Active Deployments
5
Home and facility deployments currently active.
Early Real-World Evidence (Non-Clinical, Aggregate)
Public Aggregate Evidence Dashboard
De-identified real-world pilot signals across home and facility settings
This page summarizes early caregiver-reported outcomes, engagement activity, deployment duration, and feature-level observations from Luka Bear pilots across home and facility settings.
Home + Facility Pilots
12 Patients Supported
Privacy-Safe Aggregate Data
Updated Continuously
Includes long-term home use up to 15 months and active multi-resident facility deployment.
Includes continuous home use up to 15 months and active daily facility engagement.
Outcome Summary
Early Outcome Signals (Aggregate)
Based on 12 patients across 5 deployments (MD + PA).
Across current home and facility deployments, early pilot signals indicate:
- Reduced repetitive-question cycles in most active home cases
- Fewer overnight caregiver interruptions during active nighttime support periods
- Increased engagement time through games, media, and conversation
- Strong adoption of personalized conversation in long-term home use
- High daily engagement in multi-resident facility settings
These observations are based on caregiver-reported experience and early aggregate pilot activity.
Primary KPIs
Current Pilot Footprint
Patients Supported
12
Aggregate home and facility support footprint.
Settings
Home + Facility
Active use is now visible across both private-home and multi-resident facility settings.
Longest Active Case
15 months
Long-term home use is already visible in the current footprint.
Caregiver Stress Trend
High -> Moderate
Caregiver-reported early pilot estimate across active home cases.
Nighttime Interruptions
2-4/night -> 0-1
Caregiver-reported early pilot estimate during active nighttime support periods.
Repetitive Questions
Down 30-60%
Reduction in repetitive-question burden is reported in the majority of active deployments (4 of 5).
Engagement Frequency
+45 min/day
Early pilot estimate based on games, media, and conversation across active use settings.
Before & After
Observed Before vs After (Early Pilot Estimates)
| Metric | Before Luka | After Luka | Notes |
|---|---|---|---|
| Night interruptions | 2-4 per night | 0-1 per night | Caregiver-reported during active nighttime support periods |
| Caregiver stress | High | Moderate | Observed in recurring home-use cases with strong reassurance patterns |
| Engagement time | ~20 min/day | ~1-1.5 hours/day | Early pilot estimate from games, media, and personalized conversation |
| Repetitive-question cycles | High repetition | 30-60% lower | Caregiver-reported in the majority of active deployments |
Reporting Status
Reporting Status
Weekly caregiver check-in system is now active. Initial reporting signals are already visible here and expand as active home and facility use continues.
Early pilot signals indicate reduced caregiver interruption patterns, increased engagement time, and improved management of repetitive-question cycles.
Visual Trend
Observed Usage & Burden Trend
Nighttime Disruptions
Before support period
2-4/night
After support period
0-1/night
Daily Engagement Time
Before active Luka use
~20 min
After active Luka use
~1-1.5 hrs
Repetitive Questions Burden
Baseline burden
High
After personalized use
Down 30-60%
Usage Signals
Real-World Usage Signals
Long-term home use
Home deployments now include cases active up to 15 months.
Daily facility engagement
Staff observed repeated resident interaction in the facility setting.
Frequent games and media requests
Touchscreen games, music, and YouTube requests appear often in Pennsylvania facility use.
Deep personalized conversations
Maryland home users spend meaningful time in biography-based conversation with Luka.
Multi-resident usage
One facility device is supporting engagement across multiple residents in a shared setting.
Reporting By Setting
Current Deployment Mix
Home vs Facility Patients
Early footprint already spans both private-home and multi-resident facility use.
Deployments by State
Two-state activity supports early multi-market validation.
Current Mix Summary
- Home Care - Maryland: 3 patients
- Home Care - Pennsylvania: 1 patient
- Facility Pilot - Pennsylvania: 1 deployment serving 8 patients
- Total patients supported: 12
The current footprint is early, but it is already active across multiple settings and care environments.
Duration
Deployment Timeline & Duration
Home Care | Maryland
3 patients active
- 2 patients: 15 months active use
- 1 patient: 5 months active use
Long-term continuous usage observed in the home caregiving setting.
Deep personalized conversation is one of the strongest recurring use patterns in Maryland home cases.
Home Care | Pennsylvania
1 patient active
- 5 months of ongoing use
Ongoing engagement with consistent use of conversation and support features.
Facility Pilot | Pennsylvania
8 patients supported
- Started March 2026
Early-stage deployment with active daily engagement across residents.
