Sleep Management

Oryn-Somni

Oryn-Somni is a solution generation model for personalized sleep management

Overview

Oryn-Somni is a large model designed for sleep report generation aimed at sleep health management. Its core objective is to enable devices and apps to interpret users' multi-day continuous sleep data and transform this data into a safe, specific, and personally relevant sleep report. Oryn-Somni delivers tailored sleep solutions through a three-stage output. First, the model outputs an insight, which identifies key features directly derived from the raw data. Second, it provides an etiology, which pinpoints sleep issues based on the insight and the raw data. Finally, it offers a recommendation, which presents a sleep management plan grounded in both the insight and the etiology. The model is characterized by its personalization, adherence to factual data, and its ability to infer potential root causes of sleep issues based on the evidence.

Core capabilities

Extracting Key Sleep Features

It organizes and filters critical raw information, with a focus on workday/weekend rhythms, duration, efficiency, wakefulness, and other chronobiological metrics, while filtering out irrelevant and redundant data.

Identifying Multi-Dimensional Sleep Patterns

By integrating domain knowledge, it pinpoints key patterns of sleep issues—such as sleep insufficiency, circadian drift, sleep fragmentation, etc., and conducts reasoning and validation using multiple evidence.

Generating Safe, Specific, and Actionable Recommendations

It generates plans that remain faithful to the facts and adhere to established sleep expertise, while also taking into account the user's actual sleep patterns to produce encouraging, gradual sleep adjustment plans.