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Modern AI Observability and Evaluation

Your single platform to observe, evaluate, and improve AI agents — whether you're just getting started or scaling agents across your enterprise.

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Agents
Evaluations
Alerts
Evaluators
Playground
Annotations

Trusted by leading companies.
From startups to Fortune 100 enterprises.

Experiments

Systematically measure AI quality with evals

Systematically evaluate AI agents pre-deployment over large test suites and identify regressions before they affect users.

Experiments. Test your agents offline against large datasets.
Datasets. Centrally manage test cases with domain experts.
Online Evaluation. Run live LLM-as-a-judge or custom code evals over logs.
Annotation Queues. Allow domain experts to grade outputs.
Regression Detection. Identify critical regressions as you iterate.
CI Automation. Run automated test suites with every commit.
Observability

Debug and optimize your agents with traces

Get end-to-end visibility into your agents across the enterprise, and analyze the underlying logs to debug issues faster.

OpenTelemetry-native. Ingest traces via our OTEL SDKs.
Online Evaluation. Run async evals on traces post-ingestion.
Session Replays. Replay chat sessions 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 quality at every step

Continuously evaluate your agents against 50+ pre-built evaluation metrics, and get real-time alerts when your agents fail in production.

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.
OpenTelemetry-native

Open standards, open ecosystem

Enterprise

Enterprise-grade security

HoneyHive is trusted by Global Top 10 banks and Fortune 500 enterprises in production.

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SOC-2, GDPR, and HIPAA compliant

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

Self-hosting

Choose between multi-tenant SaaS, dedicated cloud, or self-hosting in VPC or on-prem.

Granular permissions

RBAC with fine-grained permissions across multi-tenant workspaces.

"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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