Athina AI

What is Athina AI?

Who created Athina AI?

Athina Ai was created by Shiv Pratap Singh. The company provides a platform that enables teams to prototype, experiment, evaluate, and monitor LLM-powered apps, helping them process millions of requests weekly for various teams. Athina's innovative approach has garnered praise from industry leaders like Michael Brady of RightPage and Eshan Agarwal of Epsilon AI, who highlight its significant impact on AI product development. The platform features an IDE for collaborative editing, end-to-end AI application development tools, enterprise-grade controls, self-hosted deployment options, role-based access controls, multiple workspaces, custom models access, and flexible pricing tailored for teams of all sizes .

What is Athina AI used for?

• Role-Based Access Controls
• Prototyping AI features
• Experimenting with AI applications
• Evaluating LLM-powered apps
• Monitoring LLM outputs
• Testing AI products quickly
• Re-running prompts with multiple models
• Trying different models on the same trace
• Re-generating datasets with different models or prompts
• Transforming data with dynamic columns
• Comparing prompts side-by-side
• Prototype, experiment, evaluate, and monitor LLM-powered apps
• Collaborative spreadsheet-like editor for product teams to experiment, prototype, and test AI products fast
• Re-run a prompt with multiple models
• Try different models on the same trace
• Re-generate datasets with different models or prompts
• Transform data with dynamic columns
• Compare prompts side-by-side
• Compare datasets with diff view
• Self-hosted deployment as an on-prem solution

Who is Athina AI for?

• AI developers
• Data scientists
• Product Managers
• AI researchers
• Data engineers
• Machine learning engineers
• Software engineers

How to use Athina AI?

To use Athina Ai, follow these steps:

1. Access the Athina IDE: Utilize the collaborative spreadsheet-like editor in the Athina IDE to experiment, prototype, and test AI products swiftly.

2. Explore End-to-End Features: Benefit from the platform's capabilities to rerun prompts with multiple models, try different models on the same trace, regenerate datasets with various models or prompts, transform data with dynamic columns, compare prompts side-by-side, and view datasets with different comparisons.

3. Enterprise-Grade Controls: Ensure data security and privacy by choosing self-hosted deployment options. Athina can be deployed as an on-premises solution in your private cloud, keeping your data confidential.

4. Role-Based Access Controls: Configure fine-grained permissions to manage user access to different features and data based on roles.

5. Multiple Workspaces: Create distinct workspaces for various teams or projects to organize and streamline your work effectively.

6. Utilize Custom Models: Access custom models and providers such as Azure OpenAI, AWS Bedrock, and more to enhance the capabilities of Athina Ai.

7. Flexible Pricing: Benefit from flexible pricing options suitable for teams of all sizes to start monitoring and evaluating AI outputs efficiently.

By following these steps, users can effectively harness the power of Athina Ai for prototyping, experimenting, evaluating, and monitoring AI applications with ease. For a more personalized walkthrough of the platform, users can schedule a call with the Athina team..