Scenario-based AI testing for cross-functional teams
Confidence comes from knowing what “good” looks like. LitmusLab helps developers, QA, product managers, and engineering leaders define AI quality once, verify it continuously, and know when it changes.
Free
Perfect for individual developers and small AI projects.
Build confidence
Understand quality
Scale
Requires your own LLM API key.
Pro
Continuous evaluation for teams shipping AI features.
Inference costs go directly to your LLM platform account — no markup from us.
Everything in Free, plus
Automate quality
Production monitoring
Scale confidently
Requires your own LLM platform account.
Enterprise
Priced for your organization
Security, governance, and deployment options for organizations building AI at scale.
Everything in Pro, plus
Govern
Deploy
Partner
Roadmap
No credit card required to start.
| Free | Pro | Enterprise | |
|---|---|---|---|
| Platform | |||
| Projects | 1 | Unlimited | Unlimited |
| Team members | 2 | Unlimited | Unlimited |
| Test suites | 2 | Unlimited | Unlimited |
| Scenarios | 3 | Unlimited | Unlimited |
| Testing | |||
| All evaluation types | |||
| Contextual evaluation | |||
| Quality trends & results | |||
| Checks per suite | 5 | Unlimited | Unlimited |
| Test cases per suite | 5 | Unlimited | Unlimited |
| Contexts per suite | 1 | Unlimited | Unlimited |
| Reference response comparison | |||
| Automation | |||
| Scheduled evaluations | |||
| GitHub Actions integration | |||
| Collections for scheduled testing | |||
| Production Monitoring | |||
| Production data ingestion | |||
| Detect AI drift | |||
| AI quality dashboard | |||
| Scenario overrides | |||
| Enterprise | |||
| Single sign-on (SSO) | |||
| Role-based access control | |||
| Audit support | |||
| Custom data retention | |||
| On-premises deployment | |||
| MCP Server | |||
| Custom contracts | |||
| Support | |||
| Email support | |||
| Dedicated support | |||
LitmusLab professional services help teams move from “we should probably test AI” to shipping with confidence. We work directly with you to define quality standards, configure LitmusLab around your application, and build a testing practice that scales with your product.
AI Readiness Assessment
Understand how AI fits into your product and identify your biggest quality risks before you build.
Implementation
Configure contexts, scenarios, suites, and quality checks tailored to your AI application.
Team Enablement
Train developers, QA, and product teams to build and maintain AI quality together.
Ongoing Partnership
Review production results, refine evaluation rubrics, and continuously improve quality over time.
We respond within one business day.