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Recently Funded|Amount: USD 7.4M|Industry: Software Development

HoneyHive Secures $7.4M Seed Funding to Transform AI Observability and Deployment

HoneyHive

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2-10 employees employees (Est.)
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HoneyHive, the leading observability and evaluation platform for AI applications, is excited to announce a successful funding round in which the company raised $7,400,000. This significant infusion of capital is a testament to HoneyHive’s transformative role in the AI landscape, where they empower development teams from ideation to deployment. The funding is slated to accelerate innovations that help teams debug, evaluate, and monitor AI applications more effectively while ensuring a smooth transition from development stages to the launch of robust Generative AI products. HoneyHive’s platform is designed to add an extra layer of confidence for teams shipping cutting-edge AI solutions by offering powerful tools to troubleshoot and analyze every step of the AI lifecycle. Founded by a team of industry experts with rich backgrounds at Microsoft, Amazon, and JP Morgan and having been involved with some of the earliest Generative AI projects, HoneyHive is well-positioned to take the next leap in AI operational excellence. With offices in New York and San Francisco, the company is poised to expand its reach in the thriving tech ecosystems of both coasts. The funds will be strategically invested in research and development to broaden the capabilities of the platform, integrate state-of-the-art monitoring features, and enhance support services that cater to the evolving needs of AI innovators. This new investment round not only validates the impactful work HoneyHive has already accomplished but also sets the stage for continued growth and innovation in the fast-paced and competitive arena of AI technology.
April 8, 2025

Buying Signals & Intent

Our AI suggests HoneyHive may be interested in solutions related to:

  • AI Observability
  • AI Testing and Evaluation
  • Data Management
  • Monitoring Solutions
  • Software Development Tools

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