Nirixa is an AI observability and cost intelligence platform designed specifically for developers and teams working with large language models (LLMs). It provides comprehensive monitoring capabilities for AI-powered applications, enabling real-time tracking of critical metrics across multiple AI providers.
Key Features
- Multi-Provider Support: Drop-in SDK integration for OpenAI, Anthropic, Gemini, and other major LLM providers
- Comprehensive Metrics: Track token usage, cost calculations, latency measurements, and hallucination risk assessment
- Real-time Monitoring: Live dashboard for observing AI call performance and expenses
- Developer-Friendly: Easy integration with existing AI applications through simple SDK implementation
- Cost Intelligence: Detailed cost breakdowns and optimization insights for AI spending
Target Users
- AI Developers: Engineers building applications with LLM integrations
- DevOps Teams: Professionals responsible for monitoring AI system performance
- Product Teams: Managers tracking AI costs and performance metrics
- Startups & Enterprises: Organizations scaling AI implementations with budget control
Use Cases
- Monitoring production AI applications for performance issues
- Controlling and optimizing AI infrastructure costs
- Detecting and mitigating hallucination risks in LLM outputs
- Benchmarking different AI providers and models
- Auditing AI usage for compliance and reporting purposes
