Bifrost

Bifrost’s platform is designed to generate high-quality 3D worlds to enhance machine learning performance and overcome real-world data limitations. The platform allows users to prototype and test up to 30 times faster by circumventing costly and time-consuming real-world data collection and annotation. It can generate data to account for rare scenarios that are underrepresented in real data, resulting in more balanced datasets. Bifrost offers pixel-perfect annotations, which are pre-labeled and error-free, reducing the resource-intensive process of manual annotation and labeling. The platform addresses real-world data biases by generating data that solves for these biases, which can inherit from the conditions under which the data was collected. It supports custom 3D objects and can quickly generate new environments, allowing for customizable solutions to meet specific needs. Bifrost’s platform can augment real-world training and testing data to create more diverse and robust datasets. Featuring an intuitive no-code interface, the platform enables users to get started immediately with a simple and intuitive web-based platform. The self-service platform allows users to generate 3D worlds and datasets on-demand, with configurable parameters at all levels, including sensors, environments, and objects. Bifrost supports a diverse range of high-fidelity environments, from forests and oceans to cities and airports, with custom requests supported. The platform includes a large and growing object library, with thousands of different objects available and the ability to upload or generate custom ones. It features a robust suite of sensors and perspectives, with a wide range of sensors (RGB, MWIR, SWIR, LIDAR, SAR, and depth camera) that are easily configured to meet exact hardware specifications. Bifrost’s hybrid sensor model allows users to customize sensor intrinsics while combining neural rendering to capture sensor-level distributions and close the domain gap. The platform offers extensive environmental conditions, with numerous customizable environment parameters and weather conditions to create diverse datasets. Bifrost generates labeled data in popular formats like YOLO and COCO, enabling easy integration with existing platforms and workflows. The platform can generate thousands of square kilometers of realistic real-world 3D environments from a single satellite image on-demand to support simulation and other content needs. Bifrost’s platform has helped numerous teams operate more efficiently, reduce costs, and create more accurate and robust models. Trusted by world-class companies, Bifrost has been used to generate highly photorealistic and noise-free labeled data of complex unstructured environments. The company offers synthetic data and 3D environment solutions for various industries, including space, geospatial, and autonomous cars. Bifrost believes that generative AI and synthetic data will revolutionize the world and aims to empower creators with computer vision tools to unleash tremendous innovation and capabilities.