Pelico builds a manufacturing orchestration platform targeting complex, multi-site supply chains in aerospace, defense, and industrial equipment. The tech stack (Python, FastAPI, Pandas, Azure data services, Kubernetes) reflects a data-heavy, cloud-native architecture. Engineering dominance in hiring (11 of 28 open roles) paired with active projects around AI-agent deployment and ERP data pipelines signals a shift toward agentic AI for real-time decision support — a natural fit for supply chain visibility and disruption response.
Pelico operates a manufacturing orchestration platform designed for enterprises managing global, fragmented supply chains. The platform aggregates upstream and downstream operational data, provides real-time visibility into disruption impacts, and surfaces AI-generated recommendations and scenario simulations to help procurement, production, and support teams respond faster. Founded in 2019 and based in Miami, the company serves mid-market to enterprise manufacturers in aerospace, defense, OEM, MRO, and industrial equipment verticals. The platform integrates with existing ERP systems (SAP focus evident in stack and projects) and runs on Azure, AWS, and GCP infrastructure.
Python, FastAPI, TypeScript, Java, Pandas for backend; Azure Data Lake Storage, Azure SQL, Azure Kubernetes Service for cloud infrastructure; Docker, Kubernetes, Terraform, Helm for orchestration; GitLab CI/CD for deployment.
Yes. 11 of 28 active roles are engineering positions (posted across the U.S., France, and U.K.), with hiring velocity accelerating. Mix of senior (majority), mid-level, lead, and junior engineers.
Miami, Florida. The company also hires in France and the United Kingdom.
Pelico'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.