Scale-Generative AI Architecture
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Scale AI is a Silicon Valley-based company founded in 2016 that provides a platform for generating high-quality training data for AI models. They use a combination of machine learning and human review to label and verify data, ensuring its accuracy and relevance for specific AI applications.
Description
what is Scale?
Scale AI is a Silicon Valley-based company founded in 2016 that provides a platform for generating high-quality training data for AI models. They use a combination of machine learning and human review to label and verify data, ensuring its accuracy and relevance for specific AI applications.
What services does Scale AI offer?
- Data labeling and annotation: Label images, text, audio, and video data for various AI tasks like object detection, sentiment analysis, and speech recognition.
- Custom data solutions: Build specific datasets tailored to your unique needs and projects.
- Government data solutions: Securely manage and label sensitive data for government agencies.
- Data annotation tools: Utilize the Scale platform and APIs to manage your own labeling workflows.
Who uses Scale AI?
Scale AI serves a wide range of clients, including:
- Leading technology companies like Microsoft and Meta
- Enterprises like Fox and Accenture
- Generative AI companies like OpenAI and Cohere
- US government agencies
- Startups
How does Scale AI charge?
Scale AI uses a custom pricing model based on your specific data needs and project requirements. This means the price will vary depending on factors like:
- Data type and complexity: Text, images, videos, audio, etc., and their level of detail affect the labeling effort.
- Quantity of data: More data requires more processing and verification.
- Desired turnaround time: Rush projects might necessitate more resources.
- Security and compliance needs: Government-related data might require additional procedures.
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