HoneyHive
HoneyHive is an AI observability and evaluation platform that helps enterprises and AI startups test, debug, and monitor production LLM agents. Its OpenTelemetry-native system provides distributed tracing, online and offline evaluation, and multi-agent debugging across 100+ LLMs and frameworks.
- Company typePrivate
- Founded2022
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What HoneyHive does
HoneyHive is an AI observability and evaluation platform that enables organizations to test, debug, and monitor LLM-based applications and agents in production. The platform unifies distributed tracing, online and offline evaluation, session replay, and human annotation workflows into a continuous improvement loop, targeting AI-focused startups and Fortune 500 enterprises deploying agents at scale. Its flagship customer reference is Commonwealth Bank of Australia, where HoneyHive powers observability and evaluation across dozens of mission-critical AI systems serving 17M+ consumers.
The platform is built on OpenTelemetry standards with a proprietary wide-event data model that consolidates all context — inputs, outputs, timing, metrics, metadata, feedback, and errors — into a single record per event. It instruments natively across more than 100 LLM providers and agent frameworks (OpenAI, Anthropic, Google ADK, AWS Strands, Microsoft Semantic Kernel, AutoGen, LangGraph, CrewAI, LangChain, LlamaIndex, Pydantic AI, and others) plus AI gateways (LiteLLM, Portkey, TrueFoundry) and coding agents (Claude Code, Devin, Cursor), distributed via a Python SDK, CLI, and REST APIs. HoneyHive v2 (April 2026) introduced virtual data planes with logical tenant isolation, SKILL.md and a Docs MCP server for autonomous coding-agent workflows, and Self-Hosted (BYOC/BYOVPC) deployment options alongside multi-tenant SaaS and dedicated cloud.
The company operates a hybrid go-to-market combining product-led growth (free tier at app.us.honeyhive.ai) with enterprise field sales targeting Fortune 500 accounts. Revenue streams comprise SaaS subscriptions, usage-based transactional fees, and managed services for self-hosted enterprise deployments. Pricing tiers include freemium, paid subscription with non-rollover usage credits, and multi-year enterprise contracts; specific pricing is sales-gated. HoneyHive Inc. is a Delaware C-corporation headquartered in Brooklyn, New York (77 Sands Street), incorporated in 2022, with 1-10 employees, $7.4 million in cumulative seed funding, and SOC 2 Type II, HIPAA BAA, and GDPR compliance certifications.
HoneyHive firmographics
Firmographics- Name
- HoneyHive
- Legal name
- HoneyHive Inc.
- Website
- https://honeyhive.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- HoneyHive is an AI observability and evaluation platform that helps enterprises and AI startups test, debug, and monitor production LLM agents. Its OpenTelemetry-native system provides distributed tracing, online and offline evaluation, and multi-agent debugging across 100+ LLMs and frameworks.
- Ownership category
- akta.pro rank
HoneyHive industry classification
Industry- Product category
- AI Observability Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
- akta.pro secondary industries
- MLOps/LLMOps & Model Lifecycle Management Services (BPAEAHAH), Hybrid Cloud Management, Monitoring & FinOps (HDABAMAD)
Keywords
Where HoneyHive is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
HoneyHive business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Platform Subscription: HoneyHive offers subscription-based access to its AI observability platform with free and paid tiers. Paid subscriptions include monthly or annual subscription fees with usage credits that do not carry over month over month.
- Usage-based Credits: Each subscription tier includes a set number of usage credits that customers utilize over the subscription period. Transactional fees may apply beyond included credits.
- Enterprise Self-hosted Deployment: Self-hosted deployments for organizations with strict privacy, security, or compliance requirements, managed through HoneyHive's Enterprise team with dedicated implementation and support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free Subscription - Entry-level access for evaluation and small-scale use |
| Subscription | Annual | Paid Subscription - Full platform access with usage credits |
| Subscription | Multi-year contract | Enterprise - Self-hosted deployment with dedicated support |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels7 records
HoneyHive product offering
Product offeringCore offering
HoneyHive Cloud is an enterprise AI observability platform that unifies distributed tracing, online evaluation, and continuous monitoring into a single workflow for production LLM applications and AI agents. The platform is built on OpenTelemetry standards with a wide-event data model that captures full context per trace, supporting deployment as multi-tenant SaaS, dedicated cloud, or self-hosted (BYOC/BYOVPC). It is sold via tiered subscriptions ranging from a free developer tier to enterprise contracts.
