Artificial intelligence startup Scale AI has successfully raised $1 billion in a Series F funding round, significantly boosting its valuation to $13.8 billion. This funding will enable the company to enhance its capabilities in providing data solutions for AI model development, further solidifying its position in the AI landscape.
Founded in 2016, Scale AI specializes in labeling data that is crucial for training AI models. Organizations partner with Scale to enhance the quality of the data they use for their large language models. The recent funding round, which brings Scale AI's total capital raised to $1.6 billion, is a testament to the growing demand for high-quality data in AI development.
The Series F funding round saw participation from a mix of new and existing investors:
Scale AI's CEO, Alexandr Wang, stated that the funds will be used to transition into the next phase of the company's journey. The goal is to create a comprehensive data infrastructure that supports the development of more sophisticated AI capabilities, including complex reasoning and multimodal AI systems. Wang emphasized the importance of generating frontier data to advance towards artificial general intelligence (AGI).
Scale AI has been involved in several high-profile projects:
These collaborations highlight Scale AI's pivotal role in enhancing the performance of leading AI models through quality data.
Recently, Scale AI has expanded its operations into Europe, establishing a new office in London. This move is part of the company's strategy to broaden its market presence and cater to a growing international clientele.
With its latest funding round, Scale AI is poised to further its mission of powering AI advancements through high-quality data solutions. As the demand for AI continues to grow, Scale AI's innovative approach positions it as a key player in the industry, driving the future of artificial intelligence.