Customer Service Automation
Hexis needed to translate dense exercise physiology and nutrition science into instant, personalized athlete guidance while synchronizing wearable data globally and shipping new product features much faster.
Reported impact
Hexis delivered near-instant nutritional guidance, accelerated feature development, and built the basis for an automated digital coach that can scale beyond elite sports organizations.
Hexis uses Google Cloud to address this challenge: Hexis needed to translate dense exercise physiology and nutrition science into instant, personalized athlete guidance while synchronizing wearable data globally and shipping new product features much faster. Compute Engine processes training, meal, and wellness data and runs the stateless application instances that power real-time coaching, serving as the compute layer. Cloud SQL for PostgreSQL stores the multi-regional athlete data that stays synchronized across Europe, the US, and Australia, serving as the storage layer. Gemini interprets natural-language, image, and voice inputs and converts them into structured nutrition data and coaching explanations, serving as the serving layer. Gemini Notebook centralizes scientific research into an internal knowledge base that accelerates onboarding and feature work, serving as the serving layer.
Workout and wellness signals from connected devices sync into a multi-regional Cloud SQL store, Compute Engine processes the data for the Carb Coding system, and Gemini turns photos, voice notes, and natural-language questions into structured nutrition outputs and coaching responses.
10x faster feature development with
<50 milliseconds to deliver nutritional insights
Hexis engineers used Gemini to design, build, and launch a new Nutrients feature in just three days, 10x faster than the estimated 30 days.
Hexis uses Compute Engine-managed instance groups and a multi-regional Cloud SQL for PostgreSQL database to continuously sync live workout and wellness data from connected fitness devices.
Hexis uses Google Cloud and Gemini to scale its nutrition OS for human performance globally and ship features 10x faster.
Taking a picture of a plate of food or recording a quick voice note triggers Gemini.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The public company page's embedded Organization metadata includes numberOfEmployees value 27.
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