Athina AI is a collaborative platform designed to assist teams in developing, testing, and monitoring AI features app. It offers tools for prompt management, dataset evaluation, and prototype development, supporting various models, including custom ones.
Athina facilitates both technical and non-technical users in experimenting with data, building AI applications, and ensuring reliable AI deployments
Athina AI offers a comprehensive suite of features app to facilitate the development, testing, and monitoring of AI applications:
- Prompt Management: Create, test, and deploy prompts across various models, including custom ones, with built-in version control.
- Dataset Evaluation: Utilize over 50 preset evaluation metrics or configure custom evaluations to assess datasets, ensuring model outputs meet desired quality standards.
- Experimentation Tools: Compare models, prompts, and datasets side-by-side to identify optimal configurations, facilitating rapid prototyping and testing.
- Annotation Capabilities: Enable teams to verify evaluation results and annotate datasets, enhancing data quality and model performance.
- Flow Prototyping: Design and execute complex AI workflows programmatically, integrating prompts, API calls, retrievals, and code functions.
- Observability and Monitoring: Gain complete visibility into AI model traces, usage metrics, and evaluation scores, with real-time monitoring of costs, latency, and performance.
- Access Controls and Security: Configure fine-grained permissions, deploy self-hosted solutions for data privacy, and ensure compliance with SOC-2 Type 2 standards.
- Integration Support: Seamlessly integrate with tools like LangChain, LlamaIndex, Ragas, Guardrails, Azure OpenAI, and AWS Bedrock, accommodating various AI development workflows.
These features app collectively empower teams to build, test, and monitor AI applications efficiently, ensuring high-quality and reliable AI deployments.
