Scale AI vs CoreWeave

By valuation, CoreWeave is the larger company at $49B versus $29B — a 1.7x difference. Size can also be measured by team: Scale AI employs 1,000 people while CoreWeave has 1800 employees.

Scale AI has raised more in total funding at $15.9B, compared to CoreWeave's $2.4B — a gap of $13.5B. Combined, the two companies have completed 10 known funding rounds.

CoreWeave leads with an Awaira Score of 95/100, while Scale AI sits at 84/100. That 11-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Scale AI was founded by Alexandr Wang in 2016. CoreWeave was founded by Michael Intrator in 2017. Visit each company's profile on Awaira for a full founder biography.

Scale AI: Scale AI is a data infrastructure company founded in 2016 that specializes in data labeling and annotation services for artificial intelligence model development. The company provides managed workforce solutions and software platforms that enable organizations to prepare high-quality training data at scale. Scale AI's core offerings include data labeling, model evaluation, data generation, and managed workforce services across computer vision, natural language processing, and other AI domains. The company serves enterprise customers across automotive, defense, technology, and other sectors requiring large-scale data annotation for machine learning applications. Notable use cases include autonomous vehicle development, where precise labeled data is critical for training perception systems. Scale AI operates a hybrid model combining software automation with human-in-the-loop annotation capabilities. With a Series F valuation of $13.8 billion and total funding of $1.6 billion, Scale AI represents one of the highest-valued data infrastructure companies in the AI stack. The company competes in the data labeling market alongside firms like Labelbox, Snorkel AI, and various in-house solutions deployed by large technology companies. Its growth trajectory reflects increasing enterprise demand for quality training data as AI model development accelerates. Scale AI's positioning emphasizes enterprise-grade reliability, security, and quality assurance in data preparation workflows. Scale AI has achieved unicorn valuation by solving the critical bottleneck of high-quality labeled data production at enterprise scale. CoreWeave: CoreWeave is a specialized AI infrastructure provider founded in 2017 that has become a major player in GPU cloud computing. The company operates a global network of data centers optimized for artificial intelligence and machine learning workloads, offering on-demand access to high-performance GPUs and compute resources. CoreWeave's platform enables enterprises and AI developers to train large language models, run inference workloads, and deploy machine learning applications without building proprietary infrastructure. The company serves organizations across industries including enterprise AI, research institutions, and cloud-native startups requiring flexible, scalable compute capacity. CoreWeave distinguishes itself through customized infrastructure solutions tailored to GPU-intensive applications, offering various processor configurations from NVIDIA and AMD architectures. The company went public in 2025 and currently carries a valuation of $42.0 billion with total funding of $2.38 billion, reflecting substantial investor confidence in AI infrastructure demand. CoreWeave competes directly with hyperscalers like AWS, Google Cloud, and Microsoft Azure in the GPU compute space, alongside specialized competitors such as Lambda Labs and Crusoe Energy. The company's growth trajectory reflects the accelerating demand for accessible GPU computing as organizations scale their AI capabilities. Its business model capitalizes on the infrastructure bottleneck in AI deployment, positioning it as a critical enabler of AI adoption across enterprise sectors. CoreWeave's public status and $42B valuation reflect recognition of GPU infrastructure as fundamental to AI scaling, distinct from traditional cloud computing markets.

Scale AI got there first, launching in 2016 — that's 1 year of extra runway. CoreWeave didn't arrive until 2017. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Scale AI has about 1,000 employees; CoreWeave has about 1800. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Scale AI and CoreWeave compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.