Making Health
Personal

Delta started from a personal constraint, not a market thesis. While working in China at Geely Auto International's global AI research center on vision transformers, I was training seriously as a lifter in an environment that wasn't built for it. The cafeteria food was optimized for a typical local diet, not high-protein intake. To meet my nutrition needs, I walked daily to KFC and Starbucks, manually stripping chicken skin to control fat and piecing together meals through trial and error. I ran several kilometers each day to a small hotel gym because I didn't have a car, adapting my training to whatever equipment was available.

I relied heavily on ChatGPT and search to manage nutrition, training, and recovery—but I kept running into the same fundamental problems. ChatGPT had no persistent memory. It forgot my goals, my diet, and my constraints unless I re-explained them. Its context window broke continuity. It had no real sense of time, so daily macros and patterns drifted. Long conversations degraded, hallucinations crept in, and restarting sessions meant rebuilding state from scratch. That friction revealed the real problem: health intelligence can't live inside a stateless chatbot or generic search tool. It needs persistent memory, temporal awareness, and the ability to reason over patterns across days, weeks, and months without being reminded.

Delta was born as a dedicated health intelligence system—one that maintains continuity, understands personal constraints, tracks change over time, and generates insights from real patterns rather than one-off prompts. Not a generic health app, and not a chatbot wrapper, but a system designed from the ground up to support real life as it happens.