Floating Fleet AI
Floating Fleet AI, of Scarsdale, New York, builds optimisation and generative AI for private-aviation operators, scheduling aircraft and crews and drafting charter quotes.
Founded in December 2023 by Roger Zhan, it has 11 to 50 staff. It launched its AI Scheduler in 2024, an AI Quote Assistant in 2025 and a Crew Planning Optimizer in 2026, and announced an expansion into commercial aviation in June 2026. It reports more than 20,000 flights optimised a month, but its customers, including a first international one in January 2026, are not named.
No verified deployments yet
Floating Fleet AI is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
3 productsAI Scheduler
A patent-pending AI scheduling platform for private aviation operators that optimises aircraft and crew assignments in seconds using advanced algorithms. Designed for Part 135 charter operators, corporate flight departments, and floating fleet operators.
Private aviation schedulers spend hours manually planning aircraft and crew assignments, leading to deadhead inefficiencies, suboptimal fleet utilisation, and slow quoting. The AI Scheduler processes millions of scheduling variables in seconds, reducing planning time from hours to seconds and cutting direct operating costs by 4-10%.
- Aircraft and crew assignment optimisation using patent-pending algorithms
- Scheduling run time measured in seconds
- 4-10% reduction in direct operating costs by minimising deadhead flights
- Transparency and explainability - schedulers retain full control to accept or adjust recommendations
3 more features
- Optimises tens of thousands of flights per month
- Supports Part 135 and Part 91 operators and corporate flight departments
- 10-minute onboarding training
Technical specifications (4)
- Advanced machine learning and optimisation algorithms
- Patent-pending optimisation engine
- Reads aircraft and crew scheduling data from integrated flight management systems
- Recommendations pushed directly into partner FMS platforms with one click
AI Quote Assistant
A real-time quoting tool that provides instant visibility into aircraft and crew availability for prospective charter trips. Evaluates how each trip fits into the existing network before committing to a quote, enabling sales teams to close deals faster.
Charter operators and brokers lose revenue opportunities due to slow manual availability checks that can take hours. The AI Quote Assistant delivers aircraft and crew availability plus estimated trip cost in seconds, enabling faster quoting and higher sales volume.
- Instant aircraft and crew availability checks
- Network-aware trip evaluation before quoting
- 5-second turnaround for availability and cost estimates
- Chatbot interface for sales team use
1 more feature
- Supports profitability, feasibility, and speed prioritisation
Technical specifications (2)
- AI-driven availability engine integrated with scheduling data
- Natural language chatbot interface
Crew Planning Optimizer
An AI-powered monthly crew planning tool that automates crew schedule generation for private aviation operators. Handles complex environments including full-time and ad-hoc workforces, multi-type ratings, rotation rules, and crew preferences while respecting all regulatory, contractual, and fatigue constraints.
Monthly crew planning in private aviation is a manual, time-consuming process that struggles to balance regulatory compliance, crew preferences, and operational efficiency across complex workforce structures. The Crew Planning Optimizer automates this process, reducing planning cycles and improving schedule fairness and predictability.
- Automated monthly crew schedule generation
- Handles full-time and ad-hoc workforce combinations
- Supports multi-type ratings
- Customisable to rotation rules and crew preferences
2 more features
- Optimises crew utilisation while respecting regulatory, contractual, and fatigue constraints
- Improves schedule fairness and predictability
Technical specifications (2)
- Constraint-based optimisation with regulatory and contractual rules
- Integrates with scheduling data from connected flight management systems
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.