Cognitive Companion helps families keep seniors safer at home by noticing meaningful routine changes, preserving personal memories, and giving caregivers calm, timely awareness.
Aging at home should not require constant surveillance or persistent worry. Cognitive Companion turns local home signals into useful care context: where someone is, what changed, when help may be needed, and which memories or routines can support the next moment.
Reliably detect routine anomalies, prolonged stillness, pacing, and unusual room transitions. The system uses stable presence tracking to provide calm, reliable awareness.
Store family facts, medication notes, and preferences in a personal knowledge repository. This powers grounded voice responses, family-approved info cards, and interactive memory quizzes delivered to the senior via the companion web app, e-ink displays, and Home Assistant speakers.
Route behavioral signals, daily summaries, and reviewable alerts directly to caregivers. The system integrates with Telegram and custom webhooks to keep families informed with actionable context, rather than a constant stream of raw camera footage.
A medication reminder appears on an e-ink display and can be read aloud.
The system notices a routine change and waits for context before alerting.
A senior asks about grandchildren and hears a trusted answer from family-curated memory.
A caregiver receives a concise summary instead of a stream of false alarms.
Cognitive Companion is for households where care is shared. It helps you understand daily rhythms, preserve personal history, support natural conversation, and stay aware when a routine shifts unexpectedly.
Read the family overviewFor health plans, senior-care providers, and care organizations, Cognitive Companion is privacy-preserving aging-in-place infrastructure. Local-by-default inference improves unit economics, while consistent reliability drives long-term retention and earlier risk signals.
Explore the architecturePrivacy is an architectural requirement. Vision, language, embeddings, and reasoning process entirely on local hardware to build lasting trust.
Rules and pipelines are configurable so sensitive actions stay human-in-the-loop.
The system is built to adapt. Pipelines, notification channels, context filters, and agent tools can be extended.
The system supports families and care teams. It does not replace professional judgment.
Cognitive Companion combines distributed systems and applied machine learning. The stack includes realtime sensor fusion, Bayesian identity resolution, edge-native architecture, vision reasoning for complex rule pathways, and MCP tool support. These components are fully documented for teams who want to deploy, inspect, or extend the system.