Caregiver Impact
Caregiver Impact
Luka Bear is designed to reduce caregiver burden through reassurance, structure, personalization, and engagement, especially during repetitive-question cycles, loneliness, and evening or nighttime distress.
Luka Bear is designed to reduce caregiver burden by providing reassurance, structure, and engagement during high-stress periods such as repetitive questioning, loneliness, and nighttime confusion.
Caregiver Stress
Caregivers report
Caregivers report lower day-to-day stress when Luka is used for reassurance, conversation, and redirection.
Overnight Interruptions
Early pilot signal
Caregivers report fewer overnight interruptions after Luka handles initial reassurance and redirection.
Repetitive Questions Burden
Caregivers report
Caregivers report lighter repetitive-question burden after personalized conversation patterns are established.
Respite / Relief Time
Observed
Observed engagement windows give caregivers short relief periods while Luka supports occupied time and familiar routines.
Engagement / Occupied Time
Observed in home and facility use
Games, media, and conversation patterns are observed to reduce idle time and increase active engagement across settings.
Emotional Reassurance Value
Caregiver-reported observation
Calming language, personalized familiarity, and support routines are among the strongest reported value signals.
Feature-Level Proof
Feature Evidence Signals
Deep Personalization
Active signalBiography-based personalization, family prompts, routines, preferences, and familiar identity support.
- Long-term home users up to 15 months continue to engage in deep personalized conversation
- Caregivers report extended conversational engagement using biography-based responses
- Personalized content is active in the Maryland home pilot footprint
- Caregivers reported calmer redirection and greater familiarity during personalized interactions
What this means: Personalization helps Luka feel familiar, relevant, and more engaging over time.
Emotional Support
Early pilot signalAnxiety support, grounding, sleep support, loneliness support, guided breathing, and transition routines.
- Calming language and reassurance are among the most valued support patterns in home care
- Support routines are part of active home usage patterns
- Caregivers report reassurance value during evening distress, loneliness, and transitions
- Observed calming sessions help sustain engagement when stress rises
What this means: Emotional support features help Luka provide steady reassurance during distress, loneliness, and transition periods.
Cognitive Engagement
Observed dailySpoken games, touchscreen games, and simple brain engagement activities.
- Touchscreen games are actively used by the majority of residents in the facility setting
- Repeated daily engagement observed in the facility pilot
- Most-used game type currently trends toward touchscreen interaction
- Staff observed recurring participation across residents during daytime activity periods
What this means: Games and simple brain engagement features increase activity, interaction, and structured engagement.
Family & Connection
Observed signalCalls, video calls, family photo interactions, help alerts, and caregiver connection features.
- Photo-based familiarity and family-linked personalization are part of active home use
- Caregivers report stronger familiarity when family-linked prompts are part of conversation flow
- Connection features help bridge familiarity, communication, and reassurance
- Observed photo and identity prompts support calmer transitions back into conversation
What this means: Family-facing features help Luka support familiarity, communication, and caregiver connection.
Daily Support
Observed signalMedication reminders, appointments, date and time orientation, weather, news, and translation support.
- Daily support interactions are part of the broader home workflow
- Reminder and orientation prompts are observed as part of routine daily interaction
- Routine-support features reinforce structure beyond conversation alone
- Caregivers report that routine cues help keep Luka useful throughout the day
What this means: Daily support features make Luka useful beyond conversation by reinforcing routine and orientation.
Entertainment & Familiar Media
Observed in both settingsYouTube requests, music requests, and repeated familiar media engagement.
- Frequent YouTube and music requests observed in both home and facility settings
- Residents repeatedly request familiar content in the Pennsylvania facility pilot
- Multiple daily voice-led requests for familiar content are part of active usage patterns
- Familiar media appears to support comfort, engagement, and redirection
What this means: Familiar media helps Luka provide comfort, engagement, and redirection.
Cognitive Guardian / Night Protection
High-value feature groupSundowning support, pre-sleep calming, motion-triggered response, nighttime prompts, escalation logic, and caregiver alert support.
- Nighttime reassurance sessions are among the most valuable feature groups in current pilots
- Early pilot observations suggest fewer overnight caregiver interruptions
- Caregivers report fewer overnight redirection demands between 11 PM and 3 AM
- Observed nighttime support periods are associated with calmer overnight management
What this means: Nighttime support is designed to reduce burden during evening confusion, repeated waking, and overnight distress.
Facility Activity
Resident Engagement Activity (Facility Pilot)
Touchscreen Games
Most residents actively use touchscreen games during the day.
