Guides and quickstarts for integrating Scale products.
Scale AI’s mission is to accelerate the development of AI applications. To enable teams to make faster progress, we began with data - the foundation of all AI applications. Scale AI turns raw data into high-quality training data by combining machine learning powered pre-labeling and active tooling with varying levels and types of human review.
That’s why we provide two tiers for our customers to use our platform:
More information on both models can be found on our pricing page.
Follow the 4 steps below and you’ll be well on your way to building a robust training dataset for your next AI application.
Scale offers high quality training and validation data for AI applications. Both Scale Rapid and Enterprise customers have access to:
Writing clear and concise instructions is crucial to receiving high-quality training data with Scale.
We strongly encourage you to use the following template to get started.
Clear and concise instructions should include:
To embed your google docs instructions into your tasks:
<iframe src="[YOUR_CUSTOM_DOC_LINK]"></iframe>
We have created detailed example instructions and guides on our instructions page.
Once you have explored your specified task type and designed your task, write your REST API calls following our API documentation. We have examples in cURL, JavaScript, Python, and Ruby. You can submit your API calls via Terminal or a 3rd-party software like Postman.
After you submit your first batch, you can explore the web application:
Submitting your projects to Scale should be an iterative process. After your first batch, please summarize common errors or specify new requirements in the instructions document. Once you have satisfied with the quality, feel free to increase the batch volume
If you have any questions, feel free to email us at support@scale.com.
If you are interested in learning more about our Enterprise engagements, get in touch with us.