Artificial intelligence data platform creator SuperAnnotate AI Inc. has closed on a $13 million Series B extension round led by Dell Technologies Capital, bringing its total Series B round to $50 million.
SuperAnnotate is a fast-growing startup that’s increasingly seen as a rival to the well-known data labeling platforms Scale AI Inc. – which was recently acquired by Meta Platforms Inc. – and Surge AI Inc., offering a tool for AI developers to curate and manage training datasets.
After all, it’s believed that high-quality data is the key to building high-quality AI models, so it’s not just the amount of data they’re trained on that’s important, but rather the type of data being fed into them.
That’s why SuperAnnotate provides tools that help AI developers to create and also manage large AI training datasets. It began life with a focus on data labeling, but has since expanded to offer tools for fine-tuning, iterating and evaluating data too.
Using SuperAnnotate, users can connect data from the cloud or other sources to create comprehensive datasets that they can collaborate on with others. It provides a centralized dashboard through which users can compare the performance of different models based on the data used to train them. There are also tools for deploying models into production environments.
In addition, like Scale AI and Surge AI, SuperAnnotate also operates a marketplace where companies can hire crowdsourced freelancers to perform manual data annotation, labeling different parts of datasets. Those labels act as a kind of guide, informing models of what it is they’re learning.
SuperAnnotate co-founder and Chief Executive Vahan Petrosyan first created the tool while studying image segmentation as part of his Ph.D. research, and later realized that developers would likely be willing to pay for just such a tool. He therefore founded the company alongside his brother Tigran to create an enterprise version of the software he developed.
The company says customers are using its platform to create high-quality datasets for all kinds of AI projects, including generative AI models, multimodal AI applications, agentic AI workflows and more besides. It reckons its client list grew threefold in the last year, with the likes of Databricks Inc. and Canva Inc. joining its customer base.
Vahan explained that the company has grown so rapidly because everyone needs AI these days, but creating the datasets needed to train it is extremely complex and time consuming.
“AI data needs the right tooling to streamline the development and management of modern AI applications,” Vahan said. “This is exactly what we are building at SuperAnnotate. Our traction to date is proof of our prospects in the space and we look forward to working with DTC on this next phase of growth.”
SuperAnnotate provides AI developers with a valuable tool and services, and according to Dell Technologies Capital’s Elana Lian, its platform has become “essential” for scaling enterprise AI projects.
“The human touch via human-labeled training data is critical in developing sophisticated AI models,” Lian said. “SuperAnnotate is offering its customers a direct line to high-quality data, at scale, for training and developing LLMs and AI applications.”
Image: SuperAnnotate
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