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Modern AI Observability and Evaluation

Your single platform to build, test, debug, and monitor AI agents — whether you're just getting started or scaling agents across your enterprise.

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Evaluation
Tracing
Observability
Datasets
Evaluators
Playground
Annotation

Partnering with leading AI teams.
From startups to Fortune 100 enterprises.

Evaluation

Systematically measure AI quality with evals

Simulate your AI agent pre-deployment over large test suites and identify critical failures and regressions before they affect users.

Experiments. Track your scores and traces in the cloud.
Datasets. Centrally manage test cases with your team.
Custom Metrics. Create your own LLM or code metrics.
Human Review. Allow domain experts to grade outputs.
Regression Testing. Identify regressions as you hill climb.
CI Automation. Run larger evals with every commit.
Agent Observability

Debug and improve your agents with traces

Get instant end-to-end visibility into your agent interactions with OpenTelemetry, and analyze the underlying logs to debug issues faster.

Distributed Tracing. Ingest traces via OTel or REST APIs.
Online Evaluation. Run async evals on traces in the cloud.
Session Replays. Replay LLM chats in the Playground.
Filters and Groups. Quickly search and find trends.
Graph and Timeline View. Rich visualizations of agent steps.
Human Review. Allow domain experts to grade outputs.
Monitoring & Alerting

Monitor cost, latency, and accuracy at every step

Continuously monitor performance and quality metrics at every step - from retrieval and tool use, to reasoning, guardrails, and beyond.

Online Evaluation. Run async evals on traces in the cloud.
User Feedback. Log & analyze issues reported by users.
Dashboard. Get quick insights into the metrics that matter.
Custom Charts. Build your own queries to track custom KPIs.
Filters and Groups. Slice & dice your data for in-depth analysis.
Alerts and Drift Detection. Get alerts over critical AI failures.
Artifact Management

Collaborate with your team in UI or code

Domain experts and engineers can centrally manage prompts, tools, datasets, and evaluators in the cloud, synced between UI & code.

Prompts. Manage and version prompts in a collaborative IDE.
Datasets. Curate datasets from traces in the UI.
Evaluators. Manage, version, & test evaluators in the console.
Version Management. Git-native versioning across files.
Git Integration. Deploy prompt changes live from the UI.
Playground. Experiment with new prompt and models.
Open Ecosystem

Any model. Any framework. Any architecture.

Enterprise

Flexible and secure by design

We offer flexible hosting and data residency options to meet your security and compliance needs.

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SOC-2, GDPR, and HIPAA compliant

SOC-2 Type II, GDPR, and HIPAA compliant to meet your security and privacy needs.

Flexible hosting

Choose between multi-tenant SaaS, dedicated cloud, or self-hosting (BYOC).

OpenTelemetry-native

OTEL-native architecture compliments your existing DevOps investments.

"It's critical to ensure quality and performance across our AI agents. With HoneyHive, we've not only improved the capabilities of our agents but also seamlessly deployed them to thousands of users — all while enjoying peace of mind."

Div Garg

Co-Founder

"For prompts, specifically, versioning and evaluation was the biggest pain for our cross-functional team in the early days. Manual processes using Gdocs - not ideal. Then I found @honeyhiveai in the @mlopscommunity slack and we’ve never looked back."

Rex Harris

Head of AI/ML

"HoneyHive solved our biggest headache: monitoring RAG pipelines for personalized e-commerce. Before, we struggled to pinpoint issues and understand pipeline behavior. Now we can debug issues instantly, making our product more reliable than ever."

Cristian Pinto

CTO

Ship AI agents with confidence

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