MultiFireScan is a multi-spectral aerial imaging and artificial intelligence technology. The solution is based on the use of aerial sensors and AI algorithms to produce near-real-time mapping. This combination provides rapid and accurate feedback of critical information on forest fire dynamics, facilitating informed decisions during response operations. MultiFireScan is also equipped with a fire propagation simulation algorithm : Firecaster. This tool enables us to propose precise attack plans and make evacuation recommendations based on the analysis of different scenarios, thus improving the effectiveness of fields operations. By integrating real-time data into the geographic information systems (GIS) used by fire-fighters, teams can accurately visualize the flame front, the perimeter of the fire and predict its spread via Firecaster, enabling a more effective and targeted intervention.
MultiFireScan is also used to anticipate fire risks, particularly in areas suffering from water stress, this technology enables the creation of specific maps to improve prevention and proactive fire management, reducing the vulnerability of at-risk areas.
Our system is at TRL 8 stage, we were able to successfully field test our equipment during the 2024 summer season in the south of France. The test report is attached to this form. This kind of technology has been known and used worldwide for less than 3 years, and no other system combines our technologies while integrating them into an aircraft.
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Our objective is to provide fire and rescue services with a deeper, data-driven understanding of wildfire behavior across all phases of response: prevention, crisis management, and post-incident review. By combining advanced aerial imaging and predictive simulation, we help teams anticipate risks, optimize interventions, and refine future strategies through post-event analysis.
Fire and rescue services currently lack effective tools for generating and exploiting actionable data during wildfires. Drones offer limited coverage, satellites often lack the necessary revisit frequency, and traditional aircraft-based solutions are frequently out of sync with real-time operational needs. Additionally, during emergency response, command centers face a high volume of incoming data, making real-time analysis complex and time-consuming. Our solution addresses this challenge with a pre-treatment process that structures data, delivering only the most relevant, decision-ready information to teams in the field and in the command center.
MultiFireScan stands out through its integration of advanced technologies with deep operational understanding of wildfire response. Our system significantly reduces the delay between data collection and field use, which is a critical factor in fast-changing fire scenarios. Unlike drone-based or satellite systems, our airborne platform can cover large perimeters in a single pass and provide decision-ready outputs in near real time.
Firecaster, our fire propagation simulation module, is fully integrated into intervention planning and evacuation strategies. This offers a level of predictive and operational support that few systems are able to deliver.
A key differentiator is that we operate our own fleet of water bombing aircraft. This gives us daily, hands-on exposure to firefighting operations and a deep understanding of field requirements. It enables us to develop technology that truly reflects operational constraints, rather than relying on theoretical or lab-based assumptions. It also allows for fast deployment and seamless coordination with other airborne resources.
The deployment of MultiFireScan in real-world wildfire operations has confirmed the reliability and practical value of our approach. It is not just a technological innovation, but a mission-ready tool designed to support faster, safer and more informed decisions.
MultiFireScan addresses a critical gap in wildfire response: the lack of fast, scalable, and operationally integrated data to guide field decisions. Existing tools are often fragmented, delayed, or too complex to be actionable in real time. Our solution solves this by delivering directly usable intelligence such as fire front locations, spread forecasts, and risk zone identification, all tailored to real operational needs.
From an operational perspective, we are more than just a technology provider. We own and operate our own fleet of water-bombing aircraft and work with a team of very experienced professionals. This setup gives us full autonomy and flexibility to deploy rapidly during fire seasons.
We also collaborate closely with fire and rescue services to ensure our outputs are compatible with the formats and systems they rely on, such as GIS platforms and command interfaces.
By combining strong internal capabilities with trusted field partnerships, MultiFireScan is ready to deliver immediate value in both crisis response and prevention. Our solution helps operational teams act faster, more safely, and with greater impact.
Our team working on this solution is made up of six people. There are four trainers, including Pierre Carlotti, founder of Aria Firefighting and a former fighter pilot, who coordinates the teams and operates the systems, and two crew members. Our team includes a specialist in meteorology and forest fire behavior, a former Canadair pilot, a geomatician and topographer, and two crew members to pilot the sensor-equipped aircraft.
Our team working on this solution is made up of six people. There are four trainers, including Pierre Carlotti, founder of Aria Firefighting and a former fighter pilot, who coordinates the teams and operates the systems, and two crew members. Our team includes a specialist in meteorology and forest fire behavior, a former Canadair pilot, a geomatician and topographer, and two crew members to pilot the sensor-equipped aircraft.