Athina

Что такое Athina?

Athina is a collaborative AI development platform for building, testing, and monitoring AI features. The homepage positions it as a way for teams to ship AI to production faster by combining prompt management, evaluation, annotation, prototyping, and monitoring in one product.

The platform is built for both technical and non-technical users. Engineers can work programmatically through code and APIs, while product, QA, and other team members can review results, annotate datasets, and participate in experiment workflows through the UI.

Что умеет Athina?

Prompt management

Create, test, and manage prompts with any model, including custom models, from the same workspace.

Dataset evaluation

Run dataset evaluations using 50+ preset evals or configure custom evals for your own criteria.

Dataset regeneration

Change the model, prompt, or retriever to regenerate datasets in a few clicks.

Human annotation

Let team members verify evaluation results and annotate datasets with a human review step.

Chain prototyping and execution

Prototype chains and run them programmatically for engineering workflows.

Production monitoring and analytics

Capture LLM traces, run online evaluations on live logs, and review segmented analytics across prompts, models, topics, or customer IDs.

Варианты использования

“End-to-end AI development”

Teams building AI products can manage prompts, run evaluations, annotate results, and monitor live behavior without switching between separate tools.

“Prompt and chain prototyping”

Engineers can prototype prompt chains, run them programmatically, and keep versioned prompt workflows in sync with application code.

“Dataset review and human QA”

Data science and QA teams can compare datasets side by side, verify evaluation outputs, and add human review where automated evals miss nuance.

“Operational monitoring”

Production teams can capture LLM traces, run online evaluations on incoming logs, and compare performance by prompt, model, topic, or customer ID.

“Custom model workflows”

Organizations using custom models or external providers can keep evaluation and monitoring workflows centered in Athina while working with their existing model stack.

Часто задаваемые вопросы

What is Athina used for?

Athina is designed for teams building AI applications that need prompt management, evaluation, annotation, logging, and monitoring in one place. The homepage shows it being used for experimentation, production tracing, and online evals.

Who can use the platform?

The homepage says Athina works with or without your code. Engineers can run prompts, flows, and evaluations programmatically, while non-technical users can use the UI.

What workflows does Athina support?

Athina supports managing and testing prompts with any model, evaluating datasets with preset or custom evals, regenerating datasets, prototyping chains, and monitoring production AI traces.

Does Athina list pricing on the website?

The pricing page was not available in the provided sources, so pricing and plan structure could not be confirmed from the material reviewed.