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LLM Logging, Evaluation and Synthetic Data Augmentation
End-to-end platform to log, evaluate, and optimize LLM application quality
About 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.
Challenges It Solves
- Unable to track and understand LLM application behavior in production
- Manual evaluation processes create bottlenecks and inconsistent quality metrics
- Lack of synthetic training data limits model improvement and fine-tuning capabilities
- Difficulty identifying performance regressions and quality issues in real-time
- Teams lack actionable insights to continuously optimize LLM responses
Use Cases
Production LLM Monitoring
Monitor deployed LLM applications in real-time to detect quality degradation, ensure consistent output quality, and maintain reliability across user interactions.
Model Fine-tuning and Training
Leverage synthetic data augmentation to create high-quality training datasets and continuously improve model performance without extensive manual annotation.
Quality Assurance for LLM Features
Evaluate LLM outputs against business requirements and user expectations using automated evaluation frameworks to ensure consistent quality.
Compliance and Governance
Maintain audit trails and compliance documentation for LLM applications in regulated industries with comprehensive logging and evaluation records.
Pricing
Pricing available on request
LLM Logging, Evaluation and Synthetic Data Augmentation pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Capture every LLM interaction and decision point
Complete visibility into model behavior across productionMulti-dimensional quality assessment without manual intervention
Consistent, repeatable evaluation metrics at scaleCreate augmented training datasets for model improvement
Faster iteration and reduced dependency on manual annotationMonitor LLM performance metrics and trends
Early detection of quality issues and performance regressionsData-driven recommendations for model optimization
Systematic improvement of LLM application qualityReviews
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Enterprise Readiness
Integrations
6 total appsDirect integration with OpenAI models for logging and evaluating GPT-based applications
Native support for Claude LLM logging and evaluation workflows
Integration with Hugging Face models and datasets for evaluation and synthetic data generation
Seamless logging and monitoring of LangChain-based LLM applications
Export evaluation results and logs to Snowflake, BigQuery, and other data warehouses
Integration with MLflow and Weights & Biases for experiment tracking
AiDOOS Managed Deployment
Deploy LLM Logging, Evaluation and Synthetic Data Augmentation in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for LLM Logging, Evaluation and Synthetic Data Augmentation
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers LLM Logging, Evaluation and Synthetic Data Augmentation
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists