HoneyHive gives developers the tools, workflows, and visibility they need to safely deploy and continuously improve LLM-powered products.
Mission-critical evaluation, testing and prompt engineering tools to help you iterate and deploy LLM apps with confidence.
Prompt engineer with PMs and domain experts in a collaborative workspace, with automatic version control, logging, and external tools like Pinecone.
Programmatically test your chains, agents, and data retrieval pipelines against your own metrics and guardrails.
Observability and self-serve analytics to help you better understand your users and continuously improve your AI-powered product.
Get granular insights into usage, performance, and user behavior, with user feedback, metrics, and data slicing.
Debug complex chains, agents, or RAG pipelines and root cause errors with AI-assisted RCA.
Analyze common themes and clusters of interest in your data to get insight into user experience.
Any model, any framework. Works with any model, orchestration framework, or external plugin.
Pipeline-centric. Purpose-built for complex chains, agents, and retrieval pipelines.
Non-intrusive SDK. Does not require proxying your requests via our servers.
Adopt AI safely and with confidence across your company, with end-to-end encryption, role-based access controls, and PII sanitization.
Book a demoDeploy on the HoneyHive Cloud or your own VPC. You own your data and models.
Cloud native architecture automatically scales up to millions of requests.
Dedicated CSMs and 24/7 founder-led support to help you at every step of the way.