Collect standardized meal images, AI outputs and nutrition records across participants and research protocols.
Monitor food intake and nutrition follow-up with more objective meal data.
Reduce manual observation and make nutrition information easier to review.
Support professionals with a clearer view of portions, intake patterns and nutritional risk.
In Clinical Research, manual food logging and fragmented information can make it difficult to monitor intake, portions, service performance or nutrition-related decision-making consistently.
A developer API for turning food images into structured data: recognition, nutrition, quantity estimation, intake monitoring and recommendation workflows.
Web platform for professionals and client organizations
A mobile app for capturing meals, reviewing AI results and tracking food and nutrition data.
Tell us about your workflow, users or operational environment and we will recommend the right setup.
