Athina AI
What is Athina AI?
Athina AI is an AI workflow platform for AI product teams that handles prompt development, evaluation, and production monitoring. Its Prompt, Evaluate, Experiment, Annotate, Monitoring, Tracing, Online evals, and Flows tools let teams version prompts, compare models, review outputs, and build multi-step pipelines. It works with custom models and is used by Perplexity, Meesho, Siena, Sybill, Vet, Dox, and PW. Starter is free.
Last verifiedHow we evaluate
At a glance
- Athina AI is best for AI product teams who need to test, monitor, and ship prompts and flows faster.
- Starter Free
What does Athina AI do?
Athina handles the full loop of prompt development, evaluation, and production monitoring so teams can move from idea to shipped AI workflows faster. Its Prompt, Evaluate, Experiment, Annotate, and Prototype tools let users manage prompts, test datasets, compare models, and verify results in one place, while Flows turns multi-step ideas into runnable AI pipelines. The platform is built for both technical and non-technical collaborators, so engineers can run work programmatically while others stay in the UI. At scale, Athina supports 50+ preset evaluations and lets teams track cost, latency, and other metrics across logs and datasets. It works with custom models, offers GraphQL API access on higher tiers, and can be self-hosted for enterprise deployments. Customers shown on the site include Perplexity, Meesho, Siena, Sybill, Vet, Dox, and PW.
Why use Athina AI?
- It combines prompt management, evaluation, annotation, and monitoring in one workflow, reducing handoffs between tools.
- Flows lets teams turn multi-step ideas into AI pipelines without rebuilding the surrounding development process.
- Support for custom models means teams are not locked into a single model provider.
- Self-hosted deployment and advanced access controls give enterprise teams more control over where systems run and who can use them.
- The platform includes 50+ preset evaluations, which helps teams start testing quickly instead of assembling every check from scratch.
Who is Athina AI for?
- AI engineers who need to run prompts, flows, and evaluations programmatically.
- Product managers who want no-code tools for building complex AI flows.
- Data scientists who compare datasets side-by-side and analyze results with SQL.
- QA teams who verify evaluation results and annotate datasets with human judgment.
- Platform teams that need self-hosted deployment and tighter access controls.
What are Athina AI's key features?
Prompt
Create and version prompts for production AI apps, with unlimited prompts and comparison tools to test prompt and model changes before release.
Evaluate
Run over 50 preset evaluations to score outputs against your criteria, helping teams catch regressions before they reach users.
Experiment
Test prompt and model variants side by side, using compare workflows to choose the best-performing setup for a given task.
Annotate
Review and label model outputs in the product, then feed those annotations into evaluation and analytics workflows for better iteration.
Monitoring
Track production AI behavior with 10k logs per month and advanced analytics, so teams can spot issues and measure quality over time.
Tracing
Inspect end-to-end request traces to see how prompts, models, and outputs connect, which helps debug failures faster in production.
Online evals
Evaluate live traffic with preset checks and custom criteria, giving teams a way to monitor quality as users interact with the app.
Access controls
Control who can view prompts, logs, and evaluations, which matters for teams handling sensitive AI workflows and shared production systems.
What does Athina AI integrate with?
- OpenAI
- Azure OpenAl
- AWS Bedrock
- Ragas
- Guardrails
- Google Sheets
- Cal.com
What are Athina AI's use cases?
AI engineers ship prompts
AI engineers use Athina AI to run prompts and flows programmatically, using Prompt and Flows to test changes before release. They can pair that with Evaluate to catch regressions early and ship to prod with fewer broken outputs.
PMs prototype AI workflows
Product managers use Athina AI to build complex AI flows without code, using Prototype and Flows to turn an idea into a working workflow. They then use Compare to review options and choose the version that best fits the product.
QA teams review evals
QA teams use Athina AI to verify evaluation results and annotate datasets with human judgment, relying on Annotate and Evaluate to spot weak responses. They can also use Online evals to keep checks aligned with real usage.
Platform teams lock down deployments
Platform teams use Athina AI to support self-hosted rollout and tighter governance, using Self-hosted Deployments and Access controls to keep sensitive work inside approved environments. They can still Use custom models while maintaining internal control.
How does Athina AI work?
- Connect your first model or data source in Prompt, then define the task you want to test. Use Flows to chain steps together when the workflow needs multiple AI actions.
- Run Evaluate on prompts, datasets, or model outputs to score quality against preset criteria. Compare results side by side to see which prompt or model performs best.
- Use Experiment to try variations safely, then inspect Analytics and Tracing to understand where outputs change and why. Add Online evals when you want checks to run against live traffic.
- Invite reviewers into Annotate so QA and field experts can add human judgment to datasets. Tighten Access controls as the team grows, and keep sensitive work on Self-hosted Deployments if needed.
How much does Athina AI cost?
Starter
Free- 10k logs/mo
- Analytics
- Unlimited prompts
- Compare prompts and models
Frequently asked questions
What is Athina AI?
Athina AI is an AI workflow platform for AI product teams that handles prompt development, evaluation, and production monitoring. Its Prompt, Evaluate, Experiment, Annotate, Monitoring, and Flows tools let teams version prompts, compare models, review outputs, and build multi-step pipelines. It works with custom models and is used by Perplexity, Meesho, and Sybill. Starter is free.
How much does Athina AI cost? Is it free?
Athina AI is free to use.
What is Athina AI used for? Who is it for?
Athina AI is used for Prompt, Evaluate, and Experiment. It's built for AI engineers, Product managers, and Data scientists.
Does Athina AI have an API and what does it integrate with?
Athina AI doesn't publish a public API. It integrates with OpenAI, Azure OpenAl, AWS Bedrock, Ragas, Guardrails, and 2 more.
Editor's read
Starter includes 10k logs per month. Teams that expect production traffic above that ceiling should verify whether the free tier is only for evaluation and how quickly monitoring needs will push them into a paid plan.
Explore other Agent Tools & Integrations
