Athina

Elevate LLM reliability: monitor, evaluate, deploy with unmatched precision.. [Contact for Pricing]

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What is Athina?

Athina is a collaborative AI development platform built for teams that need to build, test, evaluate, and monitor LLM-powered applications. Its core product combines an IDE-like experience with production observability, so users can prototype workflows, inspect outputs, and track real-world performance in one place. It is positioned as a tool for making AI apps more reliable and shipping them faster.

The platform emphasizes spreadsheet-like data manipulation for AI workflows. Users can filter, sort, annotate, tag, edit, and compare datasets, while also running dynamic columns that can execute prompts, code, API calls, and data transformations. It also supports flows, experiments, and side-by-side dataset comparison, which makes it useful for prompt iteration and pipeline testing.

Athina also focuses on evaluation and monitoring at scale. It offers preset and custom evaluations, online evals on logged production inferences, model comparison, cost and latency tracking, and analytics around LLM behavior. The website highlights integrations with tools such as LangChain, LlamaIndex, Ragas, Guardrails, Azure OpenAI, and AWS Bedrock.

It is aimed at both technical and non-technical AI teams, including developers, product teams, and operators who need visibility into LLM quality in production. The site also points to usage by teams at larger AI-driven companies and offers a self-serve workflow with docs, SDKs, and a collaborative UI.

Athina pricing

Pricing model: Freemium

Athina offers a Free plan at $0/month with 10k logs per month, 1 team seat, advanced analytics, unlimited prompts, prompt/model comparison, and cost and latency tracking. The site also mentions a 14-day free trial of the Pro plan, after which users are downgraded to Free unless they upgrade. Paid tiers include Starter, Pro, and Enterprise, but the public pricing page only shows detailed included features for Free, Pro, and Enterprise-style capabilities while the exact paid prices are shown as custom. Pro includes everything in Starter plus 5 team seats, 1M logs per month, unlimited evals, unlimited datasets, unlimited team seats, whiteglove support, and a GraphQL API. Enterprise includes everything in Pro plus custom team seats, self-hosted deployment, role-based access controls, support for custom models, and additional enterprise features. The billing cycle is monthly, overages are charged if plan limits are exceeded, and payments are processed through Stripe by major credit card.

Athina pros

  • Collaborative IDE for AI teams
  • Covers build, test, and monitor workflows
  • Spreadsheet-like dataset editing
  • Filter, sort, annotate, and tag data
  • Dynamic columns for prompts and code
  • Run API calls inside workflows
  • Supports data transformations
  • Run flows across full datasets
  • Preset evaluation metrics available
  • Custom evaluations supported
  • Compare prompts and models
  • Track costs and latency
  • Online evals on production logs
  • Integrates with LangChain
  • Integrates with LlamaIndex
  • Integrates with Ragas
  • Supports Azure OpenAI and AWS Bedrock
  • Free tier available
  • Python SDK and CLI available
  • Self-serve onboarding

Athina cons

  • Focused mainly on LLM apps
  • Pricing beyond free is custom
  • Free plan has 10k logs limit
  • Free plan has only 1 team seat
  • Enterprise features are gated
  • Self-hosted deployment only on Enterprise
  • RBAC only on Enterprise
  • Custom model support only on Enterprise
  • Overage charges can apply
  • Collaboration may require paid seats
  • Best fit assumes LLM-centric workflows
  • Some advanced features need setup
  • Production monitoring requires logged inference data
  • Primarily oriented toward teams, not solo hobbyists
  • Website does not show transparent public pricing for paid tiers

Frequently asked questions about Athina

What is Athina used for?

Athina is used to build, test, evaluate, and monitor LLM-powered applications. It combines a collaborative IDE for experimentation with production observability so teams can inspect prompts, datasets, flows, and logged model outputs in one environment.

Does Athina support production monitoring?

Yes. Athina is designed to monitor production inferences, run evals automatically on logged outputs, and provide visibility into costs, latency, and model behavior. The documentation describes it as a production monitoring and evaluation platform for LLMs.

Can I use Athina to compare prompts and models?

Yes. The free plan includes unlimited prompts and the ability to compare prompts and models, and the platform generally supports side-by-side comparison of outputs so teams can tune prompts and select better models.

What kinds of evaluations does Athina support?

Athina supports preset evaluation metrics, custom evaluations, and online evals on production logs. It also mentions compatibility with Ragas metrics and the ability to run evals automatically against logged inferences.

Is Athina only for engineers?

No. The site presents Athina as useful for both technical and non-technical users. Its spreadsheet-like interface and collaborative workflow are meant to make prototyping, testing, and dataset manipulation accessible beyond just developers.

What integrations does Athina offer?

Athina works with tools such as LangChain, LlamaIndex, Ragas, Guardrails, Azure OpenAI, and AWS Bedrock. It also offers a Python SDK and CLI for programmatic evaluation and integration into development workflows.

What is included in the free plan?

The free plan includes 10k logs per month, 1 team seat, advanced analytics, unlimited prompts, prompt and model comparison, and tracking for costs and latency. It is intended as a way to start monitoring and evaluating LLM outputs at no cost.

Does Athina offer a trial?

Yes. Athina offers a 14-day free trial of the Pro plan. During the trial, users are not charged, and after the trial ends they are downgraded to the Free plan unless they upgrade.

Can Athina be self-hosted?

Yes, but self-hosted deployment is listed under Enterprise. That suggests self-hosting is available for larger organizations that need more control over deployment and infrastructure.

How does Athina handle pricing overages?

Athina uses monthly billing and charges overages if plan limits are exceeded. The pricing page gives examples such as extra log usage billed per additional 10k logs and extra team seats billed per additional seat.

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