AI-native capital program management software for infrastructure owners
Aurigo sells Masterworks, a lifecycle platform linking capital planning, construction and operations for infrastructure and facilities owners. Its stack pairs a .NET/IIS core with AWS Bedrock, OpenAI and LangChain, and it is now adopting CrewAI and AutoGen, a clear move toward multi-agent AI. Senior-heavy hiring in engineering and security, plus FedRAMP and GovRAMP monitoring work, points to an AI build under public-sector compliance pressure.
Notable leadership hires: Product Director
Aurigo Software Technologies, founded in 2003 and headquartered in Austin, Texas, develops capital program management software for owners of infrastructure and facilities. Its flagship platform, Aurigo Masterworks, covers planning, construction and business operations in one environment, with AI-driven forecasting, scenario planning and risk analysis. Customers include public-sector agencies, and the product integrates with agency systems. The privately held company employs 501–1,000 people and has offices in Canada, South Africa and India.
Aurigo runs on AWS and Azure with .NET, Python, Kubernetes (EKS), Terraform, Pulumi, ArgoCD and Helm. Its AI tooling includes OpenAI, AWS Bedrock and LangChain, and Grafana, Prometheus and New Relic handle observability.
Yes. Hiring is accelerating and led by senior engineering roles, with additional openings in product, security and sales. Roles are based in India and the United States, including a Product Director position.
Aurigo is enhancing its Masterworks platform and designing an enterprise AI platform. It is also building adversarial AI testing and a RAG evaluation framework, and running continuous monitoring under FedRAMP and GovRAMP.
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Aurigo Software Technologies'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 →
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