Scale.ai

Overview

Sectors

Data, AI, SaaS

Headquarters

San Francisco, California, USA

CEO

Alexandr Wang

Scale.ai raised $1.0B in a Series F Valuation at a $14.5455 price per share, amounting to a post-money valuation of $13.8B on May 17, 2024. PMI data indicates that Scale.ai's shares have been trading at an 3.7% premium to their Series F Valuation based on institutional secondary market activity.

Series F Valuation

Latest funding round

$13.8B

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2024-05-17

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AV Implied Valuation

$14.32B

2024-12-16

AV Implied Valuation

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Change since Last Round

+3.7%

2024-05-17 ➞ 2024-12-16

Change since Last Round

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Secondary Activity

Medium

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Volume

$305.82M

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(90 day period)

Bid

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Ask

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Bid

$116.37M

Ask

$189.45M

“To accelerate the development of AI applications by providing high-quality training data for machine learning models. They aim to empower businesses and organizations to harness the power of AI, driving innovation and improving efficiency across various industries.”

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Founded in 2016 by Alexandr Wang and Lucy Guo, Scale AI is a San Francisco-based company that provides data annotation and labeling services to support the development of artificial intelligence and machine learning models. The company offers a comprehensive data platform that manages the entire machine learning lifecycle, helping businesses build and train high-quality models. Scale AI has been trusted by leading companies to deliver data-centric solutions that enhance AI capabilities.

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Business Model

Scale AI operates on a business-to-business (B2B) model, providing data annotation and labeling services to companies developing AI and machine learning models. The company generates revenue by offering a suite of services that include data management, model evaluation, and synthetic data generation. Scale AI's platform is designed to ensure the highest quality of labeled data, which is crucial for training effective AI models.

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Targeted Impact

Scale AI aims to be the foundational infrastructure behind AI and machine learning applications, enabling accurate and capable AI solutions.

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Who Will benefit?

Companies and developers building AI and machine learning models will benefit from Scale AI's high-quality data annotation services.

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What Comes Next?

Scale AI plans to continue enhancing its platform and expanding its partnerships to support the evolving needs of AI and machine learning applications.

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Scale.ai Growth Timeline

Scale.ai and Competition

Scale AI competes with other data annotation and AI infrastructure companies such as Labelbox, Appen, and Hive. Its focus on high-quality data and comprehensive platform solutions differentiates it from competitors.

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