Scale

Scale provides a set of advanced AI infrastructure tools designed to help organizations quickly leverage artificial intelligence in their operations. Its core offerings center around integrating organizational data for use in AI models, enabling users to develop, evaluate, and fine-tune machine learning applications for industry-specific needs. Through its generative AI platform, Scale enables enterprises to build tailored AI applications, improving both the efficiency and uniqueness of their technology stacks.

A notable part of Scale's service is its combination of automated data processing and high-quality human review, particularly for data labeling. This hybrid method helps deliver reliable data sets essential for training robust AI models. Businesses that require customized solutions can use Scale's model evaluation and alignment labs to ensure their AI systems are delivering intended results and meet safety and compliance standards.

Scale works in collaboration with leading AI developers and supports organizations where data quality and security are paramount. It addresses the challenges of initializing and managing large-scale AI projects, catering to clients who are seeking to achieve long-term differentiation through AI.

Scale is designed for technical leaders such as CTOs, heads of data, and product managers within large enterprises, public sector agencies, and generative AI startups. Its primary audience includes organizations that manage significant volumes of data and require rigorous infrastructure to label, process, and deploy this data into machine learning pipelines.

Companies in sectors like automotive, government, SaaS platforms, and advanced AI research will benefit from its ability to handle complex data and AI safety requirements. Teams focused on building proprietary AI applications or improving the safety and accuracy of large language models can use Scale to streamline model development and evaluation processes. Educational institutions and non-profits exploring impactful AI use cases can also apply its tools to conduct advanced experiments and assessments without maintaining their own data infrastructure.

For anyone responsible for building, scaling, or governing AI solutions in complex environments, Scale addresses the need for reliable, high-quality data workflows and accelerates the path from raw data to effective AI models.