Kili Technology features a highly intuitive and user-friendly interface with a gentle learning curve, making onboarding fast and efficient. Users consistently report better document/image visibility, clearer workflow indicators, and more convenient shortcuts that streamline the annotation process. In contrast, CVAT's interface, while functional and customizable, can be complex and overwhelming for new users, with a steeper learning curve and navigation that many find dense with multiple sidebars and panels.

Kili Technology provides built-in review and Q&A features with real-time collaboration capabilities, including integrated question and answering, activity feeds, and in-task commenting. The platform offers automated notifications when tasks are completed and annotator-based filters to efficiently manage team workflows. CVAT, while supporting simultaneous annotation, lacks real-time communication tools, task completion notifications, and annotator-based filtering, making workflow management less efficient for large or distributed teams.

Kili Technology is optimized for speed and efficiency with large datasets, utilizing advanced tools like tile-based processing for high-resolution files. Users experience stable, predictable performance even with multi-gigabyte datasets. CVAT users frequently report performance problems when handling large datasets or complex tasks, with slow processing times and risks of data loss during server outages or platform disruptions, as unsaved progress cannot always be recovered.

Kili Technology includes comprehensive automated quality assurance tools, including validation rules, inter-annotator agreement metrics, statistical outlier detection, and advanced quality dashboards. These features automatically enforce annotation standards and help identify potential errors. CVAT requires all quality assurance to be performed manually, with no automated validation or checking of annotations, significantly increasing the time and effort required for quality control in large-scale projects.

Kili Technology supports a broader range of file types, including native support for images, PDFs, videos, and geospatial files (.geotiff). It offers advanced annotation capabilities like interactive segmentation augmented with foundation models, nested ontologies, and relationship annotations. CVAT supports standard annotation types (bounding boxes, polygons, etc.) but lacks native PDF support and geospatial file compatibility, requiring users to convert files before annotation, which adds extra steps to workflows.

Kili Technology provides robust AI integration with foundation model support (including SAM for segmentation), custom model integration, and active learning capabilities that optimize annotation effort. The platform enables model-based pre-annotations and AI-driven auto-segmentation that significantly reduce manual work. CVAT offers some automation via plugins and scripts but has no built-in active learning or automated quality checks, relying more heavily on manual processes.

Kili Technology provides enterprise-grade security with ISO27001 and SOC2 certification, HIPAA and GDPR compliance, and flexible deployment options (cloud, on-premise, or hybrid). It offers SSO integration, robust user management, and seamless integration with cloud storage providers. CVAT has documented security vulnerabilities requiring regular updates, limited documentation for developers, and requires considerable maintenance to avoid exposing users to bugs, incompatibilities, and security risks.