- High engagement across the majority of residents
- Repeated daily use observed
Media & YouTube
Frequent requests for music and YouTube videos are observed in the facility setting.
- Multiple daily content requests
- Familiar artists and videos requested repeatedly
Voice Interaction
Residents regularly initiate interaction through simple voice prompts.
- Activity requests
- Media requests
- Conversational prompts
Engagement Insight
In the facility setting, Luka Bear is primarily used for engagement, redirection, and activity support, reducing idle time and increasing resident interaction.
Feature Activity
Most Used Luka Features
1 Touchscreen Games
Strongest current facility signal
2 Deep Personalization
Long-term home engagement driver
3 Music / YouTube Entertainment
Repeated familiar-content requests
4 Night Monitoring / Cognitive Guardian
High-value home-care reassurance feature
5 Emotional Support / Guided Breathing
Important during stress and transition periods
6 Family Photo Recognition
Supports familiarity and identity prompts
7 Repetitive Question Support
Caregiver-reported support during repetitive-question cycles
8 Medication Reminders
Routine support category
Ranking reflects observed usage patterns across active pilots, including both home and multi-resident facility settings.
Pilot Notes
Anonymous Pilot Observations
The observations below are anonymized and intended as early pilot signals, not clinical claims.
Home pilot - Maryland: caregivers reported long, deep personalized conversations driven by biography-based prompts and familiar topics.
Home pilot - Maryland: one caregiver reported fewer repeated evening questions after personalized conversation patterns were established.
Home pilot - Maryland: one caregiver reported sleeping longer on nights when Luka handled initial reassurance.
Home pilot - Pennsylvania: personalized conversation and calming routines increased willingness to engage.
Facility pilot - Pennsylvania: staff observed that most residents actively used touchscreen games during the day.
Facility pilot - Pennsylvania: staff observed frequent resident requests for YouTube videos and familiar media.
Facility pilot - Pennsylvania: active overnight support periods were associated with fewer redirection demands between 11 PM and 3 AM.
Caregiver Voice
Caregiver-Reported Quotes
Short anonymized statements reflecting recurring caregiver experience across active pilots.
“
Luka answers the same question 20 times so I don't have to.
“
Nights are calmer now.
“
He talks to Luka instead of getting anxious.
“
Personalized conversation keeps her engaged much longer than before.
“
The games and music give us breathing room during the day.
Differentiation
Why Luka Is Different
Biography-Based Personalization from Day 1
Luka is designed to engage using a person's family, preferences, routines, and life story, helping interactions feel more familiar and meaningful.
Night Monitoring + Multi-Level Response
Luka combines calming prompts, reassurance, and escalation support to help reduce caregiver burden during evening and overnight periods.
One Device, Multiple Profiles
The platform can support personalized interactions across different people and care environments, which matters in family and facility settings.
Voice + Touch Interaction
Residents and families can interact using both voice and touchscreen patterns, making Luka more flexible across comfort levels and settings.
Family Media + Recognition Support
Photos, familiar media, and family-linked personalization help Luka support comfort, identity prompts, and connection.
Games + Brain Engagement in One System
Luka combines conversation, media, and simple engagement tools so it can support reassurance, activity, and occupied time in one place.
Economic Signal
Estimated Impact (Early Pilot Signals)
1-2 caregiver hours/day
Observed engagement windows suggest Luka can help return short daily blocks of caregiver time during repetitive-question cycles, media requests, and reassurance periods.
Lower burnout pressure
Caregiver-reported stress reduction and fewer overnight interruptions point toward lower burnout risk in active home cases.
Potential delay of facility placement
Long-term home use up to 15 months suggests Luka may help support aging in place for longer when paired with caregiver involvement.
Implications
What This Means for Healthcare
Supports aging in place
Long-duration home use suggests Luka can support continued home caregiving with more structure and reassurance.
Reduces caregiver burden
Observed shifts in stress, interruptions, and repetitive-question cycles align with core caregiver burden drivers.
Scales across home + facility
Current pilots already show active use in both one-to-one home care and multi-resident facility environments.
Works without wearables or training-heavy setup
Luka supports voice, touch, familiar media, and personalization without requiring residents to adopt a new wearable workflow.
Privacy & Safety
Data & Privacy Notes
This dashboard presents de-identified aggregate pilot information only. No names or personal health information are shown. Observations are early pilot-stage signals and do not constitute clinical claims. Luka Bear is a non-medical assistive technology system and does not replace emergency services. In any emergency, call 911.