HoneyHive delivers mission-critical AI evaluation, testing, and observability tools designed for teams building GenAI applications. It helps engineers, PMs, and domain experts to optimize and ensure the reliability of their AI models.
HoneyHive delivers mission-critical AI evaluation, testing, and observability tools designed for teams building GenAI applications. It helps engineers, PMs, and domain experts to optimize and ensure the reliability of their AI models.
HoneyHive is a comprehensive platform providing AI evaluation, testing, and observability tools, primarily aimed at teams building and maintaining GenAI applications. It enables developers to automatically test, evaluate, and benchmark models, agents, and RAG pipelines against safety and performance criteria. By aggregating production data such as traces, evaluations, and user feedback, HoneyHive facilitates anomaly detection, thorough testing, and iterative improvements in AI systems, ensuring they are production-ready and reliable.
Who will use honeyhive.ai?
Engineers
Project Managers
AI Researchers
Data Scientists
Software Developers
How to use the honeyhive.ai?
Step1: Sign up on HoneyHive platform.
Step2: Integrate your AI models and datasets.
Step3: Set up evaluation and testing parameters.
Step4: Deploy observability tools to monitor performance.
Step5: Analyze results and adjust models as necessary.
Step6: Use feedback to iteratively improve the AI models.
Platform
web
honeyhive.ai's Core Features & Benefits
The Core Features of honeyhive.ai
AI Evaluation
Testing and Benchmarking
Observability and Monitoring
Anomaly Detection
Performance Tracing
The Benefits of honeyhive.ai
Ensures reliability of GenAI applications
Improves model performance
Facilitates iterative development
Enhanced anomaly detection
In-depth performance insights
honeyhive.ai's Main Use Cases & Applications
AI model evaluation
GenAI application testing
Continuous model performance monitoring
Benchmarking AI agents
RAG pipeline optimization
FAQs of honeyhive.ai
What is HoneyHive?
HoneyHive provides AI evaluation, testing, and observability tools for GenAI applications.
Who should use HoneyHive?
Engineers, PMs, AI researchers, data scientists, and software developers are the primary users.
How do I integrate my AI models?
Sign up on the platform and follow the integration steps provided in the documentation.
What kind of performance can I monitor?
You can monitor model performance, user feedback, and detect anomalies in real-time.
Does HoneyHive support RAG pipelines?
Yes, it helps in evaluating and optimizing RAG pipelines.
Can I benchmark my AI models?
Yes, HoneyHive allows you to benchmark your models against safety and performance criteria.
What sort of data does HoneyHive aggregate?
It aggregates traces, evaluations, and user feedback for comprehensive observability.
How does HoneyHive help with anomaly detection?
HoneyHive uses observability tools to detect anomalies in production environments.
Is there a trial version available?
Visit the HoneyHive website or contact support to learn about trial options.
Can I use HoneyHive for iterative improvement of models?
Yes, the platform is designed to facilitate iterative development and improvement.