AI-enabled defense acquisition software and data platform for the US military
Govini builds Ark, a decision platform helping US defense acquisition teams replace manual workflows with AI-driven analysis. Its stack pairs knowledge-graph tooling (Neo4j, SPARQL, Protégé) with Spark and a multi-cloud footprint across AWS, GCP and Azure, while FedRAMP adoption and job posts on multi-agent systems and agent evaluation point to a push to scale agentic AI across government. Hiring is accelerating and senior-weighted, led by engineering with a substantial sales build-out.
Notable leadership hires: Engagement Director
Govini is a privately held software company founded in 2011 and headquartered in Arlington, Virginia, with an additional office in Pittsburgh, Pennsylvania. Its flagship product, Ark, serves defense acquisition functions including supply chain, science and technology, production, sustainment, logistics and modernization. Customers are national security organizations and military departments in the United States. The company employs 201–500 people and hires exclusively in the United States across engineering, sales, data, product, marketing and design.
Govini uses Python, Java, Spring Boot, Quarkus, TypeScript and React, with PostgreSQL, Neo4j, SPARQL and Apache Spark for data, running on Kubernetes across AWS, GCP and Azure, with GitLab and Jenkins for CI/CD.
Govini is building multi-agent systems, agent skills and tools, automated evaluation of agents and prompts, and LLM/GenAI models, alongside implementations of its Ark platform for defense acquisition teams.
Govini is headquartered in Arlington, Virginia, and also has an office in Pittsburgh, Pennsylvania. It hires in the United States.
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Govini'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.