Scale Data Engine vs. Kern

The Scale Data Engine equips machine learning teams with the necessary tools to effectively enhance their datasets. By unifying your data, verifying it against ground truth, and integrating model predictions, you can effectively tackle issues related to model performance and data quality. You can make the most of your labeling budget by identifying class imbalances, errors, and edge cases within your dataset through the Scale Data Engine. This platform has the potential to significantly boost model performance by pinpointing and addressing areas of failure. Implementing active learning and edge case mining allows for the efficient discovery and labeling of high-value data. By fostering collaboration among machine learning engineers, labelers, and data operations within a single platform, you can assemble the most impactful datasets. Furthermore, the platform offers straightforward visualization and exploration of your data, facilitating the rapid identification of edge cases that need attention. You have the ability to closely track your models' performance to ensure that you are consistently deploying the optimal version. The comprehensive overlays within our robust interface provide an all-encompassing view of your data, including metadata and aggregate statistics for deeper analysis. Additionally, Scale Data Engine supports the visualization of diverse formats such as images, videos, and lidar scenes, all enriched with pertinent labels, predictions, and metadata for a detailed comprehension of your datasets. This functionality not only streamlines your workflow but also makes Scale Data Engine an essential asset for any data-driven initiative. Ultimately, its capabilities foster a more efficient approach to managing and enhancing data quality across projects.

Kern stands out where other approaches fall short, empowering data-centric applications in numerous sectors and industries. Our offerings can be seamlessly deployed in-house, whether utilizing public or private cloud environments, or on local servers. Central to Kern is the groundbreaking Weak Supervision technique, which enables the automatic incorporation of noisy data heuristics, resulting in an impressive labeling speed that is 100 times quicker. As we enrich your datasets with essential metadata, this information can be efficiently prioritized and segmented, leading to considerable time savings and enhanced quality. Additionally, Kern is built to engage subject matter experts throughout the AI development lifecycle, promoting collaboration to tackle real-world challenges effectively. We prioritize security above all else, providing Kern across various platforms to ensure strong data protection, whether in the cloud or on-site. Our labeling solution is adaptable and works with any JSON structure, allowing us to manage a wide array of formats, including CSV files, text documents, images, and time series data. By accommodating these varied formats, we guarantee that our clients can fully leverage their data's potential across multiple applications, ultimately driving better insights and outcomes. This flexibility not only enhances the data's utility but also supports greater innovation in the solutions we provide.