Tenyks AI

Tenyks AI is an MLOps platform designed to accelerate computer vision model development through a data-centric approach. Rather than endlessly retraining models, the platform helps teams identify and resolve the underlying data quality issues that limit model performance. Using multi-modal search capabilities, teams can efficiently curate datasets, detect annotation errors, identify class imbalances, and surface edge cases that are critical for reliable model behaviour. The platform provides model diagnostics tools that pinpoint which data problems are causing failures in production models, enabling teams to address root causes rather than applying surface-level fixes. It integrates with enterprise cloud storage for flexible deployment, allowing teams to manage large computer vision datasets without moving data between systems. Tenyks AI is particularly suited to teams in agriculture, automotive, energy, healthcare, and logistics sectors where computer vision is essential. By focusing on data quality and efficient curation rather than costly annotation cycles, the platform helps teams reduce labelling expenses, speed up model improvement iterations, and achieve better accuracy with less computational overhead.