Dataloop AI has announced at Snapdragon Summit a collaboration with Qualcomm Technologies. This collaboration aims to accelerate AI model development for mobile, automotive, IoT and other computing devices powered by Snapdragon platforms.
With the newly created, fully automated AI Pipeline on the Dataloop AI platform, application and model developers gain direct access to a comprehensive suite of AI development tools for building models and applications tailored for devices powered by Snapdragon platforms. They can then use Qualcomm AI Hub to deploy these models across a wide array of devices powered by Snapdragon platforms.
Dataloop enables AI developers to streamline the entire AI lifecycle through an automated pipeline that includes data curation, labelling, model fine-tuning and integration with Qualcomm AI Hub, which compiles, optimises and profiles the ready-to-deploy model.
Nir Buschi, the co-founder and CBO at Dataloop AI, said, “The Qualcomm AI Hub helps enhance the efficiency of AI development. Dataloop’s comprehensive platform simplifies the entire AI lifecycle, while Qualcomm Technologies’ innovations enable models that are optimised and ready for deployment on edge devices, empowering developers to accelerate innovation and bring AI solutions to market faster.”
Siddhika Nevrekar, the senior director of product management at Qualcomm Technologies, said, “Qualcomm Technologies is collaborating with Dataloop to streamline on-device AI deployment. With Dataloop’s automated pipelines and robust data management, developers can create powerful AI systems and deploy them on-device using our Qualcomm AI Hub.”
Dataloop supports AI teams throughout the entire AI application deployment process, enabling them to consistently build and deploy applications swiftly and accurately. With its data-agnostic approach and support for diverse types of unstructured data, it addresses the needs of industries dealing with complex data workflows and challenges in data quality and AI model training.
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