Dataloop, a Tel Aviv, Israel-based technology company that builds data infrastructure and a data operating system for AI companies, raised $33M in Series B funding. The round was led by NGP Capital and Alpha Wave Ventures, with participation from Amiti Ventures, F2 Venture Capital, and OurCrowd. The company intends to use the funds for global expansion, specifically by building teams in the US, Europe, and India. Led by CEO Eran Shlomo, Dataloop provides a platform for businesses of any size to move their AI project into production from start to finish, for uplifting AI effectiveness across many industries including retail, agriculture, robotics, autonomous vehicles, construction, and more. The data centric platform offers a developer-first full data life-cycle management platform in order to speed up this process.

Dataloop, a Tel Aviv-based startup that specializes in helping businesses manage the entire data lifecycle for their AI projects, including helping them annotate their datasets, today announced that it has now raised a total of $16 million. This includes a $5 seed round that was previously unreported, as well as an $11 million Series A round that recently closed. The Series A round was led by Amiti Ventures with participation from F2 Venture Capital, crowdfunding platform OurCrowd, NextLeap Ventures and SeedIL Ventures. "Many organizations continue to struggle with moving their AI and ML projects into production as a result of data labeling limitations and a lack of real time validation that can only be achieved with human input into the system," said Dataloop CEO Eran Shlomo. "With this investment, we are committed, along with our partners, to overcoming these roadblocks and providing next generation data management tools that will transform the AI industry and meet the rising demand for innovation in global markets." For the most part, Dataloop specializes in helping businesses manage and annotate their visual data.

AI data management and annotation startup Dataloop today announced that it raised $16 million in funding, a combination of an $11 million series A round and a previously undisclosed $5 million seed round. A spokesperson says the funds will enable Dataloop to increase its recruitment efforts and grow its presence in the U.S. and Europe. Training AI and machine learning algorithms requires plenty of annotated data. But data rarely comes with annotations. The bulk of the work often falls to human labelers, whose efforts tend to be expensive, imperfect, and slow. Dataloop claims to solve the annotation challenge with a platform for automating data prep and data operations.