Athina AI

Athina AI

Athina is an advanced collaborative platform for AI development, enabling seamless building, testing, and monitoring of AI features with comprehensive visibility and evaluation tools.

About Athina AI

Athina provides a collaborative environment for AI teams to develop, test, and oversee AI features efficiently. It offers detailed insights into RAG pipelines, over 40 evaluation metrics, and tools for prompt design, dataset assessment, and team collaboration. Compatible with custom models and cloud deployment, Athina ensures data security and privacy throughout the AI lifecycle.

How to Use

Athina's intuitive UI and API enable users to manage prompts, evaluate datasets, log inferences, and create datasets. It supports prototyping AI flows, running evaluations, and tracking model performance in production environments.

Features

  • Collaborative AI development environment
  • Performance monitoring and detailed analytics
  • Dataset evaluation, annotation, and management
  • Prompt engineering and optimization
  • Visibility into RAG pipeline processes
  • Customizable evaluation metrics and presets
  • Team collaboration with role-based access
  • Secure self-hosted deployment options

Use Cases

  • Collaborating on AI experiments and research
  • Creating, managing, and annotating datasets
  • Evaluating dataset accuracy and model performance
  • Logging inference data for analysis
  • Monitoring AI applications in production
  • Managing prompts and conversational flows
  • Developing and testing new AI features

Best For

AI LeadershipProduct ManagersData ScientistsAI EngineersQuality Assurance Teams

Pros

  • Robust data privacy with detailed access controls
  • Supports collaboration across technical and non-technical teams
  • Flexible deployment with custom model support and self-hosting
  • Wide range of preset and customizable evaluation metrics
  • Integrates seamlessly with existing observability tools
  • Comprehensive suite for AI development, testing, and monitoring

Cons

  • Some features may require technical setup or coding
  • Pricing could be a barrier for small teams or individual developers
  • Initial configuration may need technical expertise

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Starter

Free

Includes 10,000 logs per month, advanced analytics, unlimited prompts, prompt and model comparisons, and metrics tracking for cost and latency.

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Most Popular

Pro

Contact us

All Starter features plus unlimited logs, evaluations, datasets, team seats, white-glove support, and access to GraphQL API.

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Enterprise

Custom pricing

Includes all Pro features, self-hosted deployment, SOC-2 Type 2 compliance, advanced access controls, and support for custom models.

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FAQs

Can Athina be deployed on-premises?
Yes, Athina offers a self-hosted deployment option. Contact hello@athina.ai for details.
Does logging in Athina impact system latency?
No, logging occurs asynchronously, so it does not affect your application's latency.
Can I create custom evaluations in Athina?
Absolutely. You can configure custom evaluators, including external API calls and custom Python functions.
Is Athina compatible with cloud providers like Azure or Google Cloud?
Yes, Athina supports models hosted on any cloud platform, including Azure, Vertex AI, and Bedrock.
How quickly can I set up Athina for my team?
Setup is straightforward; you can start logging within minutes. Refer to https://docs.athina.ai/logging for guidance.
What types of evaluations does Athina support?
Athina offers over 50 preset evaluations from various providers and allows custom evaluation setups using LLMs or Python functions.