Scale Nucleus - The mission control for your ML data

The mission control for your ML data
Aggregate metrics in ML are not good enough. Scale Nucleus helps you to visualize your data, curate interesting slices within your dataset, review and manage annotations, and measure and debug your model performance.

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Hey everyone! I'm Alex, CEO and founder of Scale (scale.com). I am so excited about our launch of Scale Nucleus, the mission control for your ML data. Our mission at Scale is to accelerate the development of AI applications. We started by solving the problem of data annotation—one of the core problems in building great ML, and have been proud to serve customers for 4 years with those products. In working with amazing customers like OpenAI, NVIDIA, Lyft, Pinterest, Doordash, we've learned a lot about what's hard about building production-grade ML. Better ML starts with understanding your data in depth. To improve production ML, you need to understand their qualitative failure modes, fix them by gathering the right data, and curate diverse scenarios. Scale Nucleus helps you: - Visualize your data - Curate interesting slices within your dataset - Review and manage annotations - Measure and debug your model performance Nucleus is a new way—the right way—to develop ML models, helping us move away from the concept of one dataset and towards a paradigm of collections of scenarios. We are so excited to hear everyone's thoughts! Please comment here, or email us at !
This product will be a gamechanger for Scale!
Is Nucleus free to use?
Basic usage in Nucleus is completely free to use. We're really excited to see everything people are building within the ML community and have a bunch of exciting additional features we'll be rolling out soon!
We just started building out our ML models, and are managing the annotation data in excel - so much pain! Excited to try this out
The design elegantly surfaces insights into how to improve your ML models!
Together with Scale's existing products, Nucleus makes lives of ML teams even better.
High quality, high volume data labeling is great. Understanding your data is even better. Combining these 2 as Scale has done is best.
Game changer for CV and excited for it to be applied to NLP and OCR soon as well :)
We'll have some great things to share here soon. What type of NLP problems are you working on?
Really exciting product :D
So excited for this!
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