Your full-cycle LLM App accuracy platform
Hallucination Detection and Remediation
100ms Hallucination evaluations that beat the latest LLMs. Helps you check, detect, and correct Hallucinations.
Instruction Adherence, Conciseness, and Completeness
Uphold user experience and safety by ensuring your models don't deviate from given instructions.
From Detections to LLM App improvements
Fix RAG pipeline issues, improve data, and prompts. Optimize your LLM apps for reliable, high-quality outputs
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.
Check out the Docs
Review examples and recipes that help you improve your apps.
Integrate AIMon
Unlock instant or offline insights into your LLM apps with our powerful SDKs and API.
Optimize
Find top problematic LLM Apps, identify quality issues and gain critical insights to optimize effectively.
Joel Ritossa, CTO at Duckie
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Detection
$0.49 / 1M Tokens after. $0 Platform Fee.
Enterprise
Everything in 'Detection' Plan and the following features.
