AI-powered CMMS platform for frontline maintenance teams
MaintainX operates a mobile-first CMMS (Computerized Maintenance Management System) built on TypeScript/React Native, with PyTorch and TensorFlow pipelines for predictive maintenance models. The stack reveals a company scaling both frontend adoption (React Native for field workers) and backend ML (scikit-learn, Apache Airflow, Spark). Active hiring across engineering, sales, and support—plus projects targeting ERP integrations, predictive models, and product-led growth—signals execution on three concurrent vectors: deepening AI features, expanding customer automation, and shifting to self-serve adoption.
Notable leadership hires: Product Platform Director, Sales Development Director
MaintainX provides a cloud-based CMMS platform that digitizes maintenance operations for large manufacturers, food & beverage, facilities, and asset-heavy industries. The platform manages work orders, preventive maintenance schedules, safety audits, inspections, and parts inventory across multi-site operations, serving over 13,000 customers and 500,000 frontline users globally. The product integrates with major ERPs (SAP, Oracle, NetSuite, Dynamics 365) and iPaaS tools (MuleSoft, Boomi, Workato) to connect asset data with back-office systems. Current engineering focus includes predictive maintenance models, data migration workflows, and integration services—areas where data integrity and scaling reliability appear as active internal constraints.
Frontend: TypeScript, React, React Native. Backend: Node.js, Python, MySQL. ML/analytics: PyTorch, TensorFlow, scikit-learn, Apache Airflow, Spark. Integrations: SAP, Oracle, NetSuite, Dynamics 365, MuleSoft, Boomi, Workato, Salesforce, Workday. Currently adopting LangChain, LlamaIndex, and Hugging Face for AI features.
United States, Canada, France, Argentina, and Syria. Headquarters is San Francisco, California.
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