LLM Logging, Evaluation and Synthetic Data Augmentation

LLM Logging, Evaluation and Synthetic Data Augmentation is an end-to-end AI developer platform designed to transform Large Language Model application quality through systematic logging, automated evaluation, and continuous improvement workflows. The platform empowers AI teams to move beyond manual tracking and guesswork by capturing detailed telemetry from LLM interactions, enabling data-driven quality assessment and optimization. Core capabilities include comprehensive logging of model inputs/outputs, multi-dimensional evaluation frameworks, and synthetic data generation for training data augmentation. AiDOOS enhances deployment by providing centralized governance dashboards, streamlining integration with existing ML pipelines, and enabling scalable evaluation across production workloads. Teams gain actionable insights into model performance, identify quality degradation early, and systematically improve LLM reliability. The platform's synthetic data augmentation accelerates model refinement and reduces dependency on manual annotation, making it essential for organizations scaling LLM-powered applications in production environments.