Ginger AI is an agentic AI platform transforming how rail and transit operators plan, work, and serve. Acting as an intelligent coworker, it delivers proactive, contextual support across the transportation ecosystem. From real-time maintenance and multilingual passenger help to financial insights and employee assistance, Ginger boosts efficiency and service quality.
Built for ground transport’s challenges, the platform thinks, adapts, and integrates with existing systems - cloud or on-premise. It’s not just automation; it’s your always-on operations partner.
Delivers accurate, real-time insights from complex documents and systems using Agentic RAG and adaptive data pipelines.
Seamlessly automates tasks across HR, maintenance, finance, and ticketing with scalable, low-maintenance integrations.
Keeps users informed with timely, personalized notifications for tasks, disruptions, and decision points.
Handles high volumes of multi-language queries through natural, contextual conversations across voice and chat.
Improves productivity, automate repetitive tasks, and centralize knowledge access for HR, IT, legal, finance and sales.
Empower maintenance crews with predictive insights, documentation access, and real-time support tools. Ask Ginger and it will assist you in all maintenance tasks from identifying an issue to creating work orders to get issues solved.
Centralize insights from enterprise data sources to guide operations, finances, and employee planning. Ginger AI can extract and analyze financial data from various departments generating comprehensive reports and forecasts.
Deliver personalized travel experiences through AI agents aware of traveler preferences and habits. Ginger AI can provide real-time translation services, travel updates, and assistance in multiple languages through mobile apps or station kiosks.
Minimize disruptions, boost efficiency, and deliver smarter, seamless service across every step of the journey.
GenAI-powered solution design to automate data retrieval, simplify prompt optimization, and define a framework that maps LLMs to the tasks they are best suited for.
Guides users through understanding and claiming compensation benefits quickly, using intuitive algorithms to streamline inquiries and submissions with a user-centric design.
Simplifies staff tasks at stations, in trains, and in buses. It integrates voice-to-text capabilities for hands-free convenience, offers comprehensive onboarding FAQs and smoother operations.