As AI transitions from experimental to operational phases, organizations struggle with monitoring and reliability due to the limitations of traditional tools. HoneyHive addresses these issues with its observability platform for AI agents, providing a systematic approach to testing and evaluation. Adhering to OpenTelemetry standards, the platform offers deep insights into the decision-making process and system performance. Recently, HoneyHive raised $7.4M in Seed funding to expand its services, led by Insight Partners, highlighting the growing demand for effective AI management solutions.
HoneyHive provides an AI agent observability and evaluation platform that enables organizations to systematically test, evaluate, and monitor AI agents throughout their entire lifecycle.
Built on OpenTelemetry standards, the platform offers comprehensive visibility into AI systems, showing not just outputs but the entire decision journey-revealing how conclusions were reached, where systems falter, and what patterns lead to failures.
By closing the loop between production incidents and development, HoneyHive creates a complete system of record that versions all traces, prompts, tools, datasets, and evaluations.
We raised a total of $7.4M in Seed funding, consisting of a $5.5M Seed round led by Insight Partners and...
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