Athina

Manage, test and run prompts with any model

Athina allows users to manage, test, and run prompts across various models, including custom models. This feature streamlines the process of prompt management, enabling teams to efficiently utilize AI models for their specific needs.

Allow your team to verify evaluation results and annotate datasets

This feature enables team members to collaboratively verify evaluation results and annotate datasets, ensuring higher quality and accuracy in data handling. It fosters teamwork and improves the overall dataset quality.

Prototype powerful chains and run them programmatically

Athina allows users to prototype complex AI workflows and execute them programmatically. This feature is designed for developers who want to create intricate AI processes without extensive coding.

Evaluate your datasets using 50+ preset evals

Users can evaluate their datasets with over 50 preset evaluations or configure custom evaluations tailored to their specific requirements. This flexibility allows for comprehensive analysis and validation of datasets.

Continuous evaluation

Athina's online evaluations can be configured to run continuously on incoming logs, providing real-time visibility into model accuracy. This ensures that users are always informed about their AI's performance.

Compare eval scores by prompt, model, topic or customer ID

This feature allows users to segment analytics and compare evaluation scores across various dimensions such as prompts, models, topics, or customer IDs. It provides insights into performance variations and helps in decision-making.

Powerful Monitoring, designed for AI

Athina provides specialized monitoring capabilities tailored for AI applications, capturing LLM traces effectively. This ensures that users can track and analyze the performance of their AI systems accurately.

Trace every step, everytime

The tracing feature captures every step of LLM flows, allowing users to replay and analyze the entire process. This level of detail is crucial for debugging and optimizing AI workflows.

Segmented Analytics

Athina provides segmented analytics to help users understand how model performance changes over time and across different segments. This feature is essential for tracking improvements and identifying areas for enhancement.

Compare datasets side-by-side

Users can compare datasets side-by-side and interact with them using SQL, allowing for in-depth analysis and data manipulation. This feature enhances the ability to derive insights from multiple datasets simultaneously.

Re-generate datasets by changing the model, prompt, or retriever

This feature allows users to easily regenerate datasets by modifying the model, prompt, or retriever settings with just a few clicks. It simplifies the process of dataset creation and experimentation.

Create Datasets

Athina enables users to create datasets with ease, allowing for the inclusion of various attributes and configurations. This feature supports the development of tailored datasets for specific AI applications.

Access controls

Athina provides fine-grained access controls, allowing users to configure permissions for different features and data. This ensures that sensitive information is protected and only accessible to authorized users.

Self-hosted Deployments

Users can deploy Athina entirely within their own Virtual Private Cloud (VPC), ensuring complete data privacy and control over their AI environment. This feature is crucial for organizations with strict data governance requirements.

SOC-2 Type 2 compliant

Athina is compliant with SOC-2 Type 2 standards, ensuring that user data is secure and protected. This compliance is essential for organizations that prioritize data security and regulatory adherence.