Athina AI

What is Athina AI?

Athina AI is a purpose-built observability platform for large language model (LLM) applications—designed to give engineering teams full-stack visibility, actionable evaluation insights, and production-grade reliability for generative AI systems.

How to use Athina AI?

Install the lightweight SDK in minutes, connect your LLM endpoints or RAG pipelines, and instantly begin collecting telemetry, running automated evaluations, and visualizing performance trends—all without code changes to your core application.

Key Features From Athina AI

End-to-end RAG observability with trace-level debugging

Prebuilt, extensible evaluation suite—including factual consistency, answer relevance, toxicity, latency, and 40+ domain-aware metrics

Real-time anomaly detection & automated root-cause alerts for hallucinations, drift, and prompt degradation

Athina AI's Use Cases

Ensure reliability of LLM-powered products in live environments

Systematically identify, triage, and resolve hallucinations at scale

Version, test, and optimize prompts alongside model outputs

• Athina AI Support Email & Customer Service Contact & Refund Policy

  For technical onboarding, billing inquiries, or support requests, book a dedicated session: Schedule a call with Athina's team

• Athina AI Company

  Official entity name: Athina AI Inc. — building the foundational infrastructure for trustworthy, measurable, and maintainable LLM applications.

• Athina AI Pricing

  Transparent, usage-based plans—including free tier for startups and self-hosted enterprise options. View all plans: Athina AI Pricing Page

• Athina AI LinkedIn

  Follow our research, product updates, and industry insights: Athina AI on LinkedIn

• Athina AI GitHub

  Explore open-source evaluation tools, integrations, and SDKs: athina-evals on GitHub

FAQ from Athina AI

What is Athina AI?

Athina AI is an observability and evaluation platform engineered specifically for developers deploying LLM applications—turning opaque generative AI behavior into quantifiable, debuggable, and improvable metrics.

How to use Athina AI?

With a single-line SDK integration and optional API key setup, you can start capturing traces, triggering auto-evaluations, and viewing dashboards—typically within under 5 minutes.

How long does it take to integrate Athina AI into my application?

Most teams go from zero to first dashboard in under 5 minutes. Advanced configurations (e.g., custom eval logic or tracing deep RAG steps) take under 30 minutes with documentation support.

Is Athina AI compatible with all LLMs?

Yes—Athina supports any LLM stack: OpenAI, Anthropic, Gemini, Llama, Mistral, Azure OpenAI, and self-hosted models via standard API or LangChain/LlamaIndex instrumentation.

Can I host Athina AI on my own infrastructure?

Absolutely. Athina offers fully managed cloud, hybrid, and air-gapped self-hosted deployments—ensuring compliance, data sovereignty, and seamless alignment with your internal security policies.