The acquisition of Dataloop would strengthen Dell's AI infrastructure capabilities with the company's AI development platform, which enables AI applications to access large amounts of relevant data from a variety of sources.
Dell Technologies may be looking to expand its AI infrastructure capabilities by acquiring Dataloop, an Israel-based startup that provides technology to modernize the data stack used in AI.
Tech news outlet Calcalist reported on Wednesday that Dell is currently in talks with Dataloop to acquire the company.
Dell responded to CRN's request for further information with the following statement via email: “We have been discussing continuing to pursue smaller, tuck-in, IP-enhancing M&A that accelerates our product roadmap.”
[Related: Dell’s AI Charge: Think Faster, Act Smarter]
Dataloop did not respond to CRN's request for more information by the time of this article.
According to Calcalist, which did not cite specific sources, the amount or timeline for such an acquisition is unknown.
Dataloop provides an AI development platform with an enterprise-grade data engine that ensures developers and the AI applications they build have access to large amounts of high-quality, relevant data from a variety of sources. The platform specifically targets vision AI applications that use unstructured data such as video, images, audio, and text.
According to the company's website, the Dataloop platform allows teams to “manage and automatically preprocess data, pipe it into a variety of existing AI models (or build your own), inject human feedback into the loop, and rely on pre-built RAG, RLHF/RLAIF, and active learning solutions with an end-to-end extensible and modular AI development platform.”
In 2024, Dell and partner Nvidia introduced Dell AI Factory, a comprehensive and secure AI technology that is customizable for any business.
The company has also made a number of AI-related acquisitions. In 2023, Dell completed its acquisition of Moogsoft to enhance its AIOps capabilities. Dell also acquired Cloudify in 2023 as a way to build cloud orchestration capabilities.
