Together AI vs Scale AI

By valuation, Scale AI is the larger company at $29B versus $3.3B — a 8.8x difference. Size can also be measured by team: Together AI employs 100 people while Scale AI has 1,000 employees.

Scale AI has raised more in total funding at $15.9B, compared to Together AI's $533.5M — a gap of $15.4B. Combined, the two companies have completed 8 known funding rounds.

Scale AI leads with an Awaira Score of 84/100, while Together AI sits at 77/100. That 7-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Together AI was founded by Ce Zhang in 2022. Scale AI was founded by Alexandr Wang in 2016. Visit each company's profile on Awaira for a full founder biography.

Together AI: Together AI is an AI infrastructure company founded in 2022 that provides cloud-based platforms for training, fine-tuning, and deploying large language models. The company operates a managed inference service and model hosting platform that enables developers and enterprises to run open-source and proprietary models at scale. Together AI's core offering allows customers to access GPU compute resources specifically optimized for LLM workloads without building infrastructure in-house. The company positions itself in the competitive inference and model deployment segment, competing with services like Replicate, Modal, and cloud providers' native ML offerings. Together AI emphasizes open-source model support and cost-efficient inference through optimized serving techniques. The platform supports popular models including Llama, Mistral, and other community-developed architectures. With $228 million in total funding and a $1.3 billion valuation as of its Series B stage, Together AI has secured substantial capital to expand its infrastructure and product capabilities. The company serves use cases spanning application development, research, and enterprise deployment scenarios. Its growth trajectory reflects increased demand for accessible LLM infrastructure alternatives to proprietary API providers, though the market remains highly competitive with low switching costs and commoditizing pricing dynamics. Together AI addresses the infrastructure gap for organizations seeking open-source LLM deployment alternatives to closed commercial APIs. 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.

Scale AI got there first, launching in 2016 — that's 6 years of extra runway. Together AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Together AI has about 100 employees; Scale AI has about 1,000. 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 Together AI and Scale AI compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.