Flagship case study
Technology that stays present when you can't be.
From one family's caregiving need to an AI-enabled assistive-technology platform.
01 - The challenge
Nighttime confusion, sundowning, repetitive questions, isolation, missed routines, and caregiver exhaustion create a need for support that is calm, familiar, and available across daily and overnight routines.
02 - The origin
I built the first Luka Bear for my father, who lives with Alzheimer's disease. The original goal was simple: answer his questions, provide familiar reassurance, support daily routines, and remain available during the night.
My role
Luka Bear required hands-on leadership across strategy, design, development, documentation, deployment, and commercialization.
Platform architecture
The platform links resident experience, personalization, caregiver action, and implementation evidence.
Connected experience
Resident interactions are supported by authorized caregiver configuration, communications, family media, reminders, and activity records.
Key capabilities
Biography-informed conversation, familiar topics, family information, preferences, and routines.
Games, orientation, reminiscence, music, guided routines, and general-wellness activities.
Independent resident profiles designed for shared household and care-community environments.
Authorized remote interaction, reminders, engagement activities, communication, and configuration.
Reassurance and caregiver-configured notification and escalation.
Photos, voice messages, video communication, and authorized family-voice features.
Video-free, consent-video, and fuller private-pay configurations depending on the environment.
Activity records, caregiver feedback, implementation documentation, and evidence-building workflows.
Development journey
Built for Eduard's father.
Voice interaction, personalized data, reminders, music, and family information.
Activities, caregiver communications, remote access, and alerts.
Independent profiles, voice switching, facility-use design, and administrative controls.
Privacy documentation, consent models, technical portfolio, HCBS positioning, and evidence infrastructure.
Home and care-community use, onboarding, support, trials, and ongoing improvement.
Current commercial stage
Results and evidence
Current evidence is qualitative and implementation-based; Luka Bear does not make clinical-trial or medical-outcome claims.
Selected collaboration
I welcome conversations about AI-enabled care, assistive technology, caregiver tools, secure web products, implementation, deployment, reimbursement readiness, and person-centered services.