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Daniel M WagnerCEO | Rezolve Ai<\/p>\nNew York and Seattle \u2014 13 April 2026 \u2014\u00a0Rezolve Ai (NASDAQ: RZLV), a pioneer in commerce-tuned artificial intelligence, today announced the availability of its proprietary brainpowa\u2122 commerce-tuned model suite in Microsoft\u2019s Microsoft Foundry, enabling brands to build and deploy commerce copilots on Microsoft Azure. By joining the ranks of foundational leaders like OpenAI and Anthropic within the Foundry ecosystem, Rezolve Ai is now providing specialized \u201cCommerce Superintelligence\u201d expected to drive the next generation of enterprise growth.<\/p>\n
This launch enables global merchants to move beyond generic chat or LLMs to commerce-specific models in the Foundry ecosystem designed to understand intent, orchestrate actions and drive conversion.<\/p>\n
Built for Commerce<\/p>\n
Unlike general-purpose models, brainpowa\u2122 is purpose-built for commerce to identify buying intent, orchestrate real-time tool calls and present products in a brand-aligned voice.<\/p>\n
The availability of brainpowa\u2122 in Microsoft Foundry allows brands to deploy these high-performance models directly on Microsoft Azure, fully integrated with the enterprise ecosystems of Dynamics 365 and Microsoft 365 Copilot.<\/p>\n
Proven Commercial Impact<\/p>\n
Rezolve Ai models are engineered to move beyond generic conversation to \u201cCommerce Superintelligence\u201d with performance continuously benchmarked against three core commerce pillars:<\/p>\n
Sales-Closing Rate: Optimizing the path from product discovery to final purchase.<\/p>\n
Clarification Quality: Asking precise, timely questions to refine user intent and reduce friction.<\/p>\n
Product Presentation Timing: Ensuring products are surfaced at the moment of highest consumer intent.<\/p>\n
The conversational and agentic era of commerce has arrived.<\/p>\n
AI has learned to converse; now it must learn to convert. brainpowa is trained on real retail interactions to understand intent, ask the right questions and present products in ways that drive measurable commercial outcomes. By joining the elite group of foundational providers in Microsoft Foundry, we are giving brands a faster, more specialized path to deploy commerce copilots on Azure designed to drive real-world business outcomes.<\/p>\n
Daniel M WagnerCEO | Rezolve Ai<\/p>\n
I\u2019m pleased Rezolve\u2019s brainpowa will now be available on Microsoft AI Foundry as part of an expanded agreement. AI Foundry was built to bring specialized models to enterprise customers and Rezolve brings a unique set of models trained specifically for commerce on Foundry. Together we\u2019re giving brands the power to build their own commerce copilots directly on Azure. This shows how Foundry fuels both innovation and measurable business outcomes.<\/p>\n
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Jason GraefeCorporate Vice President, AI Partner Catalyst | Microsoft<\/p>\n
Production-Ready Models for Enterprise Commerce<\/p>\n
Rezolve\u2019s brainpowa\u2122 models are purpose-built for commerce, have been designed to ask the right clarifying questions at the right time and surfacing products in ways that feel personalized and natural without the need for complex prompt engineering. The models are benchmarked through human evaluations to ensure tone, timing, and accuracy align with brand expectations.<\/p>\n
Rezolve Ai measures performance across three core metrics: sales-closing rate, clarification quality and timing of product presentation. Rezolve continues to fine tune and improve its models across these metrics\u00a0while maintaining cost efficiency and enterprise-grade safety standards. This reflects Rezolve\u2019s focus on practical outcomes, that help retailers increase revenue while reducing operational overhead.<\/p>\n
Built on a compact and efficient architecture, brainpowa\u2122 is designed to reduce response latency and improve overall economics of inference cost per interaction, supporting real-time commerce experiences at global scale. All models can be deployed within private Azure Virtual Networks (VNETs) for organizations requiring strict governance, data residency, and compliance. The models integrate with Microsoft Dynamics 365, Microsoft Teams, and Microsoft 365 Copilot experiences, allowing retailers to extend commerce intelligence across customer engagement, sales, and service operations.<\/p>\n
The initial brainpowa suite available through Microsoft Foundry includes three production-ready models for enterprise use:<\/p>\n
brainpowa-general-toolcalling-m-v1 \u2013 tool-augmented conversational AI model for multi-turn e-commerce sales and agentic workflows with strong context retention and real-time tool orchestration.<\/p>\n
brainpowa-general-conversational-l-v1 \u2013 high-performance conversational AI model for multi-turn commerce and customer interaction use cases. Optimized for catalogue enrichment workflows.<\/p>\n
brainpowa-general-conversational-m-v1 \u2013 efficient conversational AI model for real-time commerce, customer support, and multi-turn dialogue applications.<\/p>\n
Each model is trained on curated catalog, policy, and conversational datasets for the retail domain and validated against Rezolve\u2019s commerce-specific Golden Datasets.<\/p>\n
About Rezolve Ai<\/p>\n
Rezolve Ai is a global leader in retail and commerce artificial intelligence. Its proprietary brainpowa\u2122 models deliver safe, scalable conversational intelligence that increases sales, engagement, and customer loyalty. Headquartered in London with operations across North America, Europe, and Asia, Rezolve Ai partners with leading brands and retailers to power the future of commerce through AI that sells. Learn more at rezolve.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"New York and Seattle \u2014 13 April 2026 \u2014\u00a0Rezolve Ai (NASDAQ: RZLV), a pioneer in commerce-tuned artificial intelligence,…\n","protected":false},"author":2,"featured_media":529475,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":{"0":"post-529474","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-technology","12":"tag-uk","13":"tag-united-kingdom","14":"tag-unitedkingdom"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/529474","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=529474"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/529474\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/529475"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=529474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=529474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=529474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}