KarbCoach is developed by Diamond Star Technologies in collaboration with
Advanced Cognitions. Our combined teams bring together expertise in data science and
applied AI, AI user experience research, generative AI, nutrition and health research, and studies of
eating patterns across different cultures and food environments.
The app is designed to give approximate, easy-to-read feedback about meals and low-spike patterns for
education and general wellness. It is not a medical device and does not replace professional healthcare advice.
KarbCoach turns messy, real-world meals into simple, approximate feedback—such as a non-clinical Karb Score, rough macro estimates, and low-spike pattern hints—so users can experiment with steadier ups and downs in their day. The goal is to support self-awareness, not to diagnose, treat, or monitor any health condition.
We imagine tools that fit around real life: restaurant meals, travel days, busy schedules, and varied food cultures. KarbCoach uses AI to suggest small, practical adjustments while leaving ultimate decisions with the user and their care team, when applicable.
Diamond Star Technologies focuses on data pipelines and AI modeling, while Advanced Cognitions focuses on AI UX research and human-centered design. Together, we draw on nutrition and health research, generative AI, and observations from different food cultures to create pattern-based estimates that are understandable, adjustable, and clearly labeled as approximations—not clinical measurements.
KarbCoach grew out of questions about why some eating patterns seem to create steadier and more comfortable days than others even when the ingredients look very similar. What began as simple experiments slowly grew into a broader exploration of how people combine foods, the role of timing and routine, and the small choices that can shape how someone feels throughout the day. Early prototypes eventually developed into an AI tool that gives practical and easy to understand feedback without requiring expert knowledge or complicated tracking. As the project gained momentum, observations from different cultures and everyday eating environments helped shape the Low Spike Lifestyle concept, showing patterns that support smoother pacing, more predictable days, and more relaxed decision making. Each new insight contributed to a design approach centered on clarity, ease of use, and the belief that guidance should fit naturally into busy lives.
Over time, the Low Spike Lifestyle idea has been explored with groups and individuals who wanted a calmer and more balanced approach to eating and daily living without extreme diets, strict programs, or intense routines. What often emerged was a shared sense of ease, along with a feeling of being more aware of the choices that support steadier days. People reported that gentle adjustments were easier to maintain, such as pairing foods more thoughtfully, adding movement where it fit naturally, and noticing how daily habits, social interactions, and mindful routines influence overall well being. Many described the experience as a more joyful and feel good way of living, shaped by balance rather than pressure or perfection. These observations continue to guide the development of KarbCoach and support the idea that a sustainable lifestyle grows from small decisions made with clarity, comfort, and confidence.
We’re interested in careful, evidence-informed collaborations that explore low-spike patterns without overclaiming what AI can do.