Product overview
HoneyHive is an AI observability platform that unifies distributed tracing and evaluation into a continuous improvement loop for production AI agents. The core platform consists of Observability (traces, trajectories, session replays), Evaluations (offline experiments with custom LLM-as-a-judge evaluators), Prompt Management (playground for debugging), Annotation Queues (human feedback workflows), and a Dashboard for monitoring cost, latency, and quality metrics. HoneyHive v2 introduced virtual data planes with logical tenant isolation, a Docs MCP server for IDE integration, CLI tooling, and SKILL.md for coding agents. The platform supports multiple deployment options: Multi-Tenant SaaS (default), Dedicated Cloud, and Self-Hosted (BYOC/BYOVPC) for AWS, with Azure AKS, GCP GKE, and on-premise coming soon. Developer experience includes Python SDK, CLI, and integration with 100+ LLMs and agent frameworks via OpenTelemetry.
Differentiator
Problem solved
Functional benefit
Products and services
- HoneyHive Platform Unified AI observability platform that combines distributed tracing and evaluation into a continuous improvement loop, enabling teams to ship quality AI agents with confidence. Built on OpenTelemetry standards with logical data isolation, serving enterprise AI teams and AI startups deploying agents to production.
- HoneyHive v2 Major version release of the HoneyHive platform introducing virtual data planes with logically isolated tenants by default, dedicated cloud and self-hosted deployment options, plus new developer tooling including SKILL.md, Docs MCP server, and an enhanced CLI.
- HoneyHive Python SDK Python SDK providing HoneyHiveTracer, @trace decorator, enrich_span, enrich_session, and evaluate() functions. Supports scripts, notebooks, Lambda, FastAPI, Flask, and multi-instance tracing patterns for instrumenting AI applications.
- HoneyHive CLI Command-line interface providing full API access from the terminal. Enables coding agents to manage HoneyHive autonomously or allows developers to script workflows in GitHub Actions and CI/CD pipelines.
- Docs MCP Server Model Context Protocol server enabling real-time documentation search from IDE. Supports Cursor, Claude Code, VS Code, Windsurf, Codex, and other MCP-compatible coding agents.
- SKILL.md (Coding Agent Skills) Ready-made skills for coding agents to set up tracing and evals, root-cause production alerts, categorize failures, and drive improvements autonomously using natural language instructions.
- HoneyHive Self-Hosted Deployment (BYOC/BYOVPC) Private cloud or on-premise deployment option for organizations with strict privacy, security, or compliance requirements. Supports BYOC (Bring Your Own Cloud on AWS EKS) and BYOVPC (Bring Your Own VPC) deployment models.
Quantifiable outcome
- Enables safe and responsible deployment of AI agents serving 17M+ consumers at CBA
- +1 more outcomes
Companies that use HoneyHive
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles2 records
HoneyHive technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration36 records
AI capability5 records
Feature9 records
HoneyHive partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core and flagship.
- BitwisecoreHoneyHive and Bitwise announced a strategic partnership combining HoneyHive's AI observability platform with Bitwise's engineering expertise to help enterprises scale AI initiatives with governance, transparency, and reliability. The joint solution targets regulated industries including financial services, healthcare, and insurance, offering end-to-end AI lifecycle support, real-time observability, and compliance frameworks. The partnership is part of Bitwise's broader strategy to help enterprises 'Engineer their AI Advantage' by bridging AI platforms with enterprise execution.
- Commonwealth Bank of Australia (CBA)flagshipCBA uses HoneyHive for production AI observability, powering dozens of mission-critical AI systems enabling safe and responsible deployment of AI agents serving 17M+ consumers.
Scale indicators3 records
Recent moves5 records
Expansion highlights6 records
HoneyHive competitors and assessment
Company assessmentDirect peers
- WhyLabs: WhyLabs offers an AI observability and monitoring platform with LLM evaluation, drift detection, and guardrails. It is comparable to HoneyHive as a specialist observability provider for production AI workloads.
