Athina AI
An AI observability platform that monitors LLM outputs, detects hallucinations and errors, and helps teams optimize model performance in production.
LLM MonitoringAI ObservabilityHallucination DetectionModel OptimizationMLOpsAI Safety
Athina AI Introduction
Athina AI is a dedicated observability platform for teams building applications on top of large language models. It continuously monitors the quality and safety of LLM outputs, alerting developers to hallucinations, bias, or performance degradation. With features like prompt analytics, A/B testing, and detailed logs, Athina AI helps organizations iterate faster on their AI features while maintaining trust and reliability. It’s an essential tool for AI engineers, product managers, and compliance teams responsible for LLM-powered products in production.
Key Features
- Tracks LLM response quality metrics such as accuracy, relevance, and toxicity
- Detects hallucinations and factual inconsistencies in real time
- Logs and visualizes prompts and responses for debugging and analysis
- Enables A/B testing of different prompts and models to improve outputs
- Integrates with popular LLM frameworks like LangChain and OpenAI SDK
