The DeepEdge platform is an integrated deep learning development platform that enables developers and enterprises to build, train, optimize and deploy deep learning models and applications to a variety of edge hardware. It is an industry-first, low-code, no-code deep learning development platform purpose-built for Edge applications. The platform includes DeepData for advanced dataset management, DeepLabel for annotation, DeepTrain for model training, and DeepDeploy for seamless deployment. DeepEdge allows developers to maximize value by focusing on building industry solutions with cloud-to-edge capabilities, enabling models to be trained in the cloud and deployed on various edge hardware like Ambarella, Intel, NVIDIA, Xilinx, and ARM. The platform emphasizes speed, allowing models to be built, trained, and deployed in hours rather than weeks, with rapid iteration cycles. It ensures accuracy by optimizing models for performance without losing accuracy across different edge hardware. DeepEdge is designed for scale, enabling seamless growth from POC to production on AWS. The platform fosters collaboration among data scientists, developers, annotators, and business teams across company sites. It offers flexibility with options to train custom models, import pre-trained models, or use reference models from DeepZoo. DeepEdge provides a rapid start with no software downloads required, allowing users to begin training models directly in their browser. The platform is data-driven, supporting continuous model updates as more data becomes available. DeepEdge also offers Platform Services and Falcon Services, leveraging in-house experts to accelerate product roadmaps and provide deep engineering expertise. Customers retain complete ownership of their data, custom models, and applications developed on the platform.