Scale AI

Scale AI, founded in 2016 by Alexandr Wang and Lucy Guo, specializes in providing high-quality labeled data essential for training artificial intelligence models. The company offers a comprehensive platform that manages the entire machine learning lifecycle, enabling organizations to accelerate the development of AI applications through precise data annotation and management.

In May 2024, Scale AI raised $1 billion in a Series F funding round led by Accel, with participation from existing investors including Y Combinator, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, NVIDIA, Tiger Global Management, Greenoaks, and Wellington Management. New investors such as Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil, and Meta also participated, bringing the company’s valuation to nearly $14 billion.

Scale AI distinguishes itself by offering a data-centric, end-to-end service that combines technology to develop complex datasets, helping AI companies achieve breakthroughs and empowering any organization to apply and evaluate AI. This approach addresses challenges such as the need for accurately labeled data, which is crucial for developing effective AI models.

In the artificial intelligence landscape, Scale AI operates within the category of data annotation and management platforms. Its technology applies machine learning algorithms to streamline the data labeling process, facilitating the development of AI applications across various industries.

For more information, please visit scale.com.

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