Athina AI

Manages, tests, and runs prompts with any model, including custom ones.

Enables rapid regeneration of datasets by changing models, prompts, or retrievers in a few clicks.

Allows users to prototype and programmatically run complex AI chains and workflows, including no-code options.

Offers evaluation of datasets using over 50 preset evaluations or user-configured custom evals.

Provides powerful monitoring capabilities specifically designed for AI, capturing LLM traces in production.

Captures and allows replaying every step of LLM flows for detailed debugging and understanding.

Enables continuous evaluation of logs as they are generated, providing real-time visibility into AI accuracy.

Offers segmented analytics to understand model performance changes over time and across different criteria like prompt, model, or topic.

Enables seamless collaboration between technical and non-technical users on AI development tasks.

Provides comprehensive API access for engineers to programmatically manage prompts, flows, and evaluations.

Integrates human quality assurance teams to work alongside automated AI evaluations, capturing nuanced feedback.

Seamlessly integrates with custom models and various providers such as Azure OpenAI, AWS Bedrock, and more.

Supports deploying the platform entirely within your own Virtual Private Cloud (VPC) for enhanced control.

Allows configuration of detailed permissions to control user access to different features and data.

Adheres to SOC-2 Type 2 standards, ensuring robust data security and protection practices.

Ensures full data privacy through architectural design, access controls, and flexible deployment options.