Ensure AI systems are reliable, resilient, and production-ready with enterprise-grade quality assurance.
Kolena is an enterprise quality platform designed to ensure AI systems meet rigorous standards for reliability, resilience, and regulatory compliance. The platform embeds quality assurance across the entire AI lifecycle—from data collection and model engineering through rigorous testing to seamless production deployment. Kolena enables organizations to systematically validate AI performance across diverse real-world scenarios, identify failure modes, and ensure models consistently meet business objectives and regulatory requirements. Through comprehensive test case management, automated validation workflows, and detailed performance reporting, Kolena reduces deployment risk and accelerates time-to-production. AiDOOS enhances Kolena's value by enabling seamless integration with existing ML pipelines, providing scalable infrastructure for large-scale testing operations, and delivering expert governance frameworks that ensure compliance with evolving AI regulations and industry standards.
Validate diagnostic and treatment recommendation models against diverse patient populations, ensuring fairness, accuracy, and regulatory compliance for clinical deployment.
Test credit scoring and fraud detection models across economic scenarios and demographic groups to ensure fairness, regulatory compliance, and production reliability.
Comprehensively test autonomous vehicle and robotics models across edge cases, environmental conditions, and failure scenarios to ensure safety-critical reliability.
Validate object detection and image classification models across diverse lighting, angles, and object conditions to ensure production performance.
Kolena pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Systematically organize and execute test cases across AI models
95% test coverage across critical model behaviors and edge casesContinuous validation across diverse data scenarios and conditions
Detect performance degradation before production deploymentMaintain audit trails and compliance documentation automatically
Streamlined regulatory approvals and compliance auditsDeep insights into model behavior across population segments
Identify bias and fairness issues with quantified metricsSystematic identification and documentation of model failure modes
Reduce deployment risk with confidence scoringSeamless integration with CI/CD and production pipelines
Automated quality gates prevent non-compliant models reaching productionAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Track and manage ML experiments with integrated quality metrics and test results
Deploy validated models directly to containerized production environments
Integrate quality gates into CI/CD pipelines for automated model validation
Monitor model performance and quality metrics in production
Seamless integration with AWS ML workflows and model registries
Orchestrate data pipelines and quality validation workflows
Version control integration for test cases and validation configurations
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