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AI Performance and Reliability, Delivered

AI engineering shouldn't need guesswork. Debug and improve your AI applications with end-to-end testing and observability.

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

Ship AI applications with certainty, not vibes

Tracing. Trace any AI application with OpenTelemetry.
Experiments. Measure quality and accuracy over large suite suites.
Monitoring. Monitor key metrics and get alerts in production.
Prompt Management. Manage and version prompts in the cloud.
Datasets. Curate, label, and version datasets across your projects.
Online Evaluation. Measure quality using LLM-as-a-judge or code.
Annotations. Collect feedback from end-users and SMEs.
Automations. Automate fine-tuning and testing workflows.
Evaluation

Run automated evals to ship with confidence

Offline evals help you test your entire application logic over a dataset of inputs and identify regressions every time you make changes.

Experiment Reports. Explore evaluation results in the UI.
Custom Evaluators. Create your own LLM or code metrics.
Datasets. Manage golden datasets in the cloud.
Human Review. Allow domain experts to review outputs.
Benchmarking. Compare versions side-by-side.
Github Actions. Run auto-evals with every commit.
Tracing

Debug and optimize your application with traces

Tracing helps you understand how data flows through your application and analyze the underlying logs to debug issues.

Distributed Tracing. Trace your agent with OpenTelemetry.
Debugging. Debug errors and find the root cause faster.
Online Evaluation. Run async evals on traces in the cloud
Human Review. Allow SMEs to grade outputs.
Session Replay. Replay LLM requests in the Playground.
Filters and Groups. Quickly search and find trends.
Monitoring

Monitor cost, latency, and quality at every step

Online evals help you continuously monitor failures at every step in your application logic - from RAG and tool use, to model inference and beyond.

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

Collaborate with your team in UI or code

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

Playground. Test new prompts and models with your team.
Version Management. Track prompt changes as you iterate.
Git Integration. Manage all artifacts in your Git repo.
Prompt History. Logs all your Playground interactions.
Tools. Manage and version your function calls and tools.
100+ Models. Access all major model providers.
Integrations

Any model. Any framework. Any cloud.

Developers

Integrate your app in seconds

OpenTelemetry-native. Our JS and Python SDKs use OTel to auto-instrument 15+ frameworks, model providers, and vector DBs.

Optimized for large context. Log up to 2M tokens per span and monitor large-context requests with ease.

Wide events. Store your logs, metrics, and traces together for lightning-fast analytics over complex queries.

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Enterprise

Secure and scalable

We use a variety of industry-standard practices to keep your data encrypted and private at all times.

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Built for scale

HoneyHive seamlessly scales over 1,000 requests per second.

Self-hosting

Deploy in our managed cloud, or in your VPC. You own your data and models.

Dedicated support

Dedicated CSM and white-glove support to help you at every step of the way.

"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 products with confidence

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