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BALTIMORE - Marylandian -- AlarisPro, the industry leader in unmanned aircraft systems (UAS) fleet management and safety solutions, has been awarded a Small Business Innovation Research (SBIR) contract from NASA. The award supports AlarisPro's development of an Artificial Intelligence Safety and Reliability (AISR) Digital Twin framework, a technology designed to advance In-Time Aviation Safety Management Systems (IASMS) and revolutionize predictive maintenance and risk management for UAS operations in the National Airspace System (NAS).
As UAS traffic increases, so does the demand for smarter, data-driven safety oversight. AlarisPro's solution integrates artificial intelligence, high-fidelity sensor data, and component degradation modeling to build a real-time prognostic system. This digital twin maintains a live, synchronized representation of its physical UAS counterpart, continuously learning and adapting through advanced AI techniques including transfer learning and anomaly detection.
"At AlarisPro, our mission is to empower UAS operators to fly safer, smarter, and more efficiently," said Anthony Pucciarella, CEO and Founder of AlarisPro. "This NASA SBIR award validates our vision and supports technology that not only elevates safety but also supports new certification and operational standards across both government and commercial sectors. We're honored for this opportunity to work with NASA."
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The AISR Digital Twin framework will enable predictive maintenance by identifying early signs of component degradation before failure occurs – reducing unplanned downtime, extending component lifespan, and enhancing safety during complex missions such as Beyond Visual Line of Sight (BVLOS) operations. The system will also provide real-time risk assessments, helping operators mitigate issues before they escalate.
Public Sector Advancements:
AI models will help establish baseline performance standards, detect anomalies in real time and generate immediate risk assessments — reducing in-flight issues and enhancing safety. The system improves simulation accuracy by continuously aligning virtual models with real-world performance. These capabilities reduce reliance on physical testing and support the development of new UAS safety standards for integration into the NAS, aligning with IASMS objectives and advancing a data-driven airspace ecosystem.
Commercial Applications:
Commercial UAS operators will benefit from predictive maintenance based on real-time usage, improving safety, extending component life and reducing downtime. Insurers can build data-driven risk models and reward safe operations. Regulators can validate UAS designs through simulation and track industry-wide reliability trends accelerating the aircraft certification process. Supply chains will be optimized through better forecasting, just-in-time parts availability, and early detection of quality issues.
More on Marylandian
AlarisPro's AISR Digital Twin technology will shape the future of UAS operations, creating an ecosystem where operational insights not only prevent failures but proactively guide safer, more efficient skies.
About AlarisPro
AlarisPro offers the most advanced UAS fleet management platform available, equipping operators, manufacturers, and maintenance professionals with the safety and reliability data needed to reduce risk, ensure compliance, and optimize unmanned systems.
http://www.alarispro.com
As UAS traffic increases, so does the demand for smarter, data-driven safety oversight. AlarisPro's solution integrates artificial intelligence, high-fidelity sensor data, and component degradation modeling to build a real-time prognostic system. This digital twin maintains a live, synchronized representation of its physical UAS counterpart, continuously learning and adapting through advanced AI techniques including transfer learning and anomaly detection.
"At AlarisPro, our mission is to empower UAS operators to fly safer, smarter, and more efficiently," said Anthony Pucciarella, CEO and Founder of AlarisPro. "This NASA SBIR award validates our vision and supports technology that not only elevates safety but also supports new certification and operational standards across both government and commercial sectors. We're honored for this opportunity to work with NASA."
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The AISR Digital Twin framework will enable predictive maintenance by identifying early signs of component degradation before failure occurs – reducing unplanned downtime, extending component lifespan, and enhancing safety during complex missions such as Beyond Visual Line of Sight (BVLOS) operations. The system will also provide real-time risk assessments, helping operators mitigate issues before they escalate.
Public Sector Advancements:
AI models will help establish baseline performance standards, detect anomalies in real time and generate immediate risk assessments — reducing in-flight issues and enhancing safety. The system improves simulation accuracy by continuously aligning virtual models with real-world performance. These capabilities reduce reliance on physical testing and support the development of new UAS safety standards for integration into the NAS, aligning with IASMS objectives and advancing a data-driven airspace ecosystem.
Commercial Applications:
Commercial UAS operators will benefit from predictive maintenance based on real-time usage, improving safety, extending component life and reducing downtime. Insurers can build data-driven risk models and reward safe operations. Regulators can validate UAS designs through simulation and track industry-wide reliability trends accelerating the aircraft certification process. Supply chains will be optimized through better forecasting, just-in-time parts availability, and early detection of quality issues.
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AlarisPro's AISR Digital Twin technology will shape the future of UAS operations, creating an ecosystem where operational insights not only prevent failures but proactively guide safer, more efficient skies.
About AlarisPro
AlarisPro offers the most advanced UAS fleet management platform available, equipping operators, manufacturers, and maintenance professionals with the safety and reliability data needed to reduce risk, ensure compliance, and optimize unmanned systems.
http://www.alarispro.com
Source: AlarisPro
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