Brings your health data into one interface
Connects wearable, blood, food, supplement, and symptom data so you can ask health questions in one place.
Kim is an iPhone-based AI health assistant that helps users interpret Apple Health, wearable, lab, food, and supplement data in plain language. It is designed for wellness tracking, pattern finding, and personal experiments rather than medical advice.
Kim is an AI health assistant from Oculi Medical that helps people understand their own health data through conversation. It brings together wearable data, Apple Health data, bloodwork, food logs, supplements, and self-tracking notes so users can ask questions about sleep, recovery, nutrition, and fitness in plain language.
The product is positioned as a personal assistant for wellness interpretation rather than diagnosis. It can read lab PDFs, explain what looks off, summarize trends, and connect patterns across data sources to help users decide what may be working, what may not, and what to change next.
Connects wearable, blood, food, supplement, and symptom data so you can ask health questions in one place.
Reads uploaded lab PDFs and flags values that look off, with explanations and trend tracking over time.
Checks supplement timing, gaps, and possible interactions using your labs and wearable data.
Turns a week of activity, sleep, recovery, and biomarker data into a summary of what improved and what to change next.
Surfaces patterns from your own data, such as how magnesium nights relate to deep sleep or how caffeine timing may affect recovery.
Supports conversation-based tracking for food, calories, macros, habits, reminders, and wellness experiments.
Ask questions about sleep, recovery, energy, and training while Kim compares wearable and Apple Health data with the rest of your context.
Upload a lab PDF and review what looks off, what is trending, and what may be worth monitoring next.
Track food, calories, macros, meals, supplements, and habits, then connect them to sleep, energy, and workouts.
Test a question such as whether magnesium affects sleep or caffeine affects HRV using your own data and check-ins.
Review supplement timing, possible interactions, and missing gaps against your wearable and blood data.
No. The site says Kim works with whatever you have, including wearable data, food logs, symptoms, or just questions. Bloodwork is optional, though it can unlock deeper insights.
The source specifically mentions Apple Health data, so Apple Health is a confirmed data source. The public pages also reference wearables generally, but they do not list every supported brand.
No. The site describes Kim as a wellness and health assistant for understanding data and patterns, and says it is not medical advice.
The resources page says Kim’s answers are supported by cited web sources, and the home page says responses are backed by medical research.
The site includes a privacy-related FAQ prompt, but the supplied content does not provide the full answer. It only indicates that privacy and security are a common question for users.
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