Cloud modernization and AI/ML engineering for federal and enterprise clients
Harmonia (operating as Revolutional) is a systems integrator built around cloud-native transformation, data science, and cybersecurity for large organizations. The tech stack reveals a mature Java + Oracle backend with modern polyglot layers (Python, Node.js, React/Angular, Kafka) — suggesting they're actively migrating legacy monoliths to cloud. Active hiring across data (4 roles), engineering (4), and security (1) with a skew toward lead and senior positions points to scaling delivery capacity on large transformation programs, not early-stage product development.
Harmonia Holdings Group operates under the Revolutional brand as a technology services firm for federal and enterprise customers. The company specializes in cloud-native ecosystem transformation, legacy application modernization, AI/ML strategy, and cybersecurity programs. Their project pipeline includes federal grants management modernization, DevSecOps implementation, and MLOps infrastructure — indicating focus on mission-critical workloads and complex, high-stakes modernization initiatives. Founded in 2006 and headquartered in McLean, VA, the firm maintains a 201–500 person team across the United States.
Oracle, PostgreSQL, Java, Spring Boot, AWS, Kubernetes, Docker, Python, Node.js, React, Angular, Kafka, Jenkins, GitLab, and Splunk. Reflects a hybrid backend-forward architecture with cloud-native and analytics capabilities.
Active projects include cloud-native ecosystem transformation, legacy application modernization, federal grants system modernization, DevSecOps implementation, enterprise AI/ML strategy, MLOps infrastructure, and cybersecurity transformation programs.
Other companies in the same industry, closest in size
Harmonia Holdings Group, LLC'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.