What is HoneyHive?

HoneyHive is an optimization engine for large language model applications, enabling LLM developers to continuously improve their AI-powered products with human feedback and objective metrics. Our tools make it easy to analyze model performance, run experiments in production, and fine-tune foundation models using proprietary data. With HoneyHive, AI-native companies can quickly evaluate how their models perform in production and make continuous, data-driven improvements to get the best performance out of foundation models.

Where are we going?

We envision a world where developers can unleash the true potential of large language models to create innovative applications that push the boundaries of what software can do. Our mission is to ensure the next generation of developers are equipped with the tools to bring their vision to life by providing a simple and straightforward way to analyze, improve, and govern large language model applications. We’re building a suite of observability, experimentation and fine-tuning tools that are designed to give developers the capability to build enterprise-grade applications that align with their objectives and provide exceptional value to their users. We are devoted to supporting developers every step of the way as they bring their ideas to life and revolutionize the software industry over the next decade.

Our Team

Mohak Sharma - Co-Founder & CEO

Dhruv Singh - Co-Founder & CTO