RedBrick AI

V7 Darwin is a powerful AI-driven platform for labeling and training data that streamlines the process of annotating images, videos, and other data types. By using AI-assisted tools, V7 Darwin enables faster, more accurate labeling for a variety of use cases such as machine learning model training, object detection, and medical imaging. The platform supports multiple types of annotations, including keypoints, bounding boxes, and segmentation masks. It integrates with various workflows through APIs, SDKs, and custom integrations, making it an ideal solution for businesses seeking high-quality data for their AI projects.

Our AI technology enables healthcare providers to perform high-quality ultrasound exams wherever and whenever patients need them, regardless of their familiarity with ultrasound. Ultrasound is a safe, highly effective diagnostic tool, but it can be difficult to master, takes years of specialized training to learn, and image quality can vary. Performing the exam involves unnatural hand-eye coordination and unintuitive visuals. Traditional ultrasound software doesn’t provide instruction on how to move the ultrasound transducer to capture an image, or any real-time feedback on the quality of images being captured. Poor quality images lead to missed opportunities, misdiagnosis, repeat studies, and inconsistent interpretation. As a result, the true value and benefits of ultrasound have not been fully realized. Now, with our technology, any healthcare professional can capture diagnostic-quality ultrasound images thanks to AI guiding them through every step of the scanning process.