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Dataset curation and annotation is a collaborative effort, often involving domain experts and external collaborators. HoneyHive allows you to use your production logs to continuously label and curate proprietary datasets.
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Automatically curate datasets from your production failures. Set up automation rules to flag failure modes in production and add them to your test bank for continuous evaluations.
Continuously curate datasets by filtering your production logs.
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Provide human labels or AI-generated labels seamlessly.
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Export datasets programmatically for fine-tuning and evaluation.
Domain experts like linguists, financial analysts, and medical professionals are often closely involved in evaluating outputs. HoneyHive allows you to collaborate with these experts within a unified workspace.
Automatically add to queues by filtering your production logs.
Provide human feedback seamlessly within the UI.
Export scores programmatically for prompt optimization, reporting, and more.
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Div Garg
Co-Founder
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Rex Harris
Head of AI/ML
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Cristian Pinto
CTO