AI-driven supply chain visibility and orchestration platform
FourKites processes 3.2M+ supply chain events daily for 1,600+ global brands, converting real-time logistics data into automated decisions. The tech stack reveals a mature AI/ML infrastructure—LangChain, LangGraph, Arize, MLflow, Neo4j—combined with enterprise cloud ops (Azure, AWS, Kubernetes, Terraform). Active adoption of GraphRAG and GraphDB signals a shift toward knowledge-graph reasoning for supply chain intelligence. Hiring is heavily weighted toward senior engineers and staff-level roles, reflecting both the complexity of processing scale and an organization scaling AI capabilities into core product features.
FourKites operates a cloud-native supply chain visibility platform that ingests real-time order, shipment, inventory, and asset data to build digital twins of enterprise logistics networks. The product bundles a control tower for breaking down organizational silos with AI-powered agents that automate exception handling, triage, and routing decisions. The company serves large enterprises across manufacturing, retail, and transportation verticals. With 501–1,000 employees and headquarters in Chicago, FourKites is privately held and was founded in 2014. Current operations span the United States and India.
FourKites runs on Azure and AWS with Kubernetes orchestration, Terraform/CloudFormation for infrastructure, and a modern ML stack including LangChain, LangGraph, Arize, MLflow, and Neo4j. Security scanning uses Wiz, Prisma Cloud, Checkov, and SonarQube. They are actively adopting GraphRAG and GraphDB.
Active projects center on real-time shipment tracking and exception handling, order visibility workflows, advanced data processing pipelines, AI-powered support triage and routing, and authentication/authorization systems. Documentation library maintenance and executive business review tools are also in scope.
Other companies in the same industry, closest in size