Cut our costs for one AI call by over 90%!
The quality evaluation loop transformed how we deploy models & measure improvements. No more guessing.
I honestly didn't realized all the LLM workloads we were running. Now we know what's working and what's not.
Finally, we have AI evals focused on user satisfaction -- not just abstract metrics.
Instant Intelligence
- π Drop into Node.js, Ruby, or Python apps instantly
- π Unified dashboard for all LLM workflows
- π Track models, performance, costs, and quality
- π― Organization-wide visibility and trends
Close the Quality Loop
- π¬ Transform user feedback into automated evaluations
- π§ͺ Test LLM versions against real-world scenarios
- π‘οΈ Prevent regressions before deployment
- π Continuous quality improvement loop
No More Surprise AI Bills
- π¨ Alerts for cost-saving model opportunities
- ποΈ Control token bloat and usage patterns
- π Forecast AI expenses with precision
- π‘ Intelligent cost optimization recommendations
Enterprise-ready
- π₯ HIPAA compliant for healthcare applications
- π¨ββοΈ Healthcare specialists for clinical evaluations
- π Enterprise-grade security and compliance
- βοΈ Ready for any regulated industry
Quick Installation
Get started in seconds with your preferred language
1. Install
2. Enable Auto-Monitoring
3. Create Feedback
Zero refactoring required! Works with OpenAI, Anthropic, and other AI providers automatically.
1. Install
2. Configure Auto-Monitoring
3. Create Feedback
Automatically captures AI API calls across OpenAI, Anthropic, and other Faraday-based libraries.
1. Log LLM Request
2. Create Feedback
Direct REST API access for custom integrations and monitoring scripts.