cloudfactory.com

CloudFactory is a leading provider of human-in-the-loop artificial intelligence solutions, designed to expedite and enhance the development and deployment of AI models for businesses. Established in 2010 and headquartered in Reading, UK, CloudFactory offers a sophisticated AI Data Platform that integrates cutting-edge AI technology, professional services, and a highly skilled workforce to facilitate the entire AI development process. Recently, CloudFactory expanded its capabilities by acquiring Hasty.ai, a data-centric machine learning platform, which has significantly bolstered its AI-assisted labeling and automation features.

The CloudFactory platform is an end-to-end solution for vision AI development, encompassing AI-assisted annotation, automated quality control, model building, and human-in-the-loop workforce support. This comprehensive approach aims to accelerate the AI lifecycle from data labeling to model deployment, all while ensuring robust data security and client ownership. The platform's AI-assisted annotation leverages machine learning to expedite the annotation process, with AI assistants continually improving as more data is processed. Additionally, automated quality control mechanisms, such as AI consensus scoring, automate up to 90% of quality control tasks, streamlining review workflows.

Highlights:

• Acquisition of Hasty.ai to enhance AI-assisted labeling and automation
• Comprehensive AI Data Platform supporting the full AI development lifecycle
• Integration of AI technology, professional services, and a skilled workforce
• Strong focus on data security and client data ownership
• Continuous improvement of AI assistants with more data processing

Key Features:

• AI-Assisted Annotation
• Automated Quality Control
• Model Playground for quick model creation and deployment
• Human-in-the-Loop Workforce
• Data Security and Ownership

Benefits:

• Accelerates the AI development lifecycle
• Combines AI automation with human expertise
• Ensures data security and client control
• Facilitates continuous improvement of AI assistants
• Reduces manual review workload with automated quality control

Use Cases:

• Manufacturing Quality Control
• Agricultural Crop Analysis
• Medical Image Diagnostics
• Autonomous Vehicle Development
• Retail Inventory Management