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.

Who is Athina AI for?

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.

What are the key features of Athina AI?

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.

How does Athina AI help with prompt management?

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.

What types of evaluations does Athina AI support?

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.

Can Athina AI be used with custom models?

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

How long does it take to integrate Athina AI?

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

Is Athina AI secure and compliant?

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

Where is data stored?

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

How does Athina AI support team collaboration?

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

What is the pricing for Athina AI?

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

How can I get support for Athina AI?

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

Does Athina AI offer a free trial?

Yes, Athina AI offers a free trial. You can get started for free on their website.

What is LLM-as-a-judge evaluation?

LLM-as-a-judge evaluation uses large language models to perform complex and nuanced evaluation tasks, providing human-like reasoning for assessing AI outputs.

Can I use Athina AI for monitoring AI applications in production?

Yes, Athina AI provides continuous evaluation and monitoring of AI applications in production, with real-time visibility into accuracy and performance.

How does Athina AI handle data privacy?

Athina AI ensures full data privacy with fine-grained access controls, self-hosted deployment options, and compliance with SOC-2 Type 2 standards.

Athina AI

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Athina helps teams build, test, and monitor AI features collaboratively. It offers tools to manage AI prompts, evaluate performance, and observe AI in action. This speeds up creating and launching reliable AI applications.

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Overview Features Use Cases FAQ Integrations Pricing

About Athina AI

Who It's For

This tool is for AI teams, including data scientists, product managers, QA staff, and engineers. Both technical and non-technical people can use it to work together on AI projects. It helps anyone involved in building and improving AI applications.

What You Get

You get tools to manage AI prompts, run over 50 types of evaluations, and monitor your AI's performance live. It also handles datasets, supports custom AI models, and offers secure access controls and self-hosted deployment options.

How It Works

Athina helps you create and test AI prompts with different models. You can easily evaluate AI responses using built-in tests or custom checks. The platform tracks your AI's operations, offering continuous monitoring to ensure accuracy once it's running live.

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Features & Capabilities

🧪 AI Development & Experimentation

Prompt Management

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

AI Experimentation

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

AI Flow Prototyping

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

Data Evaluation

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

📈 Production Monitoring & Analytics

LLM Production Monitoring

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

AI Flow Tracing

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

Continuous Online Evaluation

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

Segmented AI Analytics

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

🤝 Collaboration & Customization

Team Collaboration

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

Programmatic API Access

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

Human-in-the-Loop QA

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

Custom Model Support

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

🔒 Security & Deployment

Self-Hosted Deployment

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

Fine-Grained Access Controls

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

SOC-2 Type 2 Compliance

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

Complete Data Privacy

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

Use Cases

Accelerating AI Feature Development & Experimentation

AI teams often face slow development cycles when iterating on prompts and complex AI flows. Athina provides a collaborative platform for managing, testing, and prototyping prompts and AI chains with version control and easy model switching, enabling faster experimentation and deployment of new AI features.

AI/ML DevelopmentFor: AI Engineers

Continuous Quality Assurance for AI Models

Maintaining high quality and reliability for AI models, both in development and production, is a major challenge. Athina offers a suite of 50+ preset and custom evaluations, along with tools for human annotation and inter-annotator agreement, to ensure rigorous testing and continuous improvement of AI model outputs.

Enterprise AIFor: QA Team

Comprehensive Observability for Production AI Systems

Understanding how AI applications perform in real-world production environments is critical but complex. Athina provides powerful monitoring, LLM tracing, continuous online evaluations, and segmented analytics to give teams complete visibility into model performance, latency, cost, and accuracy over time and across different user segments.

AI/ML Operations (MLOps)For: Data Scientists

Secure and Collaborative Enterprise AI Development

Enterprises require robust security, data privacy, and seamless collaboration when building AI solutions. Athina offers self-hosted deployment options, fine-grained access controls, and SOC-2 Type 2 compliance, allowing diverse technical and non-technical teams to securely build and manage AI applications in a controlled environment.

Enterprise AIFor: Go-to-Market Leaders

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