Vice President of Pricing

Cloudinary launches ai-powered moderation to strengthen brand visual governance at scale. Cloudinary has launched Cloudinary Moderation, a new AI-driven solution that aims to assist brands in reviewing and enforcing visual content standards prior to deployment. This comes as a solution to a growing need for enterprises that handle a lot of visual content from partners, vendors, and users, all while maintaining a consistent visual brand identity. This is particularly a challenge for marketing and operation teams, given the proliferation of digital platforms. As digital platforms continue to grow, marketing and operation teams are increasingly being challenged with the need to scale visual content without sacrificing quality. However, traditional visual review processes are often laborious, and generic moderation tools don't address the need for a custom solution that meets the needs of a particular brand. Cloudinary Moderation is a solution that aims to address this need for a custom solution that meets the needs of a particular brand. This solution utilizes AI, which has been trained on a particular brand's standards, to review visual content in real-time. It has the capability to automatically approve, flag, or reject visual content based on a set of criteria that has been defined, such as logo accuracy, color consistency, image quality, and regulatory compliance. "As a marketplace, maintaining high-quality and consistent product images is critical for customer trust and conversion," said Rivly CEO Daniel Thompson. "With Cloudinary Moderation, we will be able to automatically review seller-submitted images, understand any issues, and immediately guide sellers toward optimal images." "Brands shouldn't have to choose between speed and brand control," said Keren Sela, GM for Moderation at Cloudinary. "Cloudinary Moderation lets them move fast while maintaining standards-automatically reviewing partner and user content against their specific guidelines." One of the main differentiators for Cloudinary Moderation is the ability for the system to adapt to the unique look and feel of a brand. This is a key differentiator from other moderation tools on the market, as Cloudinary Moderation is specifically designed to work according to the rules and regulations established by a company. This means the system can more accurately enforce the rules. Finally, the system is designed to offer explanations for content that may have been rejected by the system. This creates a sense of transparency for the user. In addition to this, the system is designed to offer a human element for moderation. This means the system is flexible and can adapt to the needs of the user. Cloudinary Moderation is part of a bigger system referred to as Cloudinary. This implies that a business or company is able to use the system to optimize their processes. This is especially important for businesses or brands that operate in the retail industry, consumer products, travel, and hospitality. The launch of this system is a further indication that Cloudinary is dedicated to helping businesses succeed through a system that is capable of meeting the requirements of the modern digital world while maintaining brand integrity.

Cloudinary has launched Cloudinary Moderation, an AI-powered tool that automatically reviews images against brand guidelines to approve, flag or reject content before publication. The solution targets companies managing high volumes of partner, vendor or user-generated content. Whilst 85% of brands maintain visual guidelines, only 25% can enforce them consistently when working with third-party content at scale. Cloudinary Moderation addresses this by training AI on each brand's unique guidelines, automatically detecting issues like incorrect logos, off-brand colours or poor image quality. The tool provides clear explanations for flagged content, maintains audit trails and allows human override when needed. It integrates with Cloudinary's existing platform, enabling brands to review and adjust visuals within the same workflow. The solution is now generally available.