Cloud platform for vessel performance, compliance, and predictive maintenance
Smart Ship Hub operates a SaaS platform for maritime fleet operations, built on Python, React, Node.js, and Kafka—a polyglot stack optimized for real-time sensor data ingestion and analytics. The company is actively adopting LLMs (Llama, LangChain) while scaling a large-scale IoT deployment program and tackling the transition from reactive to predictive vessel maintenance. Leadership gaps in product and design, combined with engineering-heavy hiring across senior and manager levels, signal a phase where technical execution and data pipeline stability are primary constraints.
Smart Ship Hub is a cloud-based fleet management platform serving vessel owners, operators, charter parties, insurers, and classification societies. The product enables real-time visibility into fuel utilization, compliance, vessel condition, maintenance scheduling, and voyage optimization. The platform ingests high-frequency sensor data from ships via MQTT, Modbus, and TCP/IP protocols, then surfaces actionable intelligence through web dashboards (React) and mobile interfaces. Founded in 2019 and headquartered in Singapore, the company operates a 51–200 person team distributed across Singapore and India, with active hiring concentrated in engineering and sales.
Python, React, Node.js, PostgreSQL, Kafka, Redis, RabbitMQ, MQTT, Docker, Kubernetes, and AWS/GCP. The platform also uses LangChain and ChatGPT; Llama is under active adoption.
Large-scale IoT deployment, sensor fusion systems, fleet benchmarking, voyage optimization, predictive maintenance capabilities, emission compliance reporting, and platform optimization. The company is focused on reducing go-live cycles and managing high-volume IoT datasets from vessel fleets.
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