Introduction: A collaborative AI development platform for building, testing, and monitoring AI features.
Added on: Jan 20, 2025
Athina AI

What is Athina AI

Athina is a comprehensive platform designed to facilitate the development, testing, and monitoring of AI features. It supports collaboration between technical and non-technical team members, enabling them to manage prompts, evaluate datasets, and monitor AI performance effectively. Athina is trusted by world-class AI teams and offers a range of features to streamline AI development workflows.

How to Use Athina AI

  1. Manage Prompts: Create and run prompts with any model, including custom models.
  2. Evaluate Datasets: Use 50+ preset evaluations or configure custom evaluations.
  3. Re-generate Datasets: Modify models, prompts, or retrievers to re-generate datasets.
  4. Collaborate: Allow team members to verify evaluation results and annotate datasets.
  5. Prototype Chains: Build and run powerful AI chains programmatically.
  6. Monitor AI Performance: Use Athina's monitoring tools to trace every step of your AI workflows and evaluate performance continuously.

Use Cases of Athina AI

Athina is ideal for AI teams looking to streamline their development process. It is particularly useful for:

  • Data Scientists: Managing and evaluating datasets.
  • Product Managers: Collaborating on AI experiments and managing prompts.
  • QA Teams: Verifying AI evaluation results and annotating datasets.
  • Engineers: Running prompts, flows, and evaluations programmatically.

Features of Athina AI

  • Manage Prompts

    Create and run prompts with any model, including custom models.

  • Evaluate Datasets

    Use 50+ preset evaluations or configure custom evaluations to assess dataset quality.

  • Re-generate Datasets

    Easily modify models, prompts, or retrievers to re-generate datasets.

  • Collaborate

    Enable team members to verify evaluation results and annotate datasets.

  • Prototype Chains

    Build and run powerful AI chains programmatically.

  • Monitor AI Performance

    Trace every step of your AI workflows and evaluate performance continuously.

FAQs from Athina AI

1

Does Athina have a self-hosted deployment option?

Yes, Athina can be deployed as a self-hosted image. Contact hello@athina.ai for more information.
2

Does Athina logging add any latency?

No, Athina logging can be performed as an async fire-and-forget operation, so it won't impact your latency.
3

Does Athina support custom evaluations?

Yes, Athina enables you to configure custom evaluators. You can use a custom LLM evaluation, write a custom Python function, or even call an external API for evaluation.
4

Does Athina work with Azure / Vertex / Bedrock?

Yes, you can use custom models hosted anywhere using Athina.
5

How long does Athina take to integrate?

You can get set up with logging in just a few minutes. Visit https://docs.athina.ai/logging to get started.
6

What kind of evaluations does Athina support?

Athina supports over 50 preset evaluations from providers like Athina, OpenAI, Ragas, Guardrails, and more. You can also configure custom evaluations using LLM-as-a-judge, or custom Python functions.