Athina

Athina is an end-to-end, collaborative AI development platform engineered to accelerate the entire lifecycle of Large Language Model (LLM) applications. It empowers teams to build, test, and monitor AI features with unprecedented speed and reliability, aiming to shorten the path from prototype to production by a factor of ten. The platform is designed as a unified workspace where data scientists, product managers, QA teams, and engineers can collaborate effectively, ensuring that AI systems are not only powerful but also safe and dependable.

How to use Athina

Using Athina involves a structured workflow that covers the entire AI development process:

1. Prototype & Experiment: Begin by using the experimentation suite to manage, test, and version prompts. You can run experiments with any model, including custom ones like Azure OpenAI and AWS Bedrock. The 'Flows' feature allows you to quickly turn ideas into complex AI pipelines without extensive coding.
2. Evaluate & Annotate: Create high-quality evaluation datasets to test your models. The platform facilitates collaborative annotation, allowing you to curate datasets with inter-annotator agreement checks. You can compare datasets side-by-side and interact with them using SQL for deep analysis.
3. Integrate & Deploy: Seamlessly integrate Athina's logging and monitoring SDK into your applications. The integration is designed to be smooth and compatible with existing observability stacks, with minimal latency impact.
4. Monitor & Trace: Once in production, gain complete visibility into your AI's performance. Athina offers monitoring specifically designed for AI, capturing detailed LLM traces, running online evaluations, and providing analytics on cost, latency, and user feedback.
5. Collaborate & Secure: Manage your team with fine-grained access controls. For maximum data privacy, Athina offers a self-hosted deployment option within your own VPC, and the platform is SOC-2 Type 2 compliant.

Core Features of Athina

• Prompt Management & Experimentation: A central hub to manage, version, and test prompts across various LLM providers and custom models.
• LLM Evaluation Framework: Build custom evaluations ('evals') or use pre-built ones to rigorously assess model performance, quality, and safety against your datasets.
• Collaborative Annotation: Streamlines the process of dataset curation and annotation, saving significant time compared to manual methods like Google Sheets.
• Production Monitoring & Observability: Features LLM-native tracing, logging, real-time analytics, and online evaluations to monitor cost, latency, and performance in production.
• AI Flows: A powerful tool to visually build, test, and deploy complex AI pipelines and agentic workflows in minutes.
• Enterprise-Grade Security: Ensures data privacy with SOC-2 Type 2 compliance, self-hosting options in your own cloud, and fine-grained access controls.
• Model Agnostic: Provides flexibility by supporting a wide range of models and providers, including Azure OpenAI, AWS Bedrock, and custom-hosted models.

Use Cases for Athina

Athina is trusted by world-class AI teams for various applications:

• Customer Support AI Agents: Teams like Richpanel use Athina to build and evaluate reliable AI agents for customer support, ensuring high-quality interactions.
• Search & Recommendation Systems: Companies like You.com leverage Athina to streamline annotation and create higher-quality evaluation datasets, improving their core search product.
• Legal Tech Automation: Firms such as CourtCorrect use the platform for its flexible experimentation suite and robust observability to develop and monitor legal AI applications.
• EdTech Platforms: PhysicsWallah utilizes Athina for strong observability and seamless prototyping of LLM features in their educational products.

Advantages of Athina

Athina offers a distinct competitive edge for teams building with AI:

• Accelerated Development: Drastically reduces the time to ship AI features to production.
• Enhanced Collaboration: Creates a unified environment that bridges the gap between technical and non-technical stakeholders.
• Improved Reliability & Safety: Ensures the development of safe and dependable AI systems through comprehensive testing and monitoring.
• Unified & Comprehensive Toolset: Covers the entire LLM lifecycle, from initial idea and prototyping to production monitoring and iteration.
• Data Privacy & Control: Offers enterprise-level security with self-hosting options and SOC-2 compliance, giving you full control over your data.

Pricing and Plans

Athina offers flexible pricing to suit teams of all sizes:

• Starter: Free. Includes 10,000 logs/month, advanced analytics, unlimited prompts, and the ability to compare prompts and models. Ideal for individuals and small teams getting started.
• Pro: Contact for a demo. Includes everything in the Starter plan plus unlimited logs, evaluations, datasets, and team seats. It also provides white-glove support and GraphQL API access.
• Enterprise: Custom pricing. Includes all Pro features plus self-hosted deployment, SOC-2 Type 2 certification, advanced access controls, and dedicated support for custom models.