Federal technology consulting focused on cloud, cybersecurity, and AI modernization
MetaPhase is a federal-focused systems integrator founded in 2013, serving 20+ agencies with cloud engineering, cybersecurity, data platforms, and AI acceleration. The tech stack—ServiceNow, Azure, AWS, Salesforce, .NET—reflects deep enterprise and government IT maturity. Active hiring skews heavily toward senior engineers (14 of 22 open roles at senior/lead level), while the project and pain-point lists converge on legacy modernization and compliance, suggesting the firm is positioned as a consolidator for agencies struggling with aging on-premises infrastructure and regulatory complexity.
Notable leadership hires: Design Lead
MetaPhase delivers technology solutions to the federal government, operating across six capability areas: Advisory Solutions, Cloud Engineering, Cybersecurity, Data & Analytics, Digital Platforms, and Experience Design. The company supports more than 20 agencies, primarily in national security and federal civilian missions. Core delivery areas include ServiceNow platform implementations, cloud migrations to Azure and AWS, Salesforce case management, and knowledge management operations. The business model centers on modernizing mission-critical legacy systems while ensuring compliance with federal and FBI security requirements. ChallengeAI is a proprietary suite of accelerators for rapid prototyping of emerging technologies within government constraints.
ServiceNow, Azure, AWS, Salesforce, .NET, Java, Python, Terraform, Ansible, Jira, Oracle, and Active Directory. Primary stack: Microsoft enterprise (Visual Studio, Azure DevOps) paired with AWS and Salesforce for mission-specific implementations.
MetaPhase serves more than 20 federal agencies, with a primary focus on national security and federal civilian missions. Services include cloud engineering, cybersecurity, data analytics, and digital platform modernization.
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MetaPhase'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.