Personalized nutrition platform powered by food data science and AI
WISEcode builds a nutrition platform layered on proprietary food data, ML models, and inference systems. The tech stack spans mobile (Flutter, React Native, iOS, Android) and backend services (ASP.NET, Hasura), with recent adoption of .NET signaling a consolidation toward the Microsoft ecosystem. The hiring mix is heavily senior and principal engineers (7 of 9 open roles) clustered in engineering, paired with active projects around AI-assisted nutrition logic, food ontology design, and instrumentation pipelines — indicating they're scaling inference capability and data infrastructure rather than headcount broadly.
Notable leadership hires: UX Design Lead
WISEcode develops a personalized nutrition platform that combines proprietary food databases, machine-learning models, and AI-assisted logic to translate individual health goals into dietary recommendations. The product surfaces across mobile (iOS, Android, Flutter) and web interfaces powered by a backend stack of ASP.NET services and Hasura GraphQL. They operate at the intersection of nutrition science, food data taxonomy, and consumer health tech, serving individual users and likely enterprise nutrition or wellness verticals. At 11–50 people, they're in the scaling phase: recent projects focus on formalizing food ontology, building inference systems, and adding feature flagging for staged rollouts — hallmarks of moving from prototype toward production deployment.
WISEcode uses Flutter, React Native, iOS, and Android for mobile; ASP.NET, Blazor, and .NET for backend services; Hasura for GraphQL; and LaunchDarkly for feature flags. They are actively adopting .NET as a service layer.
Active projects include AI-assisted nutrition logic integration, food ontology design, inference system development, feature flagging integration, and instrumentation pipelines to measure feature impact on users.
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