{"id":87706,"date":"2026-06-27T02:28:28","date_gmt":"2026-06-27T02:28:28","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/87706\/"},"modified":"2026-06-27T02:28:28","modified_gmt":"2026-06-27T02:28:28","slug":"mad-engine-uses-vertesia-to-bring-agentic-ai-into-creative-operations","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/87706\/","title":{"rendered":"Mad Engine Uses Vertesia to Bring Agentic AI Into Creative Operations"},"content":{"rendered":"

Vertesia,<\/a> developer of a leading agentic AI software platform, today announced that Mad Engine, a global leader in licensed apparel and accessories, is using the Vertesia platform to bring agentic AI into their creative operations for some of the world\u2019s most recognizable brands.<\/p>\n

Vertesia now serves as a centralized hub powering Mad Engine\u2019s enterprise AI strategy. For a digital asset development company handling a massive volume of licensed intellectual property (IP), the platform provides the critical content preparation, asset intelligence, governance, and control required to deploy AI safely and at scale. Vertesia\u2019s model-agnostic infrastructure allows Mad Engine to use the right AI models and tools for each workflow while helping to ensure proprietary data remains protected within its own tenant.<\/p>\n

\u201cMad Engine\u2019s creative operations depend on speed, accuracy, and quality. And the deep understanding of the licensors\u2019 requirements. AI is supporting their process, in particular around asset quality,\u201d said Stefan Born, Sr. Director of AI Solutions at Vertesia. \u201cWith Vertesia, they are putting creatives in the director\u2019s seat by leveraging agentic AI to orchestrate the highly manual and time-intensive aspects of creative work. Reducing friction points and improving previously manual quality control. By strategically integrating automation across the entire asset lifecycle, they have transformed how art is created and utilized. This empowers their teams to design faster, seamlessly navigate complex brand compliance, and reuse approved assets to get designs to sales teams more rapidly.\u201d<\/p>\n

Also Read:\u00a0AiThority Interview with Matej Bukovinski, Chief Technology Officer at Nutrient<\/a><\/p>\n

Working with Vertesia, Mad Engine identified high-impact workflows where AI could deliver measurable value quickly, then sequenced those initiatives so each phase would build on the last. That phased approach has allowed Mad Engine to improve creative operations step by step \u2013 automating manual tasks and accelerating organization-specific processes. Not only did Mad Engine speed up asset ingestion, but they also increased the depth of asset tagging. This enriched metadata now fuels critical downstream workflows, improving sales analysis and empowering the team to leverage existing assets to generate new art much faster.<\/p>\n

\u201cWe did not want to chase AI use cases one at a time and hope they added up to something bigger,\u201d said Gary Gaffney, EVP of Technology and Systems at Mad Engine. \u201cWith Vertesia, we started with high-value creative workflows like asset ingestion, metadata enrichment and search, then built from there. It\u2019s like building a skyscraper one floor at a time: each phase delivers value on its own, but it also strengthens the foundation for everything that comes next.\u201d<\/p>\n

Today,\u00a0Mad Engine is operating as an agentic organization\u00a0\u2013 using AI to accelerate how creative work moves through the business, not just isolated tasks. Processes that once relied on manual, multi-person effort, such as individually tagging assets and searching for previously approved art, can now be completed much faster. Teams can search for assets using natural language or utilize Vertesia\u2019s reverse image search functionality to submit a hand-drawn sketch and quickly find visually similar assets within the library. This ensures brand compliance and avoids duplicating past work. These gains support compliance, reduce duplicate work, increase creative output with existing resources, and ultimately help Mad Engine accelerate speed to market.<\/p>\n

Also Read:\u00a0\u200b\u200b<\/a>AI systems \u2013 Interoperable AI systems: Connecting models across platforms<\/a><\/p>\n

[To share your insights with us, please write to\u00a0psen@itechseries.com]<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Vertesia, developer of a leading agentic AI software platform, today announced that Mad Engine, a global leader in…\n","protected":false},"author":2,"featured_media":87707,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,3160,6158,3741,46618],"class_list":["post-87706","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-ai-software-platform","tag-ai-solutions","tag-ai-strategy","tag-vertesia"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/87706","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=87706"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/87706\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/87707"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=87706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=87706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=87706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}