A simple way for older adults to get everyday help by voice or chat—while care teams can follow along when it matters. Built to feel human, stay clear, and protect people's privacy.

Older adults interact through voice or text in the Care Companion app. An ultra low-latency agentic AI stack (about 250 ms average voice response) handles each turn with natural overlap: adaptive interruption handling, an on-device end-of-turn model so the agent does not cut in too early, and adaptive voice speed for clarity.
How the voice-and-video care companion connects patient experience, intelligent workflows, and secure provider tooling in one line of sight.
HIPAA-aligned consent and oversight, traceable AI outputs, and encrypted sessions with no unrelated third-party analytics or ads. Open, self-hostable components keep the stack under your governance; live transcription supports users when hearing is limited.
Dual patient consent, encrypted transit and at-rest data, audit logging, and no sale of conversation data to third parties.
Components and models are composed from open-source, self-hostable software so PHI and workloads can stay on infrastructure you control—not opaque SaaS you cannot audit.
Dashboard summaries link back to source messages so providers can verify AI-generated text.
The chatbot does not diagnose; escalations and provider review keep decisions with care teams.
Voice and avatar tuned for clarity, with guardrails and encryption so sessions stay in environments you control. Built on open, self-hostable services for the privacy and deployment expectations of regulated care.
Smooth barge-in and overlap so users are not locked into rigid turn-taking when they think aloud or self-correct.
A lifelike avatar carries tone and attention—often easier to follow than text-only or flat UI for extended sessions.
About 250 ms average response time so replies land in the same breath as natural conversation.
On-device end-of-turn detection cuts down on clipped sentences and premature agent talk-overs.
Playback pacing adjusts for clarity—slower when needed, without sounding robotic or rushed.
Encrypted sessions with no third-party data sharing for unrelated analytics, ads, or model training—aligned with stacks you can self-host when policy requires it.