Athina

Athina

Athina is a collaborative AI development and observability platform that helps teams build, evaluate, deploy, and monitor LLM-powered features with tools for prompt management, dataset evals, tracing, and production monitoring.

Athina is developer tools software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#54 in Developer Tools (54 tools)
Just launched
23 profile views · 0 vendor visits in 30 days

Quick Overview

Best for: Software & Gaming

What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

Freemium from Free

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Athina

Athina is a collaborative AI development platform for teams to build, test, and monitor AI features. The product surface includes prompt management, dataset creation and evaluation, annotation and human QA workflows, prototyping of chains/flows, and production tracing and logging. Athina targets both technical and non-technical users—providing UI tools for product managers and annotators and SDKs/APIs for engineers—while offering enterprise capabilities like self-hosted deployments, fine-grained access controls, and SOC-2 Type 2 compliance.

Athina is a collaborative AI development and observability platform that helps teams build, evaluate, deploy, and monitor LLM-powered features with tools for prompt management, dataset evals, tracing, and production monitoring.

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Key Features

Prompt Management

Create, version, run and manage prompts with any model (including custom models) via UI or SDK; supports parameterized runs and prompt commits.

Dataset creation & evaluation

Create datasets and run evaluations using 50+ preset evals or custom evals (LLM-as-judge, Python functions, or external APIs).

Tracing & Logging

Capture LLM traces for every step of flows to replay executions; logging can be async to avoid latency impact.

Continuous / Online Evals

Configure online evaluations to run on logs as they come in for continuous visibility into accuracy.

Annotation & Human QA

Workflows for human QA and annotators to verify evaluation results, annotate datasets, and manage inter-annotator agreements.

Prototype & Run Flows

Prototype complex chains and run them programmatically via SDKs and APIs; supports programmatic runs of prompts and flows.

Segmented Analytics & Monitoring

Analytics segmented by prompt, model, topic, or customer ID to compare eval scores and model performance over time and across segments.

Enterprise & Security

Self-hosted deployment in your VPC, fine-grained access controls, and SOC-2 Type 2 compliance for data privacy and governance.

Custom model & provider support

Support for custom models and providers such as Azure OpenAI, AWS Bedrock, Vertex, and others.

Pricing

Free Tier Available

Starter Free plan with 10k logs per month

Starter

Free
  • Get started
  • 10k logs/mo

Pro

Let's talk / Book a demo
  • Advanced analytics
  • Unlimited prompts (as described on site)
  • Compare prompts and models
  • Track cost, latency, and other metrics

Enterprise

Custom pricing (Book a call)
  • Everything in Pro
  • Self-hosted deployment
  • SOC-2 Type 2 certification
  • Advanced access controls

Use Cases

Model development & evaluation

Data scientists and ML engineers can compare datasets, run preset and custom evals, and iterate on prompts and models.

Prompt and flow prototyping

Product and engineering teams can prototype chains and prompts in the UI or programmatically via SDKs before productionizing.

Human-in-the-loop QA & annotation

QA teams and annotators can annotate datasets, validate automated evals, and manage inter-annotator agreements.

Production monitoring & observability

Engineering and SRE teams can trace LLM flows, log inferences, run online evals on live logs, and analyze model performance over time.

Enterprise deployments

Organizations requiring compliance and data control can self-host Athina in their VPC and enforce fine-grained access controls.

Integrations

Azure OpenAI

Use Azure-hosted custom models with Athina for prompts, evals, and flows.

AWS Bedrock

Support for Bedrock-hosted models to run prompts and evaluations.

Vertex

Integrate Vertex-hosted models as custom model providers.

OpenAI, Ragas, Guardrails (eval providers)

Preset evaluation providers (Athina, OpenAI, Ragas, Guardrails) are supported for dataset evaluations.

GraphQL API / SDKs

APIs and SDKs enable programmatic ingestion, logging, prompt runs, and exporting observability data.

Benefits

Speeds up shipping AI features by combining prompt management, evaluation, and observability in one platform
Enables cross-functional collaboration between non-technical users (PMs, annotators) and engineers with SDKs and UI
Provides production-grade tracing and continuous evaluation for reliable monitoring of LLM behavior
Supports enterprise requirements (self-hosting, SOC-2 Type 2, fine-grained access controls) for data privacy and compliance
Integrates with custom models and multiple providers so teams can evaluate and monitor across model choices

Limitations

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Frequently Asked Questions

Does Athina have a self-hosted deployment option?
Yes, Athina can be deployed as a self-hosted image. Contact [email protected] for more information.
Does Athina logging add any latency?
No — Athina logging can be performed as an async fire-and-forget operation, so it won't impact your latency.
Does Athina support custom evaluations?
Yes, Athina enables you to configure custom evaluators using custom LLM evaluations, custom Python functions, or external APIs.
Does Athina work with Azure / Vertex / Bedrock?
Yes, you can use custom models hosted anywhere using Athina (Azure, Vertex, Bedrock, etc.).
How long does Athina take to integrate?
You can get set up with logging in just a few minutes. Visit the logging docs to get started.
What kind of evaluations does Athina support?
Athina supports over 50 preset evaluations from providers like Athina, OpenAI, Ragas, Guardrails, and also supports custom evaluators.

Getting Started

  1. 1 Step 1: Sign up or Get Started for Free on the Athina website
  2. 2 Step 2: Follow the docs to enable logging (eg. https://docs.athina.ai/logging) and set API keys (SDK examples shown on the site)
  3. 3 Step 3: Create a dataset, configure evals (preset or custom), and start running prompts/flows via the UI or SDK
  4. 4 Step 4: Configure tracing and online evals to monitor production logs, or deploy a self-hosted instance for enterprise needs

Support

email

Contact [email protected] for sales, self-hosting, and support inquiries.

docs

Documentation and quickstart guides available (example: https://docs.athina.ai/logging).

demo / sales

Book a demo or contact sales from the website for Pro/Enterprise onboarding and white-glove support.

API

Available: Yes
Documentation:

https://docs.athina.ai/logging (site docs and SDK examples are provided on the product pages)

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