AI-powered asset management for heavy industry operations
Prometheus Group operates a 25-year-old enterprise asset management platform serving manufacturing and heavy industry, now shifting toward AI-driven optimization. The tech stack reveals a mature, distributed deployment model: .NET/C# backend with React/Angular frontends, SQL Server + PostgreSQL databases, Kubernetes orchestration, and AWS infrastructure. The organization is actively adopting Prometheus APM for performance monitoring and building ML models on top of it—a signal that they're moving from reactive asset tracking toward predictive maintenance and anomaly detection.
Prometheus Group builds enterprise asset management and ERP integration software for operations-heavy industries including manufacturing, mining, and energy. Their platform unifies planning, scheduling, work management, and business analytics across routine maintenance, preventive maintenance, shutdowns, and production scheduling. The company operates at 1,001–5,000 employees across the US, Australia, and India. Active projects center on customer implementations, ML model development, and process automation, with ongoing challenges around supporting legacy applications, achieving adoption with complex field teams, and scaling customer success operations.
Backend: .NET, C#, ASP.NET Core, Entity Framework. Frontend: React, React Native, Angular, Redux. Data: SQL Server, MySQL, PostgreSQL. Infrastructure: Kubernetes, Argo CD, AWS, Ansible Tower. Monitoring: Prometheus. BI/Analytics: Power BI. CRM/Sales: Salesforce, Asana, Highspot.
Active work includes customer implementations, Prometheus APM deployment for new customers, machine learning models built on APM data, automation tooling for deployment, technical documentation, and customer care scaling. Consulting engagements and roll-out trainings are ongoing.
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