Athina AI

Introduction to Athina AI

Athina AI is a collaborative development platform designed to streamline the creation, testing, and monitoring of AI applications. It empowers teams to rapidly prototype, evaluate, and deploy large language models (LLMs) with enhanced reliability and speed. Whether you’re a data scientist, product manager, or engineer, Athina provides a unified environment that supports both technical and non-technical users in building production-grade AI solutions.

Key Features

• Collaborative IDE: Athina’s integrated development environment (IDE) offers a spreadsheet-like interface, enabling teams to prototype, experiment, and evaluate AI applications efficiently. Users can manipulate datasets, run evaluations, and visualize results collaboratively.
• Flows: Build complex AI workflows by chaining prompts, API calls, code functions, and more. Flows allow for the creation of reusable pipelines that can be easily shared and integrated into applications.
• Evaluation Suite: Access over 50 preset evaluation metrics or configure custom evaluations to assess model performance. Athina supports both online and offline evaluations, allowing for continuous monitoring and quality assurance.
• Observability: Gain full visibility into LLM traces, usage metrics, and evaluation scores. Athina’s observability tools help teams track performance over time and across different segments, ensuring models meet desired standards.
• Data Annotation: Annotate and label datasets using LLM-powered workflows. Manage annotation teams and ensure high-quality data preparation for model training.
• Custom Model Support: Integrate custom models and providers like Azure OpenAI, AWS Bedrock, and more. Athina ensures compatibility with various model architectures and deployment environments.
• Security and Compliance: Athina is SOC-2 Type 2 certified, ensuring that your data is secure and protected. The platform offers fine-grained access controls and can be deployed entirely within your own cloud environment for complete data privacy.

How to Use Athina AI

Getting started with Athina is straightforward:

1. Sign Up: Create an account on the Athina platform to access the IDE and other tools.
2. Create a Dataset: Import data from logs, files, or generate synthetic datasets to begin experimentation.
3. Develop Prompts: Design and test prompts using the IDE’s collaborative editor, iterating on different models and configurations.
4. Build Flows: Chain prompts, API calls, and code functions to create complex AI workflows tailored to your use case.
5. Run Evaluations: Assess model performance using preset or custom evaluation metrics, monitoring results in real-time.
6. Deploy Models: Integrate and deploy models into production environments, ensuring seamless operation and monitoring.

Pricing

Athina offers flexible pricing plans to accommodate teams of various sizes:

• Starter (Free): Includes 10,000 logs per month, advanced analytics, unlimited prompts, and the ability to compare prompts and models.
• Pro: Offers everything in Starter plus unlimited logs, evaluations, datasets, team seats, white-glove support, and a GraphQL API.
• Enterprise: Custom pricing tailored to organizational needs, including self-hosted deployment, SOC-2 Type 2 certification, advanced access controls, and support for custom models.

Frequently Asked Questions (FAQ)

• Does Athina support self-hosted deployments?
  Athina can be deployed as a self-hosted image, allowing organizations to maintain full control over their data and infrastructure.
• How does Athina handle evaluation costs?
  Athina provides configurable settings to manage evaluation costs, including setting maximum evaluations per month, sampling rates, and model selection for evaluations.
• Can I use custom models with Athina?
  Yes, Athina supports the integration of custom models and providers, enabling teams to utilize their preferred model architectures and services.
• What kind of evaluations does Athina support?
  Athina offers over 50 preset evaluation metrics and allows for the configuration of custom evaluations using LLM-as-a-judge, custom Python functions, or external APIs.
• How long does it take to integrate Athina?
  Integration with Athina can be completed in just a few minutes, with setup guides and documentation available to assist users.