AI agents represent the next wave of automation in software, transforming how businesses operate and solve complex challenges. These intelligent systems can autonomously perform tasks, make decisions, and interact with other systems to achieve goals—whether it’s coordinating supply chains, providing personalized customer support, or generating creative content. As AI agents grow more capable, their potential to revolutionize industries is immense—but only if they can be reliably deployed and managed. Building reliable, production-ready AI agents is one of the toughest challenges in AI today, with an estimated 52% of prototypes failing to transition successfully into production due to debugging and performance issues. This is where HoneyHive comes in. Their platform is transforming how enterprises design and deploy complex, multi-agent systems by solving one of the biggest hurdles: understanding and optimizing these agents in real time through observability and evaluation.
The probabilistic and distributed nature of AI agents requires a new type of observability made for systems calling on multiple LLMs and with multiple agents and reasoning steps. HoneyHive’s AI-native platform delivers powerful tools like distributed tracing, online evaluations, and simulation-driven testing. By capturing real-world inputs and outputs, their technology doesn’t just identify issues—it enables teams to improve performance proactively and build reliability into their systems from the ground up by bridging the gap between development and production.
What makes HoneyHive exciting is its adaptability. Their platform is model, framework, and cloud agnostic and built on open-source standards like OpenTelemetry, giving enterprises freedom from vendor lock-in and the ability to scale as architectures evolve. At its core is a powerful event-native architecture that allows teams to dig deep into multi-agent workflows, uncover root causes of failures, and optimize performance across their agentic stack.
We first met HoneyHive’s founders, Mohak and Dhruv, in 2022 after Mohak left Templafy (an Insight portco!), where he was a PM building their Data Platform and early AI prototypes, and Dhruv at Microsoft, where he worked on logging and observability infrastructure for Office 365, including early generative AI applications. Mohak’s product leadership and Dhruv’s deep expertise in building generative AI applications form the foundation of a strong team that understands both the technical complexities and real-world challenges of AI systems.
