Enterprise SaaS for cross-border supply chain visibility and data integration
Zenport builds supply chain management software for companies coordinating stakeholders across borders and functions. The tech stack—Python, Pandas, Airflow, GraphQL, Kubernetes on GCP/AWS—reflects a data-heavy, event-driven architecture designed to handle the integration and transformation challenges of global supply chain workflows. Active projects center on API development, event-driven optimization, and search indexing, while pain points cluster around scalability and microservices performance, suggesting the product is scaling past earlier architectural constraints.
Zenport is a Tokyo-based SaaS startup (founded 2015) serving mid-market and enterprise supply chain teams. The product addresses a core problem: disparate supply chain stakeholders—procurement, logistics, customs, finance—operate on incompatible data formats and timelines across borders. Zenport's platform unifies this fragmentation through a patented, simplified data schema, automated data integration, and visual insights into SCM processes. The company operates with an international team across 10 regions and is hiring primarily in Japan, with engineering-focused headcount split between senior and mid-level engineers.
Python, Pandas, Docker, Kubernetes, GCP, AWS, Apache Airflow, GraphQL, PostgreSQL, Redis, Elasticsearch, RabbitMQ, React, TypeScript, and Next.js. The stack prioritizes data transformation (Airflow, Pandas) and event-driven architecture (RabbitMQ, GraphQL).
Shibuya City, Tokyo, Japan. The company was founded in 2015 and currently operates with 11–50 employees.
Other companies in the same industry, closest in size