Limbico is an AI-powered mental performance tracker that transforms data from wearables, smartphones, and calendars into personalized insights about mood, focus, and emotional clarity. The platform connects with devices like Apple Watch, Oura, and Whoop, using specialized AI agents to analyze physiological, behavioral, and contextual signals without requiring manual logging. It provides a Mind Score and AI-generated conversations to help users understand what drives their mental state.
Funding
Funding not disclosed
Founders
Product
Problem
People lack clear, actionable visibility into their mental state, despite the wealth of data collected by their everyday devices. Wearables, smartphones, and calendars capture physiological, behavioral, and contextual signals, but this information remains fragmented and difficult to interpret, leaving individuals without a coherent understanding of what drives their mood, focus, and emotional clarity.
Solution
Limbico is an AI-driven mental performance tracker that unifies data from wearables like Apple Watch, Oura, and Whoop, along with smartphone usage patterns and calendar events, to generate clear insights about mental state. The platform automatically analyzes physiological signals such as HRV, sleep, and stress, behavioral patterns like screen time and movement, and contextual factors like meetings and deadlines. A team of specialized AI agents processes these dimensions and combines them into a complete picture, delivering a personalized Mind Score and AI-generated conversations that help users understand and optimize their mental performance without manual logging.
Target Audience
Primary users are individuals seeking to understand and optimize their mental performance, including professionals, athletes, and wellness-focused consumers who already own wearable devices and want deeper insights into their mood, focus, and emotional clarity.
Features
- Integrates with Apple Health, Garmin, Fitbit, Oura, Whoop, Polar, Withings, Samsung Health, and Google Health for automatic physiological data collection
- Analyzes behavioral data including screen time, movement, and daily routines without requiring user input
- Incorporates calendar context such as meetings, deadlines, and travel to reveal what drives how users feel
- Employs a team of specialized AI agents that combine physiological, behavioral, and contextual data into unified insights
- Provides a personalized Mind Score with component scores, AI-generated conversations, and wellbeing questionnaires
- Uses Microsoft Azure OpenAI Service for AI processing, with data deployed in Sweden Central and not used to train foundation models