Vene provides an AI‑driven conversational caregiver that runs on existing home devices such as smartphones, smart speakers, lights, and wearables. It conducts scheduled wellness check‑ins, detects distress in real time, and can initiate personalized phone calls and contextual actions like music or lighting adjustments, all without requiring new hardware. The platform stores conversation data encrypted with user‑controlled retention, offering continuous, low‑effort support for older adults and their remote caregivers.
Funding
Funding not disclosed
Founders
Product
Problem
Current caregiving solutions focus on emergency alerts like panic buttons, leaving the majority of daily wellbeing moments—such as missed meals, loneliness, or subtle health declines—unmonitored and unsupported. Families often lack a continuous, low‑friction way to check in on loved ones without adding new devices or learning complex apps.
Solution
Vene offers an AI‑driven conversational caregiver that runs on devices already present in the home, such as smartphones, smart speakers, lights, and wearables. The platform conducts scheduled check‑ins, listens for signs of distress, and maintains a long‑term memory of personal preferences and conversation history. When a potential issue is detected, Vene initiates a calm, human‑like phone call to the resident and can trigger contextual actions like playing familiar music or adjusting lighting. All interactions are encrypted, stored only as needed, and can be cleared by the user, ensuring privacy while providing continuous, proactive support.
Target Audience
Vene is aimed at families and remote caregivers of older adults who want continuous, low‑effort monitoring and emotional support without deploying new hardware.
Features
- Conversational AI that conducts scheduled wellness check‑ins via existing smart speakers and phones
- Real‑time distress detection using signals from connected wearables and daily activity patterns
- Automatic initiation of personalized phone calls with a calm, human‑like voice when concerns arise
- Contextual actions such as playing music, dimming lights, or sending notes to caregivers based on user preferences
- Long‑term memory of family members, stories, and routines to personalize each interaction
- Integration with standard home devices—no additional hardware required
- Encrypted conversation storage with user‑controlled retention and deletion