Clinical nutrition
How dietitians and nutritionists work in practice — the workflows, constraints, and judgment calls that software should support, not flatten.
- Clinical decision support
- Dietetic workflows
- Evidence-based practice
Research
Inquiry before implementation.
Every product we build starts with research — understanding the domain, the people, and the problem deeply before a single line of code is written.
Focus areas
Our research spans the domains where our products live — clinical nutrition, food science, and the design of health technology. We study how people work, decide, and live before we build.
Food transparency
What people actually need to know about the products they buy and eat — and how to surface that information without overwhelm.
- Ingredient literacy
- Label interpretation
- Consumer health
Human–AI collaboration
Building AI systems that earn trust in high-stakes contexts — where the human stays in control and the machine does the heavy lifting.
- Clinical AI
- Explainability
- Responsible automation
Health product design
The intersection of wellness, everyday life, and software — making tools that people want to use, not just need to use.
- Behavioral design
- Accessibility
- Product craft
Approach
How we conduct research.
01
Start in the field
We spend time with practitioners and users before writing code. Understanding real workflows is non-negotiable.
02
Prototype in context
Early versions are tested where they'll actually be used — clinics, kitchens, grocery aisles — not just in a lab.
03
Publish what we learn
Insights from our research inform our products and, where useful, are shared with the broader community.
Collaborate
Research partnerships and academic inquiry.
We're open to collaborating with researchers, clinicians, and institutions working in our focus areas. If you're exploring similar questions, we'd like to hear from you.
hello@nororg.com