Dataloop and Qualcomm Collaborate to Create and Deploy AI Models for Devices Powered by Snapdragon

Dataloop AI, an end-to-end, data-centric AI development platform, has announced at Snapdragon Summit a collaboration with Qualcomm Technologies to accelerate AI model development for mobile, automotive, IoT, and other computing devices powered by Snapdragon platforms.

With the newly established, fully automated AI pipeline on the Dataloop AI platform, application and model developers gain direct access to comprehensive AI development tools for building models tailored to devices powered by Snapdragon® platforms. These models can then be seamlessly deployed using Qualcomm® AI Hub across a wide array of devices.

The platform’s automated pipeline streamlines the entire AI lifecycle, including data curation, labeling, model fine-tuning, and integration with Qualcomm AI Hub, which compiles, optimizes, and profiles models for deployment.

"The Qualcomm AI Hub enhances the efficiency of AI development," Nir Buschi, Co-Founder and CBO of Dataloop AI, commented. "Dataloop’s comprehensive platform simplifies the entire AI lifecycle, while Qualcomm Technologies’ innovations enable models that are optimized for deployment on edge devices, empowering developers to bring AI solutions to market faster."

The platform supports AI teams throughout the entire AI deployment process, enabling them to consistently build and deploy applications swiftly and accurately. With its data-agnostic approach and support for unstructured data, Dataloop addresses the needs of industries handling complex data workflows and AI model training challenges.

"With our automated pipelines and robust data management, developers can effortlessly create powerful AI systems and seamlessly deploy them on-device using Qualcomm AI Hub," added Siddhika Nevrekar, Senior Director of Product Management at Qualcomm Technologies.