Scale is a sophisticated technical partner that provides artificial intelligence and machine learning solutions for critical U.S. government platforms, sensor systems, and data types. We set the commercial standard, lead the market, and apply those capabilities to our federal work.
Scale empowers government agencies to leverage AI and ML in their most important workflows. Analysts and operators are aided in their mission objectives through process automation, enhanced decision support, and insight generation.
Scale’s technology enables teams to manage their entire ML lifecycle from dataset management, data selection, data annotation, to model development - all in one place. With the Scale Nucleus Data Management Platform, teams can understand, visualize, curate, and collaborate on their data – allowing engineers to build better models via a powerful interface and APIs.
Scale is committed to partnering with the U.S. government and technology leaders to modernize the future of federal across agencies, ensuring U.S. investments in AI lead to successful deployments of new technologies.
Scale partners with the largest technology companies in the world on their most ambitious AI initiatives.
Scale is trusted by the largest U.S. government agency to support their data and analytics needs.
Scale is the market leader in the autonomous vehicles industry, providing data for safety critical applications.
Scale annotates billions of data points and takes models from pilot to deployment in weeks, not years.
Scale’s automated quality checks and operational excellence delivers 99.5%+ accuracy across data pipelines.
Scale provides a modular, end-to-end platform tailored to your needs and AI expertise.
Original ISR image (pre-annotation): VHR-10 Dataset Coco (c) 2019 chaozhong2010
Data Managment image: VHR-10 Dataset Coco (c) 2019 chaozhong2010 in Scale Nucleus interface
Original SAR image (pre-annotation): The SpaceNet Dataset by SpaceNet Partners is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Changes were made to the image by adding annotation.