Dataloop and Nvidia collaborate to power enterprise AI application development

Israeli artificial intelligence dataset startup Dataloop Ltd today announced a new partnership with Nvidia Corp. to integrate the Nvidia AI Enterprise software platform into its platform to help build and improve enterprise AI applications. .

Dataloop argues that while generative AI can automate up to 70% of all business activities, the path to AI adoption can be difficult as many companies remain stuck in the proof-of-concept or pilot stage. There is. Unorganized and disparate data can be a major impediment to progress, but facilitating efficient AI development backed by properly managed and optimized data is the key to unlocking the value of AI. Masu. A new collaboration is here.

The Dataloop platform's Nvidia technology offering is said to provide customers with cutting-edge AI tools directly on a unified, unified platform. By integrating numerous tools and models into the Dataloop platform, such as the Nvidia NIM microservice and his Nvidia NeMo Retriever microservice, customers can accelerate their AI adoption and integrate it with other tools and applications available on the platform. This will allow you to enhance your dialogue.

This combination is claimed to improve data management and curation and improve data automation workflows. The end result is help accelerate AI adoption and drive better business outcomes.

Avi Yashar, co-founder and CEO of Dataloop, said ahead of the announcement that “our partnership with Nvidia is an important milestone in the AI ​​development cycle.” “By combining Dataloop's platform with his Nvidia AI technology, we will enhance AI development and deployment and enable our customers to take advantage of high-quality, optimized AI applications.”

Nvidia technology integration includes four elements, starting with Dataloop's marketplace, which features access to the Nvidia API catalog and allows users to incorporate leading AI models into their data pipelines. It provides the underlying model and application programming interface endpoints that enable it.

Dataloop customers will now have access to off-the-shelf AI solutions powered by Nvidia AI, including pipelines for large-scale language model applications such as summarization and chatbots. Nvidia NeMo's text embedding-based data curation and search capabilities are enabled within indexed datasets managed by Dataloop.

In the final element, Dataloop will receive early access to Nvidia NIM and NeMo Retriever microservices, which the company will integrate into its platform. This integration supports text embedding and LLM optimization. Together, Dataloop aims to “revolutionize” the way AI is deployed and used in the market, reducing costs and accelerating AI development.

Dataloop is a venture capital-backed startup that has raised $50 million in funding, including an $11 million round in 2020 and a $33 million round in 2022, according to Tracxn. Investors include F2 Venture Capital Inc., OurCrowd LLC, NextLeap Ventures LLC, and Amiti Ventures. LLC, Iconyc Inc., and SeedIL Ventures LLC.

Photo: Data Loop