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.
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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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Claim this listingKey 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
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
Limitations
Claim this listing to add transparent limitations.
Frequently Asked Questions
Does Athina have a self-hosted deployment option?
Does Athina logging add any latency?
Does Athina support custom evaluations?
Does Athina work with Azure / Vertex / Bedrock?
How long does Athina take to integrate?
What kind of evaluations does Athina support?
Getting Started
- 1 Step 1: Sign up or Get Started for Free on the Athina website
- 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 Step 3: Create a dataset, configure evals (preset or custom), and start running prompts/flows via the UI or SDK
- 4 Step 4: Configure tracing and online evals to monitor production logs, or deploy a self-hosted instance for enterprise needs
Support
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
https://docs.athina.ai/logging (site docs and SDK examples are provided on the product pages)
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