Proactive monitoring and control for reliable, high-ROI AI applications
WhyLabs is an AI application monitoring and observability platform designed to ensure predictive and generative AI models operate reliably in production. The platform provides real-time monitoring, anomaly detection, and proactive alerting for AI systems, enabling organizations to detect performance degradation, data drift, and model behavior anomalies before they impact end users. WhyLabs empowers data science and ML engineering teams to maintain model health, ensure consistent ROI, and reduce operational risk. The platform integrates seamlessly with modern ML workflows, offering comprehensive dashboards, automated monitoring profiles, and actionable insights. AiDOOS enhances WhyLabs deployment by enabling organizations to scale monitoring across multiple models and environments, optimize resource allocation through AI-driven governance, and accelerate time-to-value through managed integration services and best-practice implementations.
Banks and fintech companies monitor credit risk, fraud detection, and pricing models to ensure regulatory compliance and prevent losses. WhyLabs detects model drift that could lead to incorrect lending decisions or fraud false positives.
Retail organizations track recommendation engine performance to maintain conversion rates and customer satisfaction. WhyLabs identifies when personalization algorithms degrade, impacting revenue.
Healthcare providers monitor diagnostic AI models to ensure patient safety and clinical accuracy. WhyLabs alerts when model behavior changes could affect medical decision-making.
Organizations deploying language models monitor output quality, bias, and semantic drift. WhyLabs detects when generated content degrades or exhibits unintended behavior patterns.
Industrial companies monitor predictive maintenance models to prevent equipment failures and production downtime. WhyLabs ensures early warning systems remain accurate and reliable.
WhyLabs pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Continuous performance tracking with instant anomaly detection
Detect issues within minutes instead of days or weeksAutomatically identify shifts in input data distributions
Prevent model degradation before impacting production qualityUnified visibility into all AI model metrics and health indicators
Enable data teams to monitor dozens of models simultaneouslyIntelligent baseline establishment and anomaly threshold configuration
Reduce setup time from weeks to hours with AI-driven profilingNative support for popular frameworks and deployment platforms
Seamless integration with existing ML workflows and toolsContext-rich notifications with root cause insights
Enable teams to respond to issues 3x faster with precise guidanceAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Monitor batch prediction jobs and data pipelines at scale with seamless Spark integration
Native Python SDK enables direct monitoring instrumentation in notebooks and development environments
Deploy WhyLabs monitoring alongside containerized ML workloads for cloud-native observability
Monitor models deployed on SageMaker with native integration and simplified configuration
Track ML models and pipelines built on Databricks with integrated observability
Monitor models versioned and deployed through MLflow for end-to-end model lifecycle observability
Receive critical model alerts and notifications directly in Slack for rapid team response
Correlate AI monitoring metrics with infrastructure observability in Datadog dashboards
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
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.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists