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Metadat-AI® vs Scale AI: Revenue, Funding & Team Size Compared

Metadat-AI® has not disclosed its revenue; Scale AI generates $2B. The table below compares Metadat-AI® and Scale AI on funding, valuation, customers, team size and headquarters — every figure GetLatka has verified for each company.

Metadat-AI® vs Scale AI compared on revenue, funding, valuation, customers and team size
CompanyMetadat-AI® logoMetadat-AI®This companyScale AI logoScale AI
RevenueNot disclosed$2B
ValuationNot disclosed$29B
Funding raisedNot disclosed$1.6B
CustomersNot disclosed1K
Team sizeNot disclosed1.4K
GrowthNot disclosed129.9%
FoundedNot disclosed2016
HQLondon, United KingdomSan Francisco, United States

Want the full dataset? GetLatka tracks revenue, funding and team history for thousands of SaaS companies, with charts, growth rates and founder interviews.

Metadat-AI® logo

Metadat-AI® at a glance

Metadat- AI ® is an AI automation platform for processing and tagging large quantities of media (images, video, audio and text). With our supporting AI Advisory and Implementation services, we work out your AI strategy and deploy it for…

Scale AI logo

Scale AI at a glance

Scale AI generates $2B in revenue with 1.4K employees, headquartered in San Francisco, United States.

Revenue
$2B
Valuation
$29B
Funding
$1.6B
Customers
1K
Team size
1.4K
Founded
2016

Scale AI Inc. is a machine learning data annotation platform that provides high-quality training data to help develop and improve artificial intelligence (AI) models. They offer a range of services including image and video annotation…

Other Metadat-AI® alternatives

Metadat-AI® competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category.

Metadat-AI® vs Scale AI: frequently asked questions

How much revenue does Scale AI make?

Scale AI generates $2B in annual revenue with a team of 1.4K.

How much funding has Scale AI raised?

Scale AI has raised $1.6B in total funding since it was founded in 2016.