Q.What is DeepEval?
A.DeepEval is an open-source framework for LLM evaluation that integrates with Confident AI.
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Confident AI
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💲Freemium
Confident AI is an all-in-one LLM evaluation platform that helps engineering teams benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically enhance LLM applications.
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Platform
web
AI guardrailsAI monitoringAI testingDataset managementDeepEvalLLM evaluationLLM observability
What is Confident AI?
Confident AI is an all-in-one LLM evaluation platform designed for testing, benchmarking, and improving the performance of LLM applications. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically enhance LLM applications. Engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing.
Core Technologies
- Large Language Models (LLMs)
- DeepEval Framework
- AI Testing
- Metrics
- Tracing
Key Capabilities
- LLM Evaluation
- LLM Observability
- Regression Testing
- Component-Level Evaluation
- Dataset Management
- Prompt Management
- Tracing Observability
Use Cases
- Benchmark LLM systems to optimize prompts and models
- Monitor, trace, and A/B test LLM applications in production
- Mitigate LLM regressions by running unit tests in CI/CD pipelines
- Evaluate and debug individual components of an LLM pipeline
Core Benefits
- Comprehensive LLM evaluation with 14+ metrics
- Integration with DeepEval open-source framework
- End-to-end evaluation, regression testing, and component-level evaluation
- Real-time production performance insights
- Dataset curation and management
- Tracing and debugging capabilities
- Enterprise-level security and compliance (HIPAA, SOCII)
- Multi-data residency options (US, EU)
Key Features
- LLM Evaluation
- LLM Observability
- Regression Testing
- Component-Level Evaluation
- Dataset Management
- Prompt Management
- Tracing Observability
How to Use
- 1Install DeepEval framework
- 2Choose metrics for evaluation
- 3Plug Confident AI into your LLM app
- 4Run an evaluation to generate test reports
- 5Debug with traces for insights
Pricing Plans
Free
$0
Limited to 1 project, 5 test runs per week, 1 week data retention.
Starter
From $29.99
Per user per month, starting from 1 user seat, 1 project, 10k monitoring LLM responses/month, 3 months data retention.
Premium
From $79.99
Per user per month, starting from 1 user seat, 1 project, 50K monitored LLM responses/month, 50k online evaluation metric runs/month, 1 year data retention.
Enterprise
Custom pricing
Unlimited advanced everything, unlimited user seats, unlimited projects, unlimited online evaluations, 7 years data retention.
Frequently Asked Questions
Q.What metrics does Confident AI offer?
A.Confident AI offers 14+ metrics to run LLM experiments.
Q.What compliance standards does Confident AI meet?
A.Confident AI meets HIPAA and SOCII compliance standards.
Q.Where can I store and process my data?
A.You can store and process data in the United States of America (North Carolina) or the European Union (Frankfurt).
Pros & Cons (Reserved)
✓ Pros
- Comprehensive LLM evaluation with 14+ metrics
- Integration with DeepEval open-source framework
- End-to-end evaluation, regression testing, and component-level evaluation
- Real-time production performance insights
- Dataset curation and management
- Tracing and debugging capabilities
- Enterprise-level security and compliance (HIPAA, SOCII)
- Multi-data residency options (US, EU)
✗ Cons
- Pricing may vary based on usage and features
- Some features are only available in higher-tier plans
- Potential learning curve for users unfamiliar with LLM evaluation concepts
Alternatives
No alternatives found.