HoneyHive makes it easy for modern AI teams to continuously evaluate, monitor, and optimize LLM applications.

Key Features:

Testing & Evaluation

Tracing and Observability

Prompt Studio

Datasets and Labelling

Developers

Use Cases:

Test application quality during development

Monitor, evaluate, and debug your app in production

Iterate on prompts collaboratively with your team

Rapidly filter, label, and curate datasets for model customization

Work with any model, framework, or GPU cloud

Benefits:

Quantify improvements and capture regressions

Monitor live production traffic and resolve issues quickly

Collaboratively iterate on prompts with team members

Customize models with curated datasets for a competitive advantage

Build custom automations and pipelines for model validation using logs