Introducing lytix
The evaluations layer for your LLMOps stack
Constant monitoring of what’s working and what’s not. No matter how specific or subjective.
system12:42:01
You are a medical response evaluator. Assess responses for accuracy and empathy.
user12:42:05
Evaluate this response for medical accuracy and bedside manner...
assistant12:42:08
Beginning evaluation process... Analyzing response patterns and medical terminology.
model: gpt-4temperature: 0.7domain: medical
Real-time Score
92.0%
Score Trend (24h)
-Infinity%Infinity%
Medical Accuracy
92%
Empathy Score
88%
Evaluation Layer
Why do I need an evaluation layer?
Ensure quality and reliability in your AI systems with comprehensive evaluation
Custom evaluations give you more coverage than off the shelf models
Evaluate specific and subjective qualities of your workflows
Regular Updates
Get peace of mind via regular updates, that your system is being actively monitored
Your Journey
We'll meet you where you are - whether you're just getting started or already live.
Here's how thinking about evals can help you at any point in your LLMOps journey.
Still evaluating if LLMs are right for us
How evaluations fit into your LLMOps strategy
Learn more→
Currently experimenting and prototyping
Prototype -> Production: an evaluation-driven approach to building reliable systems
Learn more→
Already live with some monitoring in place
How to get more from your observability tools via evaluations
Learn more→
