Neurealm delivered an edge-to-cloud, GUI-based no-code AI platform enabling users to capture, annotate, train, compile, and deploy AI models to embedded edge devices — all without coding expertise.

Business Context

A Tier-1 global semiconductor company needed a complete AI model lifecycle solution for its embedded devices that novice users could operate easily. The platform had to support both cloud and standalone deployments, offer multi-tenant access, handle custom datasets with transfer learning, and provide low-latency live data capture from edge cameras via a browser interface — lowering barriers for non-technical developers and accelerating model adoption on edge hardware.

Solutions

Neurealm developed a fully integrated, multi-tenant no-code platform with an intuitive GUI guiding users through data capture, annotation, training, compilation, and deployment. Key features included BYOD support for retraining on custom datasets, real-time device camera access for live inference, clear progress dashboards, unified device support, and scalable Kubernetes-based deployment. Rapid prototyping demonstrated feasibility early in the project.