- Helicone: Helicone is an open-source LLM observability platform offering logging, tracing, and evaluation for AI applications. It directly competes with HoneyHive on agent tracing and developer-focused onboarding.
- LangSmith: LangSmith is the observability and evaluation platform from LangChain (LangChain, Inc.), offering tracing, evaluation, and monitoring for LLM applications. It is the most direct competitor to HoneyHive given overlapping agent-framework focus and developer-led GTM.
- Arize AI: Arize AI provides an LLM evaluation and observability platform with tracing, evaluation, and drift detection for production AI systems. It is a direct competitor in AI/agent observability serving enterprise AI teams.
- Langfuse: Langfuse is an open-source LLM engineering platform offering tracing, evaluation, prompt management, and dataset management. It is a direct open-source competitor to HoneyHive in agent/LLM observability.
Broad incumbents
- Weights & Biases: Weights & Biases is a broader MLOps platform with experiment tracking, model registry, and increasingly LLM evaluation tooling. It overlaps with HoneyHive's evaluation and dataset management modules but serves a wider ML audience.
- Datadog: Datadog is an enterprise monitoring and observability platform that has added LLM and AI observability features (LLM Observability, AI Guard). It is a broad incumbent that could expand into agent observability and compete with HoneyHive at the enterprise monitoring layer.
- New Relic: New Relic is an enterprise observability platform with APM, logs, and AI monitoring capabilities. It competes at the broader application and AI observability layer where HoneyHive's tracing integrates.
Emerging players
- Galileo: Galileo provides an LLM evaluation and observability platform with focus on hallucination detection, evaluation, and production monitoring. It is an emerging specialist competitor with partial overlap to HoneyHive's evaluation and online monitoring features.
- Traceloop: Traceloop is an OpenTelemetry-native observability platform specifically for LLM applications, offering tracing and evaluation. It is highly comparable to HoneyHive on OpenTelemetry-native positioning and agent/LLM tracing focus.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
HoneyHive social profiles
Digital presenceHoneyHive compliance and trust
Trust signalCompliance3 records
HoneyHive financial estimates
Financial estimateRevenue estimate
Valuation estimate
HoneyHive leadership team
Management profileNumber of profiles
Profiles2 records
HoneyHive funding detail
Funding detailFunding overview
Funding rounds2 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
HoneyHive M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about HoneyHive
What does HoneyHive do?
HoneyHive Cloud is an enterprise AI observability platform that unifies distributed tracing, online evaluation, and continuous monitoring into a single workflow for production LLM applications and AI agents. The platform is built on OpenTelemetry standards with a wide-event data model that captures full context per trace, supporting deployment as multi-tenant SaaS, dedicated cloud, or self-hosted (BYOC/BYOVPC). It is sold via tiered subscriptions ranging from a free developer tier to enterprise contracts.
Is HoneyHive a public or private company?
HoneyHive is a private company. It is classified as venture growth investor backed and is currently operating.
When was HoneyHive founded?
HoneyHive was founded in 2022. It employs 11 to 50 people.
Where is HoneyHive based?
HoneyHive is headquartered in New York, United States, in the North America region.
How does HoneyHive make money?
Three revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are usage-based Credits and enterprise Self-hosted Deployment.
Who are HoneyHive's main competitors?
Direct peers on record are WhyLabs, Helicone, LangSmith, Arize AI and Langfuse. Broad incumbents are Weights & Biases, Datadog and New Relic. Emerging players are Galileo and Traceloop.
Does HoneyHive have an API?
Yes. HoneyHive provides REST APIs for logging application data including session management (POST /session/start) and event ingestion (POST /events/model, POST /events, POST /events/batch). The SDK supports synchronous and asynchronous ingestion strategies for LLM calls and tool invocations. APIs have been simplified with minimal required properties for LLM data ingestion and generic event logging for external tool calls. Developer documentation is at docs.honeyhive.ai/v2/api-reference-autogen/sessions/start-a-new-session.
What industry is HoneyHive in?
HoneyHive's product category is AI Observability Platform. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG), with a secondary code of BPAEAHAH, MLOps/LLMOps & Model Lifecycle Management Services. Its NAICS code is 518 and its SIC code is 7372.