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Scrums.com, the Software Engineering Orchestration Platform (SEOP), today announced a partnership with Vercel, the agentic infrastructure company. The partnership will make AI-native deployment infrastructure available to customers directly through the product catalog on the Scrums.com platform. By adding Vercel’s infrastructure to the SEOP, Scrums.com connects these capabilities with the engineering talent, AI agents, tools, and delivery operations already available through the platform, giving businesses a single path from AI application development and prototyping to production deployment.
“Vercel has built one of the defining infrastructure platforms for modern applications and AI agents,” said Gerald Neves, founder and CEO of Scrums.com. “Making Vercel available through the Scrums.com Software Engineering Orchestration Platform gives our customers a direct path from AI ambition to production software.
The partnership combines infrastructure, engineering capacity, agents, and delivery operations through one catalog.” The Vercel partnership will be available through the Scrums.com product catalog and incorporated into customer deployments spanning AI application development, software engineering, application modernization, and infrastructure operations. The combined offering addresses a central challenge facing businesses adopting AI: turning AI experiments into secure, reliable production applications. Customers can access Vercel as part of a broader Scrums.com deployment rather than separately assembling the infrastructure, engineering capabilities, and delivery operations required to launch and scale an AI application.
Led from Scrums.com’s London headquarters and supported by teams in Johannesburg, Cape Town, and Nairobi, the partnership will initially focus on businesses across Europe, Africa, and the Middle East before expanding into other global markets through Forward Deployed Engineers. The partnership will give businesses in these markets greater access to world-class AI infrastructure and the specialized engineering capacity required to deploy it.