Pattern provides an ecosystem of process automation and robotics tools to enhance airport ground operations efficiency and safety. Their Pulse OS integrates diverse airport data sources using simulation and machine learning to optimize tarmac processes and fleet management. Solutions like Co-Pilot offer turn-by-turn navigation for ground support equipment, while Pathfinder automates baggage and cargo movement.
Funding
$10.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Airport ground operations face challenges in efficiently managing baggage and cargo movement, leading to delays, missed bags, and increased operational costs. Existing infrastructure can be inflexible and expensive, hindering the ability to adapt to dynamic changes and optimize resource allocation on the tarmac.
Solution
Pattern Labs offers an integrated ecosystem of autonomous robots and a fleet management system designed to optimize airport ground operations. The Pathfinder robots automate baggage and cargo movement, reducing reliance on traditional conveyance systems. Pulse OS, the fleet management system, integrates with existing airport data sources and uses machine learning to optimize processes, assign missions, and manage gate changes in real-time. Co-Pilot provides ground support equipment (GSE) drivers with a dashboard for clear mission directions, performance stats, and dynamic rerouting, enhancing efficiency and safety.
Target Audience
The primary target audience includes airport operators and airlines seeking to improve ground operation efficiency, reduce costs, and minimize baggage handling errors.
Features
- Pathfinder: Autonomous robots for baggage and cargo movement with teleoperation edge-case support and an ISO-compliant safety system.
- Pulse OS: Fleet management system that integrates with airport data sources to optimize processes and assign efficient pooled missions.
- Co-Pilot: Driver dashboard for GSE providing turn-by-turn navigation, performance stats, and equipment maintenance schedules.
- Real-time gate change management and dynamic rerouting capabilities.
- Advanced simulation and machine learning for training teams against simulated 'best' practices.
- Integrates with existing airport data sources.