal over time.
Meaningful alerts
Explore how unusual patterns are surfaced with context.
Privacy-first design
Understand the alternative to intrusive monitoring.
Real-world fit
See how it works for families, providers, and services.
What you’ll see in a demo
Clear advice. No obligation. Built for real-world care settings.