Scale AI is a leading data annotation and AI lifecycle platform headquartered in San Francisco, specializing in providing high-quality labeled data, model fine-tuning, evaluation, and deployment services for enterprises. Since 2016, Scale has helped AI teams and organizations speed up model development and deployment by solving the critical challenge of creating accurate, large-scale training datasets. Their platform integrates AI-assisted labeling with expert human review, delivering precise data for diverse industries like autonomous vehicles, defense, generative AI, and enterprise applications. With advanced tools and a global workforce, Scale supports companies in building safer, more reliable AI systems and accelerating innovation.
Key Features:
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Comprehensive data labeling and annotation across formats including images, text, 3D, audio, combining AI pre-labeling with human verification.
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Full-stack AI lifecycle support: from data collection and model fine-tuning to evaluation and deployment via platforms like Scale GenAI and Scale Donovan.
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Proprietary AI-powered workflow orchestration and workforce management that ensure high accuracy and scalable throughput.
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Safety, Evaluation, and Alignment Lab (SEAL) for rigorous testing and benchmarking of large language models focused on robustness and ethical AI alignment.
Use Cases:
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Training and fine-tuning large AI models in sectors such as autonomous driving, defense, and natural language processing.
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Providing enterprise customers with custom data annotation services to accelerate AI product development and improve model accuracy.
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Enabling iterative model evaluation and safety testing to ensure trustworthy AI deployment in critical applications.
