AIMon delivers robust data foundations, accelerating your AI journey with the speed, safety, and reliability the enterprise demands.
We recently moved from a popular OSS framework to AIMon for its accuracy and latency benefits.
The productivity gains provided by LLMs are only as valuable as the trust in the LLMs’ output. Reliability tools like AIMon are key to enabling that business value. That is critical to professionals in fields like security compliance where programs are looking to drive adoption of these tools and use them as force multipliers.
AIMon provided us with comprehensive visibility into our entire LLM-RAG stack, clearly highlighting accuracy issues that we hadn't previously identified. Its robust evaluation models enabled us to pinpoint exactly where improvements were needed, significantly enhancing the quality and reliability of our RAG and LLM outputs.
AIMon's Hallucination and Adherence models have become essential components of our technology stack. They enable us to identify issues with our LLM outputs and fine-tune our models for optimal performance.
Monitor your internally-built apps and your AI vendors too
AIMon can monitor your internal RAG, LLM, Agentic apps AND your AI vendors too.
Seamlessly observe production and development workflows
With AIMon's continuous monitoring, you don't need to restrict yourself to evaluating offline. You can get live insights that help you optimize your apps.
Deploy AIMon hosted or on-premise
AIMon can be deployed on-premise or hosted in the cloud to suit your company's trust policies.
Arxiv Publication - HalluciNot, Hallucination Detection Through Context and Common Knowledge Verification
How AIMon's Benchmark-leading "Checker Models" outshine LLMs for evaluation and monitoring.
How to improve RAG Relevance by over 100% and overall output quality by 30% in your RAG and LLM Apps with AIMon.
How to build Accuracy Flywheels for your LLM/RAG Apps. And a demo of how to detect Hallucinations with AIMon.
