The startup develops airline operational optimization software that utilizes artificial intelligence to enhance efficiency in airline operations. By providing technical tools for leaner operations, the software helps reduce fuel consumption and lower the environmental impact of the aviation industry.
Funding
$2.9M 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
Airlines face the constant challenge of balancing efficiency and safety, particularly in real-world operations where weather and traffic conditions impact flight plans. Traditional methods for turbulence avoidance rely heavily on pilot intuition and coarse-grained weather data, leading to inefficient diversions and increased fuel consumption. The aviation industry also faces increasing pressure to reduce its carbon footprint and achieve carbon neutrality by 2050.
Solution
NABLA Mobility offers a suite of ML/AI-powered solutions designed to optimize flight operations by simultaneously enhancing safety and fuel efficiency. Their core technology, Untangle, ingests and refines flight plans with comprehensive, multi-objective optimizations, providing pilots with strategic options for turbulence avoidance and fuel savings. By integrating a high-resolution turbulence prediction model with precise altitude optimization and a fuel model, Untangle enables airlines to reduce fuel consumption, minimize carbon emissions, and improve passenger comfort. The platform is available as an API for integration into existing EFBs and flight planning software, as well as a standalone EFB application called Weave.
Target Audience
The primary target audience includes commercial and cargo airlines seeking to optimize flight operations, reduce fuel consumption, enhance safety, and meet decarbonization goals, as well as EFB and flight planning software providers.
Features
- High-resolution turbulence prediction model with 18x improved accuracy compared to Vertical Wind Shear (VWS) models
- Altitude optimization that considers turbulence avoidance, wind profiles, and fuel consumption at 15NM intervals
- Fuel model that accounts for the unique characteristics of each aircraft at the tail number level
- Weave EFB application for pilots, dispatchers, and operations teams to access Untangle features on web, iPadOS, iOS, and MacOS
- Untangle API for integration into existing EFBs, flight planning software, and civil aviation systems
- Multi-objective optimization that balances safety, comfort, on-time performance, and fuel efficiency
- Customizable turbulence thresholds to tailor recommendations to specific passenger comfort and safety ranges
- GeoJSON weather data for visualization on maps
- EDR (Eddy Dissipation Rate) levels adapted to the weight of individual aircraft