Enterprise AI Teams Are Turning To HoneyHive For Reliability

In October 2023, Mohak Sharma and Dhruv Singh started HoneyHive with a simple but urgent premise: building AI-powered products that actually work in the real world requires more than access to large language models. The AI boom had triggered a wave of experimentation, but teams quickly hit a wall when prototypes failed in production. Debugging non-deterministic models, tracking failure modes across multi-agent systems, and iterating with confidence remained unsolved problems for most companies.

Just over a year later, HoneyHive is launching out of beta with $7.4 million in funding to address these issues head-on. The round includes a $5.5 million Seed led by Insight Partners, along with a previously unannounced $1.9 million Pre-Seed led by Zero Prime Ventures. Additional investors include AIX Ventures, 468 Capital, MVP Ventures, and Firestreak Ventures. Notable angel investors such as Jordan Tigani (CEO at Motherduck) and Savin Goyal (CTO at Outerbounds) also participated. George Mathew, Managing Director at Insight Partners, has joined HoneyHive’s board of directors.

The funding follows significant momentum during the company’s beta period, where HoneyHive logged over 50x growth in AI requests through its platform in 2024 alone and doubled its team size. The company now plans to accelerate product development and expand its enterprise offerings to meet growing demand.

At its core, HoneyHive is an AI agent observability and evaluation platform designed to help teams build more reliable LLM-based systems. It was built on the recognition that traditional software development lifecycles and DevTools aren’t suited for AI. “Enterprise leaders find it hard to trust LLMs in mission-critical workflows. Models hallucinate, agents loop, and RAG pipelines constantly fail,” said Sharma. “Even with a working prototype in hand, teams struggle to gain confidence in the safety and reliability of their LLM applications.”