Dieta utilizes proprietary stool image recognition technology to convert images of bowel movements into objective clinical data, providing a precise measurement of digestive health. The platform offers personalized insights and recommendations for individuals suffering from irritable bowel syndrome (IBS), helping them navigate treatment options effectively.
Funding
$700K 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.
Founders
Product
Problem
Irritable bowel syndrome (IBS) management is often complicated by the subjective nature of stool assessment, which relies on patient self-reporting and can be inaccurate. This subjectivity makes it difficult for physicians to evaluate symptoms, diagnose effectively, and judge the success of treatments.
Solution
Dieta provides a mobile application that uses proprietary stool image recognition technology and artificial intelligence (AI) to offer objective clinical data on digestive health. The app analyzes images of bowel movements captured via smartphone, characterizing stool based on visual characteristics such as Bristol Stool Scale (BSS), consistency, fragmentation, edge fuzziness, and volume. This AI-driven approach removes the subjectivity of patient reporting, offering a more accurate and complete description of stool characteristics comparable to expert gastroenterologists. By tracking food, activity, medication, and symptoms, Dieta aims to provide personalized insights and recommendations, helping individuals with IBS navigate treatment options and manage their symptoms more effectively.
Target Audience
The primary target audience includes individuals suffering from irritable bowel syndrome (IBS) seeking personalized insights and effective management of their digestive health, as well as gastroenterologists and clinical researchers.
Features
- Proprietary stool image recognition technology using computer vision to analyze stool images.
- AI-driven assessment of stool characteristics, including BSS, consistency, fragmentation, edge fuzziness, and volume.
- Food, activity, medication, and symptom tracking capabilities.
- Personalized insights and recommendations based on data analysis.
- Mobile app for convenient image capture and data logging.
- Data-driven approach to uncover insights that may not be apparent through traditional methods.