Check, detect, and correct Hallucinations and other quality issues.
Optimize your LLM Apps to produce high-quality, reliable outputs by finding root causes and bridging knowledge gaps.
Hosted or On-premise
AIMon can be deployed on-premise or hosted in the cloud to suit your company's trust policies.
Continuous or Offline Evals
With AIMon's continuous monitoring, you don't need to restrict yourself to evaluating LLMs offline.
Works across model providers
AIMon works seamlessly with any model provider or framework of your choice
Hallucination
Identify sentence and passage-level hallucination scores at GPT-4 level accuracy while incurring 1/4th the latency and a fraction of the cost.
Read moreInstruction Adherence
Check if your LLMs deviate from your instructions and learn why with our Adherence model that provides 87%+ Accuracy.
Read moreContext Issues
Identify context quality issues to troubleshoot and fix root causes of LLM hallucinations using our proprietary technology.
Read moreConciseness
Find out when your LLMs talk too much.
Read moreCompleteness
Check if your LLMs captured all the important information expected.
Read moreToxicity
Detect hate speech, obscenities, discrminatory language, and more.
Read moreSign up
Explore our GitHub and NPM pages for ready-made example apps. Starting to use AIMon takes 15 minutes.
Optimize
Find top problematic LLM Apps, identify quality issues and gain critical insights to optimize effectively.
Joel Ritossa, CTO at Duckie
Sign up and start free.
Getting Started
5M Token Limit!
Scaling
per 1M Tokens
Enterprise
Unlimited Tokens
*Free Trials limited to 5M Tokens.