Intuition Robotics develops ElliQ, an empathetic AI companion that utilizes a proprietary Relationship Orchestrator to foster ongoing, personalized interactions with older adults. This technology addresses loneliness and social isolation by promoting health engagement and improving social connectedness, resulting in a 95% reduction in loneliness and a 90% improvement in health and wellness among users.
Funding
$88M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
WCFounders
Product
Problem
Many older adults experience loneliness, social isolation, and reduced engagement in health and wellness activities, which can negatively impact their overall quality of life and well-being. Traditional methods of addressing these issues often require significant human intervention and may not be scalable or consistently available.
Solution
Intuition Robotics offers ElliQ, an AI-powered care companion designed to proactively engage older adults and foster meaningful connections. ElliQ utilizes a proprietary Relationship Orchestrator that integrates multiple large language models to create empathetic, contextual, and ongoing interactions. By understanding user goals and context, ElliQ initiates timely conversations and suggestions, promoting health engagement, social connectedness, and overall well-being. The system leverages a combination of speech, body language, text, images, lights, and sounds to interact with users in a natural and familiar way, adapting to individual needs and preferences.
Target Audience
The primary target audience is older adults seeking companionship, improved health engagement, and increased social connectedness, as well as their families and caregivers.
Features
- Relationship Orchestrator: AI engine that builds relationships between humans and machines by mimicking human-to-human interactions.
- Context Extraction: Extracts and classifies memories from conversations to inject context into future interactions.
- Multi-modality: Uses speech, body language, text, images, lights, and sounds for natural and familiar interactions.
- Goal-Oriented: Decision-making algorithm driven by user-defined and care team-defined goals related to healthy aging.
- Personalization: Tailors the user experience based on individual context and interaction history.
- Proactivity: Initiates conversations and suggestions based on user goals, availability, and probability of success.