Floatingfleet provides an AI‑driven scheduling platform that automatically generates optimal aircraft and crew assignments for Part 135 private charter operators and corporate flight departments, respecting regulatory, contractual, and individual preference constraints. The system delivers real‑time availability checks and instant quoting, reducing deadhead flights and direct operating costs by 4–10% while improving schedule fairness and predictability. Transparent, explainable recommendations help schedulers trust and act on the AI’s decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Private aviation operators and corporate flight departments must manually create aircraft and crew schedules that satisfy complex regulatory, contractual, and individual preference constraints. This process is time‑consuming, prone to errors, and often results in deadhead flights and underutilized resources, driving up direct operating costs and reducing service quality.
Solution
Floatingfleet offers an AI‑driven scheduling platform that automatically generates optimal aircraft and crew assignments for Part 135 operators and corporate flight departments. Advanced algorithms evaluate every constraint—including ratings, rotation rules, labor contracts, and granular customer preferences—to produce compliant, fair, and balanced schedules. The system provides instant visibility into aircraft and crew availability, enabling real‑time quoting and faster deal closure. By minimizing deadhead flights and inefficient pairings, the platform delivers a 4–10% reduction in direct operating costs while improving schedule predictability for both operators and crew. Transparency and explainability features allow schedulers to understand and trust each recommendation, facilitating smoother adoption across the organization.
Target Audience
Primary customers are Part 135 private charter operators and corporate flight departments that manage fleets and crew schedules, as well as airlines seeking AI‑based irregular operations recovery solutions.
Features
- AI optimization engine that simultaneously solves aircraft assignment and crew planning while respecting all regulatory, contractual, and preference constraints
- Real‑time availability checks and instant quoting tool that evaluates how new trip requests fit into the existing schedule
- Automated monthly crew planning with support for full‑time, ad‑hoc, multi‑type ratings, and custom rotation rules
- Explainable recommendations dashboard that shows the rationale behind each scheduling decision
- Cost‑saving analytics reporting the reduction in deadhead flights and projected operating expense improvements
- Scalable architecture extensible to irregular operations recovery for scheduled airlines