HoneyHive is building domain expert annotation queues around decisions, outputs, and edge cases where their judgment matters most.
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Hot take! Our perspective is that different views serve different use cases. Trace trees aren't a great place for domain experts to spend their time. I agree that the UI…
Company
HoneyHive
Production AI starts with observability.
- Industry
- Software Development
- Location
- New York, US
- Company size
- 11–50 employees
About HoneyHive
HoneyHive is the agent observability platform behind mission-critical AI — how enterprises observe, evaluate, and trust the agents they run in production. Several Fortune 500 companies in financial services, technology, healthcare, and beyond trust HoneyHive to monitor agents in production — across hundreds of use-cases and millions of end users. Our founding team brings applied AI and infrastructure expertise from Microsoft, Amazon, Plaid, and Amplitude. We are backed by Insight Partners.
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Latest activity from HoneyHive
4 signals
Products & Services
HoneyHive follows an evals-driven workflow where tracing and continuous evals guide every stage of agent development.
Products & Services
HoneyHive implements an annotation queue rule where an evaluator scores each trace and the rule decides what a human sees, with ground truth for the evaluator and the queue getting shorter every month.
Research & Knowledge
HoneyHive published a guide explaining how to put multi-agent evaluation maps into place across different agent stacks, including shared session IDs and tracing, evaluation, and governance.
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