Opis provides AI-powered food tracking solutions specifically designed to streamline data collection for clinical trials. The platform uses advanced image and voice recognition to enable effortless nutritional logging by trial participants. This technology improves patient compliance and enhances the reliability and quality of collected dietary data for research purposes.
Funding
Funding not disclosed
Founders
Product
Problem
Collecting accurate and comprehensive nutritional data in clinical trials is challenging due to the manual and time-consuming nature of traditional logging methods. This often leads to patient burden, incomplete datasets, and compromised trial reliability.
Solution
Opis provides an AI-powered nutrition tracking platform designed to streamline data collection for clinical trials. The system leverages advanced image recognition, voice logging, and barcode scanning to enable effortless recording of food intake. By integrating behavioral research principles and a smart reward system, Opis enhances patient compliance and engagement, thereby improving the quality and completeness of nutritional data. The platform is built to address the specific requirements of clinical research, ensuring efficient data processing and robust patient privacy.
Target Audience
The primary customers are clinical researchers, pharmaceutical companies, and contract research organizations (CROs) conducting studies where precise nutritional data is critical.
Features
- AI-powered image recognition for automated food logging from meal photographs.
- Support for voice logging and barcode scanning as alternative data input methods.
- Integration of behavioral science principles to improve patient adherence and data accuracy.
- A smart reward system designed to incentivize consistent patient participation.
- Tailored workflows and data output formats optimized for clinical trial requirements.
- Robust data security measures, with ongoing efforts towards SOC2 certification.
- User-friendly interface designed to minimize patient burden and training overhead.