FlexShip offers Enterprise-level AI technologies for Fleet and Voyage Optimization
We help maritime players with advanced Data Analytics and Artifical Intelligence solutions to save costs, reduce carbon footprint and drive new revenues.
Voyage Optimization
Multi-Objective Voyage optimization to reduce fuel, manage ETA and enhance safety
Performance Modeling
Ship Performance Modeling, Monitoring and Reporting with Voyage big data
Last Mile Route Optimization
Leverage Port data for Just-in-time Port turnaround
Predictive Maintenance Analytics
Ship Equipment IoT data driven Platform
Services
Our Services encompass next-generation digital services and consulting for the maritime industry to help cut down time to market, cost and scale through growth. We specialize in making AI/ML models operational using scalable cloud, edge computing and field proven methodologies.
IoT Device Design and Firmware
Rapid evolution of Connected Marine technology is changing the way users perceive and use technology. Our IoT related Services include Device design and feasibility analysis, Device hardware and firmware development, Edge Computing and Intelligence, Field Testing and Production Run Management
Analytics, AI and ML
Fast Real time analytics and Deep Historical Data Mining on large volume and heterogenous data streams, Statistical and ML algorithms for descriptive and predictive analytics, Deep Learning techniques for Vision and NLP.
Cloud and Big Data
Web scale cloud development and managed services, Microservices architecture to unlimited number of Connected devices, Experience of working across Public Clouds or on-premise deployment, Scalable Cloud stack including Kafka Pipelines, Spark Hadoop cluster, No-Sql and in-memory databases
Visibility and Web Dashboards
The rise of digital initiatives and supply chain highways make visibility a core requirement of any application. We help you with UI/UX design and development for Enterprise Apps, Native Mobile App development, Responsive Web Applications, Visualization and Dashboarding.