Athina AI

Athina AI is a collaborative development platform designed for teams to build, test, and monitor AI-powered applications. It provides tools for prompt management, evaluation, dataset management, and observability, helping teams ship reliable AI features faster.

Athina AI is designed for AI teams, including developers, data scientists, product managers, and non-technical stakeholders who want to collaborate on building, testing, and monitoring AI applications.

The key features of Athina AI include Prompt Management for creating, versioning, and collaborating on prompts; Evaluations for running automated assessments in development, CI/CD, or production; Observability to monitor LLM traces, usage metrics, and evaluation scores; Datasets for testing prompts and flows on large datasets, managing experiments, and comparing results; Annotation for labeling and annotating datasets using LLM-powered workflows; Flows for chaining prompts, API calls, retrievals, and code functions to build complex pipelines; Segmented Analytics for comparing performance by prompt, model, topic, or customer ID; Access Controls for fine-grained permissions for team collaboration; Self-Hosted Deployments for deploying Athina in your own cloud environment for complete data privacy; and Custom Models which supports Azure OpenAI, AWS Bedrock, and other custom models.

Athina AI allows teams to iterate on prompts rapidly, test with different models, compare responses, and manage prompts with built-in version control and deployment.

Athina AI supports over 50 preset evaluations (e.g., context sufficiency, response faithfulness, summarization accuracy) and custom evaluations using LLM-as-a-judge or custom Python functions.

Yes, Athina AI supports custom models hosted on platforms like Azure OpenAI, AWS Bedrock, and others.

You can set up logging in just a few minutes. Visit the Athina documentation for integration guides.

Yes, Athina AI is SOC-2 Type 2 compliant and offers fine-grained access controls and self-hosted deployment options for enhanced data privacy.

Inferences are stored in a database on AWS in the EU region. Custom data retention policies and data deletion requests are supported.

Athina AI enables both technical and non-technical users to collaborate on experiments, evaluate datasets, manage prompts, and monitor AI features.

Pricing details can be found on the Athina AI website or by contacting their sales team.

You can reach out to Athina AI via email at hello@athina.ai or use the live chat widget on their website.