Industrial asset monitoring for glass and steel furnaces with AI-driven maintenance
PaneraTech digitizes furnace and vessel health for glass and steel manufacturers using MATLAB, Python, and cloud infrastructure (AWS, GCP, Azure) paired with Kubernetes orchestration. The company is building LLM-based intelligence and predictive maintenance AI modules while grappling with multi-cloud cluster management and data integrity—typical scaling friction for a data-forward industrial software play. Hiring velocity is accelerating across engineering and data roles, suggesting aggressive product expansion.
Notable leadership hires: Information Technology Director
PaneraTech serves glass and steel manufacturers with Digital Furnace Management and Digital Vessel Monitoring platforms that reduce capex spending and mitigate risk from workforce retirement. The company operates across 51–200 employees in Chantilly, VA, with engineering and data teams building asset health monitoring and predictive maintenance tools. Active account development extends to steel mills and large industrial sites; recent initiatives include ERP modernization, change execution programs, and geographic expansion into U.S. territories.
Core: Python, MATLAB, R. Cloud: AWS, GCP, Azure. Orchestration: Kubernetes, Docker, Helm, Argo CD. ERP/CRM: Dynamics 365 Business Central, Salesforce. DevOps: Git, Azure DevOps.
Headquartered in Chantilly, VA. Currently hiring in the United States and Turkey, with active territory development in U.S. steel markets.
Other companies in the same industry, closest in size