Enterprise MLOps platform for accelerating computer vision model development and deployment
Tenyks.ai is a comprehensive MLOps platform purpose-built for computer vision teams to accelerate the entire machine learning lifecycle. From data ingestion and annotation to model training, deployment, and monitoring, Tenyks.ai streamlines workflows that traditionally consume significant time and resources. The platform enables organizations to develop production-ready computer vision models faster while maintaining quality and governance standards. By providing seamless data management, automated training pipelines, and real-time model monitoring capabilities, Tenyks.ai reduces time-to-market for AI-driven solutions. AiDOOS enhances Tenyks deployment through expert integration support, ensuring optimal configuration across enterprise infrastructure, while providing governance frameworks for model versioning and performance tracking. The platform's scalability enables organizations to manage multiple vision projects simultaneously, making it ideal for enterprises requiring robust, auditable ML operations at scale.
Accelerate development of computer vision systems for autonomous vehicles with continuous data ingestion, model iteration, and real-time performance monitoring.
Deploy and maintain vision models for inventory management and product recognition across multiple store locations with centralized monitoring.
Manage computer vision pipelines for diagnostic imaging with strict governance, audit trails, and performance validation for clinical deployment.
Deploy vision-based defect detection systems with continuous monitoring and retraining capabilities for manufacturing environments.
Tenyks pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Unified data ingestion, versioning, and preparation
Streamlined data pipeline reduces preparation time significantlyAutomated experiment tracking and hyperparameter optimization
Faster iteration cycles and optimal model configurationsOne-click model deployment to multiple environments
Reduced deployment risk and faster time-to-productionContinuous performance tracking and anomaly detection
Proactive identification of model degradation and driftComplete audit trail and model lineage tracking
Enterprise compliance and reproducible ML operationsTeam-based workflows and annotation management
Improved team productivity and project coordinationAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native support for TensorFlow model training and deployment
Seamless integration with PyTorch for computer vision model development
Containerized deployment and orchestration for scalable model serving
Deep integration with AWS services for cloud-native ML operations
Native Azure cloud integration for enterprise deployment
Version control integration for code and model artifact tracking
Monitoring and visualization integration for real-time model metrics
Alert notifications and team communication integration
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