Redefining Decision-Making
Our real-time intelligence platform empowers teams to make accurate, timely decisions. Whether predicting wildfire behavior to protect communities, managing airspace, or automating multi-vehicle missions, our platforms deliver the precision and intelligence required to tackle today’s most complex challenges.
Adopting a hardware-agnostic approach, our system seamlessly connects vehicles, sensors, IoT devices, and external platforms. Leveraging advanced analytics, it equips mission managers with integrated, real-time situational awareness, actionable predictions, and human-on-the-loop mission management. Together, these capabilities set a new benchmark for decision-making in critical sectors.
When every hour counts, you need tools that work as hard as you do. WindTL, fully backed by NASA, NOAA, and Google, equips you with the ability to predict fire and ember spread with unmatched accuracy, helping you stay one step ahead of the flames. Embers, which cause 90% of structural losses during wildfires, are no longer unpredictable—WindTL shows you where they’ll land before they ignite.
By combining real-time data, WindTL delivers the actionable insights you need—fast. During the recent Palisades Fire, WindTL demonstrated its potential to help allocate resources more effectively and change the outcome of a wildfire response.
SkyTL is an intelligence platform designed to deliver comprehensive situational awareness, human-on-the-loop mission coordination, and actionable decision-making. From airspace surveillance to fully autonomous mission management, SkyTL integrates advanced autonomous coordination and predictive analytics within a flexible, modular design.
This adaptability ensures seamless integration across diverse operational domains, making SkyTL an indispensable tool for multi-domain operations, even in contested environments.
CUSTOMER
SOLUTIONS
During a wildfire, while fire spread through the ground is an obvious threat, the real danger often lies in the embers carried by the wind—traveling miles ahead of the main fire. These embers are responsible for 90% of homes lost during wildfires. Until today, no model had ever been able to predict the ember spread process.
After years of research, Improving Aviation has solved the problem of ember transport. Using a combination of physical models and machine learning, our in-house ember spread model predicts, to an unprecedented level of accuracy, the areas at risk of ember ignition during an active or future fire.
Our model works using open source data or as an integrated platform that additionally aggregates in situ observations from multiple in situ sources - weather sensors, drones, people in the field, etc. - further enhancing the accuracy and temporal resolution of the model. The future is exciting and boundless.
Firefighting agencies can now deploy resources more effectively, focusing on protecting homes and critical areas before they are destroyed and containing the fire before it becomes a catastrophe. Utilities companies can effectively protect critical infrastructure before it becomes a major disruption. And municipalities and governments can design evacuation and mitigation plans, and write policies and code using data that has never been available before.
Robotic vehicles have the opportunity to revolutionize emergency response, getting to those places people cannot safely or quickly do so, providing an enhanced level of situational awareness, and sending critical data to decision support tools at higher volumes. However, they come with their own challenges.
To achieve the effective and safe integration of robotics in emergency response, Improving Aviation provides responders with an integrated field deployable decision support tool. This tool allows users to manage, command, and control assets from multiple domains (air, ground, manned or unmanned) through a single interface—whether you’re on the ground or in the command center. With mission planning tools, dynamic deconfliction models, and alerts of unknown airspace activity, our platform provides users with human on the loop tools to quickly assign resources, send optimum mission plans, and deconflict from potential threats.
In addition, the platform connectivity to operational assets allows users to obtain real-time intelligence from them, including video imagery, weather observations, and target data, and through AI at the edge algorithms turns raw data into actionable insights in real time, anticipating threats and risks. The platform works offline, ensuring intelligence is always available, even in contested environments.
In the end, it’s about smarter decision-making and operational efficiency. With Improving Aviaton’s technology, emergency responders can act with confidence, streamline operations, and ensure mission success—even in the most complex environments.
The future of warfare demands a highly adaptable and efficient supply and sustainment capability to support large-scale, multi-domain operations against peer adversaries. The challenges posed by rapid resource depletion, remote deployments, and the convergence of domains necessitate innovative solutions for resupply, local procurement, and point-of-need production.
Improving Aviation’s integrated decision support platform significantly enhances supply chain efficiency and responsiveness in future warfare. Through the suite of tools, including multi-vehicle mission planning, real-time coordinated mission management, one-to-many command and control, platform-agnostic formation flight navigation solution, and data-driven decision support models, aviation assets can be optimized for dynamic resupply missions, ensuring timely delivery of critical resources to the point of need. These tools can enable more efficient resource allocation, improved situational awareness, enhanced coordination among different platforms, and more informed decision-making, ultimately supporting the strategic-to-tactical distribution and supply gaps faced by untethered operators..
The escalating threat of illegal and dangerous drone activity demands immediate action. Despite recent investments in counter-drone technology, such as the $10 million allocated to the Department of Homeland Security in the 2023 fiscal year, the pace of innovation is not keeping pace with the rapid advancements in drone capabilities. To safeguard our critical infrastructure, Improving Aviation is leveraging funding from NASA and the Air Force to develop a tool that can accurately track, identify and flag unwanted activity.
With a hardware agnostic approach, Improving Aviation’s platform connects to a multitude of sensors, and using our deep expertise in drone operations, model a state-of-the-art analysis tool to identify unwanted activity and threats, not only anticipating drone paths, but also identifying threats to the system, such as jamming, spoofing, or drone swarms. This system protects public safety and national security, will strengthen regulatory frameworks, and fosters cooperation to combat this growing threat.
Despite the proven efficacy of individual automated machines to perform routine airfield tasks like perimeter patrol, grass cutting, and FOD sweeping, the lack of a unified Command and Control (C2) system was hindering the adoption of robotic vehicles on airfields globally. This limitation prevents these machines from working in concert, optimizing efficiency, and ensuring safe and coordinated operations across various airfield tasks. Consequently, the full potential of automation for reducing labor costs, improving safety, and enhancing airfield operations remains unrealized.
Improving Aviation has adapted its integrated command and control tool to provide a centralized and consolidated command, control, communications, coordination, navigation, and collision avoidance system for airfield management.. By acting as a mission director that integrates multiple robotic platforms, synchronizes operations, and manages assets, TARMAC provides a unified view of airfield activities, ensuring safety and compliance with FAA regulations and airports can integrate robotics to their operations.. Built on a modular open system architecture, TARMAC is highly adaptable and can integrate with various robotic technologies, making it a scalable and efficient solution for airfield operations.
