Filter, label, and curate datasets with your team

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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Datasets are automatically synced between UI and code

Domain experts like linguists, financial analysts, and medical professionals are often closely involved in curating domain-specific datasets. HoneyHive allows you to collaborate with these experts within a unified workspace.

Continuously curate datasets by filtering your production logs.

Provide human labels or AI-generated labels seamlessly.

Export datasets programmatically for fine-tuning and evaluation.

Filter, label, and curate datasets with your team

Datasets are automatically synced between UI and code

"It's critical to ensure quality and performance across our AI agents. With HoneyHive, we've not only improved the capabilities of our agents but also seamlessly deployed them to thousands of users — all while enjoying peace of mind."

"For prompts, specifically, versioning and evaluation was the biggest pain for our cross-functional team in the early days. Manual processes using Gdocs - not ideal. Then I found @honeyhiveai in the @mlopscommunity slack and we’ve never looked back."

"HoneyHive solved our biggest headache: monitoring RAG pipelines for personalized e-commerce. Before, we struggled to pinpoint issues and understand pipeline behavior. Now we can debug issues instantly, making our product more reliable than ever."

Use your proprietary data to build a competitive advantage