It’s time to remove the blindfold!
Understand how your model interprets the data, detect root cause of failures, fix edge cases fast, and slash the number of experiments
Pinpoint, resolve, and test all populations and verify that the model relies on the right features
Identify and remove irrelevant data, eliminate bottlenecks, and only label what’s needed
Dramatically improve performance, increase overall confidence and help avoid the consequences of failures
Build your models based on proof and analysis rather than guesswork
Boost team’s productivity by maximizing process efficiency and reducing resource utilization
Identify and fix problems fast with unsupervised root cause detection
Build unbiased datasets by removing irrelevant samples and prioritizing labeling
Instantly verify and validate thousands of data populations with deep unit testing
Make informed decisions with clear documentation of the development process
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