Athina

Description

Athina is a comprehensive, collaborative AI development platform designed to empower teams in building, testing, and monitoring AI features with increased efficiency. It provides a unified environment for managing prompts, evaluating datasets, and prototyping complex AI flows, enabling teams to ship AI products up to 10 times faster.

The platform caters to a diverse range of users, from non-technical product managers to data scientists and engineers. Product managers can leverage no-code AI engineering to build intricate AI flows without deep technical expertise. Data scientists can work with their data, compare datasets side-by-side, and interact with them using SQL. Engineers gain access to programmatic control, allowing them to run prompts, flows, and evaluations via code, while still offering a user-friendly UI for non-technical collaborators.

Key capabilities include prompt management, where users can manage, test, and run prompts with any model, including custom ones. Dataset evaluation is enhanced with over 50 preset evaluations or custom configurations, and the ability to re-generate datasets by modifying models, prompts, or retrievers. Athina also facilitates human-in-the-loop verification through its annotation features, allowing teams to verify evaluation results and annotate datasets.

For AI monitoring and observability, Athina offers powerful tools designed natively for LLM traces. It captures every step of LLM flows for replayability and provides continuous online evaluations that run on incoming logs for real-time accuracy visibility. Segmented and comparative analytics allow users to understand model performance over time and across different segments like prompts, models, or customer IDs.

Data privacy and security are paramount, with Athina offering fine-grained access controls and self-hosted deployment options within your cloud environment. It is also SOC-2 Type 2 compliant. The platform supports custom models from providers like Azure OpenAI and AWS Bedrock, ensuring flexibility for diverse AI stacks. Athina aims to accelerate AI development by providing a robust, user-friendly, and secure environment for the entire AI lifecycle.

Athina's Core Features

• Collaborative AI development platform

• Prompt management and testing

• Dataset evaluation with 50+ preset evals

• Customizable evaluation configurations

• AI flow prototyping

• No-code AI engineering for product managers

• Programmatic access for engineers

• Human QA integration for dataset annotation

• LLM trace monitoring and replay

• Continuous online evaluations

• Segmented and comparative analytics

• Self-hosted deployment option

• Fine-grained access controls

• SOC-2 Type 2 compliance

• Support for custom models and providers

How to use Athina?

1. 1

   Prototype: Build powerful AI chains and run them programmatically.

2. 2

   Evaluate: Test datasets using preset or custom evaluations.

3. 3

   Annotate: Allow your team to verify results and annotate datasets.

4. 4

   Manage: Control prompts, datasets, and AI flows collaboratively.

5. 5

   Monitor: Gain visibility into production AI with tracing and analytics.

6. 6

   Integrate: Use the API or UI to incorporate Athina into your workflow.

Athina's Use Cases

• AI Feature Development
• Prompt Engineering
• Dataset Evaluation
• AI Flow Prototyping
• AI Observability
• Human-in-the-Loop QA
• No-Code AI Engineering
• Custom Model Integration

FAQ from Athina

• What is Athina and what does it do?

  Athina is a collaborative AI development platform that helps teams build, test, and monitor AI features. It streamlines prompt management, dataset evaluation, and AI flow prototyping to accelerate AI development.

• Who is Athina designed for?

  Athina is designed for collaborative teams including data scientists, product managers, and engineers, enabling both technical and non-technical users to work together on AI projects.

• Can Athina be deployed in my own environment?

  Yes, Athina offers a self-hosted deployment option, allowing you to deploy the platform entirely within your own VPC for complete data privacy.

• Does Athina logging add latency to my applications?

  No, Athina logging is performed as an asynchronous fire-and-forget operation, ensuring it does not impact your application's latency.

• What types of evaluations does Athina support?

  Athina supports over 50 preset evaluations from providers like Athina, OpenAI, and Ragas, and also allows for custom evaluations using LLM-as-a-judge or custom Python functions.

• How does Athina help with AI monitoring?

  Athina provides powerful monitoring tools for AI, including native LLM trace capturing for replayability, continuous online evaluations, and segmented analytics for performance insights.

• Can I use custom AI models with Athina?

  Yes, Athina supports custom models and providers such as Azure OpenAI and AWS Bedrock, offering flexibility for your AI infrastructure.

• How quickly can I integrate Athina for logging?

  You can get set up with Athina logging in just a few minutes by visiting their documentation.

• Does Athina offer different pricing plans?

  Yes, Athina offers flexible pricing with a Starter (Free) tier, an Advanced tier with more analytics, and a Pro tier with unlimited logs and evals, plus Enterprise custom pricing.

• Is Athina compliant with security standards?

  Yes, Athina is SOC-2 Type 2 compliant, ensuring that your data is secure and protected.