Netra is a unified platform for AI application observability, analytics, privacy protection, and security, designed to give teams deep visibility into how their AI systems behave in development and production while safeguarding sensitive data. Netra combines multi-language SDKs for instrumenting AI applications, a centralized customizable dashboard for monitoring traces, sessions, agents, users, and costs, an AI-specific analytics engine for understanding LLM performance, vector database behavior, and prompt effectiveness. Netra is built on OpenTelemetry standards, Netra integrates with leading LLM providers, vector databases, and AI frameworks, enabling end-to-end tracing, evaluation, and alerting across complex AI workflows. Netra also supports multi-tenancy, allowing you to isolate and track observability data across different tenants in your SaaS applications. Whether you are debugging latency issues, optimizing costs, enforcing security policies, or evaluating model quality, Netra provides the foundational observability layer needed to operate AI applications reliably at scale.

Netra: Features

Tracing
Evaluation
Alerting

Traces provides you end-to-end visibility into every AI request, capturing prompts, model calls, tools, latency, and token usage across the full execution lifecycle.