softwareScale Nucleus software provides a centralized, scalable control center for managing machine learning data. It facilitates the updating of missing or erroneous labels. While the initial setup may be complex for beginners, it empowers your ML team to build better datasets and enhance model performance.
Natural Language Dialogue
Smart Data Discovery
Self-Service Dashboards
Text to Speech & Speech to Text
Scale Nucleus is a comprehensive dataset management platform designed to help ML teams build better datasets. It centralizes data, labels, and model predictions, enabling users to debug models and improve data quality. Features like error identification and data curation ensure efficient and effective model training. Scale Nucleus is an essential tool for any ML project and is the ideal choice for top business enterprises and the government sector.
Scale Nucleus price is divided into four different tiers:
Disclaimer: These prices are subject to change.
Scale Nucleus is designed for machine learning professionals who need to manage and organize extensive datasets. It is widely used in enterprises, defense, federal, and public sectors, with customers like US Army, US Air Force, Microsoft, and General Motors successfully using it.
Scale Nucleus software is the right choice if your primary focus is on data management, visualization, collaboration, and automation. It helps you make your ML workflows frictionless, improving model accuracy with seamless integrations and additional features. Furthermore, it is used by the US Army, US Air Force, General Motors, and Microsoft, so you can feel comfortable with your choice.
Deciding whether Scale Nucleus best matches your business? Contact our customer support team at (661) 384-7070 for further guidance.
This feature annotates objects in images, which is necessary for training computer vision models. It recognizes various elements in visual data and classifies them to provide object detection, image segmentation, and other applications.
See How It WorksThis process is performed by annotating objects and actions in the video frames. It is a crucial component in applications that analyze videos, surveillance, and autonomous driving, where continuous understanding and tracking motion are vital.
See How It WorksIt helps convert documents to text and makes processing and analyzing large volumes of data in text much easier. It becomes helpful in achieving several common natural language processing tasks, data extraction, and digitizing handwritten or printed documents.
See How It WorksThis important feature is required to prepare the model accurately for autonomous driving, robotics, and geospatial analysis. It helps visualize and detect objects in three dimensions.
See How It WorksThis feature helps organize data in pre-defined categories and enhances data management, retrieval, and analysis. It is a critical attribute in structuring large amounts of data in an orderly way to locate and utilize captured data easily.
See How It WorksPros
Cons
Overall Rating
1 Review(s)
Rating Distribution
5
4
(1)
3
2
1
Share your experience
Overall Rating
1 Review(s)
Rating Distribution
5
4
(1)
3
2
1
Share your experience