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HoneyHive

Observability and evaluation platform for AI agents and LLM applications

llm-observability#llm-observability#evaluation#tracing#agent-monitoring
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About HoneyHive

HoneyHive is an AI observability and evaluation platform offering tracing, evals, testing, and production monitoring for LLM apps and agents, with data-residency support and a sales-led pricing model.

HoneyHive helps engineering, product, and subject-matter teams collaborate on building reliable AI applications. It combines distributed tracing of LLM and agent calls, offline and online evaluation, dataset management, and prompt experimentation with production monitoring — so teams can debug failures, measure quality, and catch regressions across the development lifecycle. A distinguishing focus is enterprise readiness, including data-residency options, positioning HoneyHive for regulated organizations that need control over where their evaluation and trace data lives. It supports human-in-the-loop review alongside automated evaluators, letting domain experts and engineers jointly assess agent behavior. HoneyHive uses a sales-led pricing model: there is a free tier for getting started and trials, but production monitoring and enterprise features generally require an Enterprise conversation with custom pricing. As of 2026, teams should contact HoneyHive for current pricing based on usage and requirements.

TL;DR

HoneyHive is an enterprise-focused AI observability and evaluation platform for LLM apps and agents, combining tracing, evals, and monitoring with data-residency support and sales-led pricing.

Company overview

HoneyHive is an LLMOps company building observability and evaluation tooling for teams shipping AI agents to production. It positions itself around trust and enterprise readiness.

The company serves organizations that need to observe, evaluate, and rely on mission-critical agents, offering data-residency and collaboration features under a sales-led commercial model.

Product features

HoneyHive unifies distributed tracing, offline and online evaluation, dataset management, and production monitoring, letting teams debug, measure quality, and catch regressions across the lifecycle.

It supports both automated evaluators and human-in-the-loop review, integrates via SDKs and OpenTelemetry, and emphasizes data-residency for regulated enterprises.

Target market

HoneyHive targets enterprises and cross-functional AI teams building production LLM applications and agents that require rigorous evaluation, monitoring, and data control.

Buyer personas

End users

AI engineers, product managers, and subject-matter experts evaluating and monitoring agents.

Buyers

Engineering and AI leaders adopting LLMOps and observability tooling.

Key influencers

ML and platform practitioners focused on evaluation and reliability.

Ideal customer profile

Enterprises running production agents that need evaluation rigor, monitoring, and data-residency control.

Funding & performance

HoneyHive is a venture-backed startup; specific funding details are not prominently public. Verify with the vendor or funding databases.

Pros & cons

Pros

  • End-to-end tracing, evaluation, and monitoring
  • Enterprise-grade data-residency options
  • Collaboration across engineering and SMEs
  • Human-in-the-loop plus automated evaluators
  • OpenTelemetry-based instrumentation
  • Free tier for getting started

Cons

  • Pricing is sales-led and not fully public
  • Production use pushes toward Enterprise plans
  • Less community mindshare than open-source rivals
  • Text/LLM-focused rather than broad APM
  • Setup requires instrumentation effort

Pricing plans

Free
$0 / month
  • Getting-started tracing
  • Basic evaluation
  • Trial access
  • Limited usage
Enterprise
Custom
  • Production monitoring
  • Data-residency options
  • SSO and governance
  • Dedicated support
  • Custom usage limits

Key features

API
Team collaboration
Self-hosted
Integrations
OpenAI, Anthropic, LangChain, LlamaIndex, OpenTelemetry
Input types
text
Output types
text
Best For
LLM app observability, agent evaluation, production monitoring

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Free plan
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Free trial
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API
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Self-hosted
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Team support
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Frequently asked questions

What does HoneyHive do?+

It provides observability and evaluation for LLM applications and agents, including tracing, automated and human evaluation, testing, and production monitoring in one platform.

How much does HoneyHive cost?+

HoneyHive uses sales-led pricing. There is a free tier for trials, but production and enterprise use require a custom quote from their team.

Does HoneyHive support data residency?+

Yes. HoneyHive emphasizes enterprise readiness including data-residency options, appealing to regulated organizations.

Can HoneyHive evaluate agents?+

Yes. It supports evaluating agent behavior with automated evaluators and human-in-the-loop review, plus tracing of tool calls and reasoning steps.

How do I instrument my app?+

You can use the HoneyHive SDK or OpenTelemetry-based instrumentation to capture traces of prompts, tool calls, and outputs.

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