What can you do with Data Crucible
AI model bias introduced during the machine learning (ML) phase due to incorrect labels for datasets tends to scale exponentially, resulting in low confidence results at best, or fully biased responses at its worse. Data Crucible provides a fully automated AI solution that identifies incorrectly placed labels in datasets and replace them with accurate labels.
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Better AI models
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Reduced ML phase time
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PR damage avoidance
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Increase AI model confidence
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Reduced reinforced learning
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Reduced labor cost
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Faster AI model generation
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Reduced triage work
Impact Insights
Create a custom engine based on your organization's labeled data to classify data.
HOW TO USE MIT
