Modal vs Scale AI

By valuation, Scale AI is the larger company at $29B versus $1.1B — a 26.4x difference. Size can also be measured by team: Modal employs 30 people while Scale AI has 1,000 employees.

Scale AI has raised more in total funding at $15.9B, compared to Modal's $111M — a gap of $15.8B. Combined, the two companies have completed 6 known funding rounds.

Scale AI leads with an Awaira Score of 84/100, while Modal sits at 71/100. That 13-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Modal was founded by Erik Bernhardsson in 2021. Scale AI was founded by Alexandr Wang in 2016. Visit each company's profile on Awaira for a full founder biography.

Modal: Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications. The platform enables developers to build, deploy, and scale AI models with reduced infrastructure complexity. Modal's core offering centers on serverless computing infrastructure specifically optimized for AI workloads, allowing users to run GPU-intensive tasks without managing underlying hardware directly. The company positions itself within the broader AI infrastructure category, competing alongside platforms like Replicate, Lambda Labs, and cloud providers' AI services. Modal's approach focuses on simplifying the deployment pipeline for machine learning models, enabling developers to move from development to production environments more efficiently. The platform supports various frameworks and use cases including LLM inference, image generation, and general machine learning tasks. Founded in 2021, Modal operates at the Seed stage with total funding of $20 million and a valuation of $0.1 billion. The company benefits from growing demand for accessible AI infrastructure as organizations scale machine learning workloads. Modal's customer base includes AI developers and teams building applications that require computational resources beyond typical cloud offerings. The competitive landscape remains fragmented, with multiple players addressing different aspects of AI infrastructure. Modal's growth trajectory reflects broader market expansion in AI tooling and infrastructure services. Modal addresses the infrastructure gap between AI research and production deployment by offering serverless computing optimized specifically for GPU-intensive machine learning workloads. 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 5 years of extra runway. Modal didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Modal has about 30 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 Modal 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.