Perimattic AI Observability Services for LLM & GenAI Applications

Perimattic AI Observability Services enable organizations to confidently deploy, monitor, and improve production AI applications on AWS. We build comprehensive observability frameworks for Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and generative AI systems, providing complete visibility into model behavior, quality, performance, and operational costs.

Our engineers implement AI observability pipelines that track prompts, responses, latency, token usage, hallucinations, retrieval quality, model drift, user feedback, and business KPIs. We integrate observability into existing cloud infrastructure so teams can quickly identify issues, optimize AI performance, reduce operational costs, and maintain reliable production AI systems.

Our services include:

• AI Observability Strategy
• LLM Observability
• AI Agent Monitoring
• Prompt & Response Tracing
• RAG Pipeline Monitoring
• Hallucination Detection
• LLM Evaluation Frameworks
• Token Usage & Cost Analytics
• Latency & Performance Monitoring
• Model Quality Evaluation
• User Feedback Analytics
• AI Dashboards & Reporting
• AWS Cloud Integration
• Continuous AI Performance Optimization

Perimattic helps organizations build reliable, scalable, and production-ready AI systems with continuous monitoring, evaluation, and optimization across the complete AI lifecycle on AWS.