Geospatial intelligence platform for U.S. defense and federal missions
RGi delivers geospatial software and analytics to defense and intelligence agencies, with a tech stack spanning Python, Java, ArcGIS, and cloud infrastructure (AWS GovCloud, Azure, Kubernetes). The hiring mix—10 engineers across senior and mid-level roles, anchored by a VP-level engineering lead—reflects execution-focused delivery rather than exploration; pain points cluster around server modernization, classified cloud deployments, and compliance, signaling a maturing org bridging legacy geospatial systems with cloud-native, containerized architectures.
Reinventing Geospatial works with U.S. defense, intelligence, and federal agencies on mission-critical geospatial software. The company spans the full stack: data collection, analytics (including deep learning and computer vision), visualization, and UI/UX. Core deliverables include geospatial intelligence applications, real-time situational awareness tools, and classified cloud microservices. Built on Python, Java, ArcGIS, and modern web frameworks (Angular, React, Vue), the platform integrates across enterprise systems and supports both commercial and government sectors. RGi was founded in 2009 and operates from Fairfax, Virginia with 51–200 employees.
Python, Java, ArcGIS, Angular, React, Vue, Spring Boot, Django, Node.js, PostgreSQL, Oracle Database, AWS GovCloud, Azure, Kubernetes, and Docker. Infrastructure includes AWS and Oracle WebLogic/Tomcat application servers.
Projects include server modernization, OpenStack infrastructure, devsecops pipeline deployments, classified cloud microservices, and new geospatial capabilities from ideation to production. Focus areas: compliance, cybersecurity standards, and enterprise integration.
Reinventing Geospatial (RGi)'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.