Scale has launched Scale Nucleus to facilitate the development of effective, accurate, and unbiased Machine Learning (ML) models.
Nucleus offers advanced tools for data visualization, curation, active learning, and collaboration to improve ML model performance.
It integrates directly with Scale AI's data labeling pipeline to allow data scientists and ML engineers to manage and rectify data efficiently.
The platform supports Image data and will soon include 3D Sensor Fusion, Video, Text, and Document data capabilities.
Scale Nucleus is aimed at providing deeper dataset insight, simplifying the ML development process, and enhancing the speed of post-deployment model iterations.

Scale specializes in data annotation, curation, and collection specifically tailored for AI applications, including autonomous vehicles and defense. Their offerings span from generative AI to reinforcement learning (RLHF), creating custom large language models (LLMs) to adapt AI initiatives to specific enterprise data. Collaborating with leading AI models from OpenAI, Google PaLM, and others, Scale facilitates the integration of enterprise data with these AI technologies. They deliver a full-stack generative AI platform, powering applications for federal, defense, and commercial sectors, emphasizing quality, safety, and strategic differentiation in AI deployment and management.

Scale

Data annotation, AI model training, generative platform, enterprise integration.

Introducing Scale Nucleus for Enhanced ML Model Development

Recent Product News