Project-driven ERP and CRM for government contractors and professional services
Unanet operates a mature ERP/CRM platform for project-driven organizations, with a tech stack anchored in Salesforce, Power BI, and SQL Server. The hiring mix—concentrated in product (3 roles) and data (1)—paired with active projects around demand forecasting, LLM-driven experiences, and data pipelines, suggests the company is moving toward AI-augmented analytics and automation. Pain points around integration performance and data synchronization indicate infrastructure challenges typical of enterprise legacy platforms adding modern analytics layers.
Unanet is a privately held ERP and CRM vendor founded in 1988, headquartered in Dulles, VA, serving over 3,200 project-driven organizations. The company targets government contractors, architecture/engineering/construction (AEC), and professional services firms—verticals where project accounting, resource planning, timesheets, billing, and DCAA compliance are mission-critical. The platform integrates project management, financials, and resource visibility; Unanet differentiates on domain-specific features like project-based revenue recognition and government contractor compliance tooling. The engineering team is actively developing custom integrations, API layers, and reporting solutions for large-scale implementations.
Salesforce, Power BI, AWS, Azure, SQL Server Reporting Services, Java, Python, Tomcat. Also ChurnZero and Gainsight for customer health, and HubSpot for marketing automation.
Demand forecasting, LLM- and agent-driven experiences, AI-first AEC capabilities, custom integrations, API design, data pipelines, and large-scale implementation delivery.
Unanet'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.