AI platform and Microsoft cloud services for public-sector organizations
Cloudforce builds nebulaONE, an AI platform designed for government agencies and public-sector entities. The tech stack is heavily Azure-native (Azure AI, Entra ID, Resource Manager, Monitor) paired with ServiceNow and Power BI, reflecting deep enterprise integration work. Active projects span GenAI application support, ServiceNow automation, and Azure AI deployment to customer environments—indicating a shift toward operationalizing AI capabilities at scale. The hiring mix (engineering, sales, product, ops all active) and unresolved critical incidents suggest Cloudforce is scaling to meet demand while stabilizing platform reliability.
Cloudforce is a 51–200-person cloud and AI consulting firm headquartered in National Harbor, Maryland. Founded in 2010, the company positions itself as a Microsoft cloud specialist, delivering infrastructure, security, compliance, and AI solutions to public-sector organizations. nebulaONE is their proprietary AI platform. The business model combines strategic consulting, managed cloud services, and product deployment—selling to government agencies and their technology teams. Active challenges include datacenter migration, critical incident resolution, and scaling sales and marketing motions.
Cloudforce runs on Microsoft Azure (AI, Entra ID, Resource Manager, Monitor), ServiceNow, Power BI, Python, React, Jest, and PowerShell. The stack reflects heavy enterprise cloud and automation focus.
Active projects include GenAI application support for nebulaONE, ServiceNow automation, Azure AI deployment to customer environments, critical incident remediation, and go-to-market for new platform features.
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Cloudforce's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.