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Athina AI is a collaborative platform for building, testing and monitoring LLM features. It combines evaluation, prompt management and production monitoring in one workspace for AI teams.
Teams log LLM calls, build datasets and run evaluators against them in a spreadsheet-style interface, then compare prompts or models. In production, eval scores are monitored and segmented. Human reviewers can annotate datasets and verify automated results.
AI and engineering teams shipping LLM features that need systematic quality checks. Enterprise options reportedly include access controls and self-hosted deployment.
Athina has a free tier and custom pricing for paid plans. Contact the vendor for a quote.
HoneyHive is another evaluation and observability platform for LLM apps. Evidently AI started with ML monitoring and open-source data drift tools. Maxim AI offers evaluation and simulation for AI agents.
Pricing Model
Subscription
Starting Price
Contact vendor
Free Options
Free version, Free trial
Athina AI for individuals and growing teams. See athina.ai for current pricing.
Athina AI for larger organizations with security and admin needs. Contact sales for a quote.
| Feature | Free | Pro Popular | Enterprise |
|---|---|---|---|
| Eval IDE | , | ||
| Limited monthly usage | , | , | |
| Community support | , | , | |
| Dataset management | , | , | |
| Higher usage limits | , | , | |
| Integrations | , | , | |
| Email support | , | , | |
| Everything in Pro | , | , | |
| Monitoring | , | , | |
| Prompt experiments | , | , | |
| SSO and admin controls | , | , | |
| Dedicated support | , | , |
Other
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API Types
SDK Availability
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Agent observability, evaluation and monitoring for AI applications
Simulation-based testing for voice and text AI agents
Open-source framework to evaluate and monitor LLM and ML systems
Quick comparisons