AI Research
AI Startup Selected by UN World Food Programme Among 579 Global Innovators
Safe Pro Group (NASDAQ:SPAI) announced that its AI subsidiary, Safe Pro AI, has been selected as a finalist in the UN World Food Programme’s Humanitarian Innovation Accelerator program. The company’s application, focused on AI-powered landmine detection in Ukrainian agricultural fields, was chosen among 579 applications from 103 countries, being the only U.S. AI technology selected.
The company’s technology has analyzed over 1.66 million drone images and identified 28,000+ threats across 6,705 hectares in Ukraine. Finalists have the opportunity to receive up to $150,000 in funding and join a 12-month sprint cohort after a due diligence process.
[ “Selected as finalist in prestigious UN WFP program from 579 global applicants”, “Only U.S. AI technology selected for the program”, “Potential to receive up to $150,000 in funding”, “Proven track record with 1.66 million drone images analyzed and 28,000+ threats identified”, “Technology can be deployed both on-site and cloud-based through AWS” ]
Safe Pro Group (NASDAQ:SPAI) ha annunciato che la sua controllata specializzata in intelligenza artificiale, Safe Pro AI, è stata selezionata come finalista nel programma Humanitarian Innovation Accelerator del Programma Alimentare Mondiale delle Nazioni Unite. La candidatura dell’azienda, incentrata sulla rilevazione di mine terrestri nei campi agricoli ucraini tramite intelligenza artificiale, è stata scelta tra 579 candidature provenienti da 103 paesi, risultando l’unica tecnologia AI statunitense selezionata.
La tecnologia dell’azienda ha analizzato oltre 1,66 milioni di immagini da droni e identificato più di 28.000 minacce su 6.705 ettari in Ucraina. I finalisti avranno l’opportunità di ricevere fino a 150.000 dollari di finanziamento e di partecipare a un percorso intensivo di 12 mesi dopo un processo di due diligence.
- Selezionata come finalista in un prestigioso programma ONU WFP tra 579 candidature globali
- Unica tecnologia AI statunitense selezionata per il programma
- Possibilità di ricevere fino a 150.000 dollari di finanziamento
- Esperienza comprovata con 1,66 milioni di immagini da droni analizzate e oltre 28.000 minacce identificate
- La tecnologia può essere implementata sia in loco che sul cloud tramite AWS
Safe Pro Group (NASDAQ:SPAI) anunció que su subsidiaria de inteligencia artificial, Safe Pro AI, ha sido seleccionada como finalista en el programa Humanitarian Innovation Accelerator del Programa Mundial de Alimentos de la ONU. La aplicación de la compañía, centrada en la detección de minas terrestres en campos agrícolas ucranianos mediante IA, fue elegida entre 579 solicitudes de 103 países, siendo la única tecnología de IA de EE. UU. seleccionada.
La tecnología de la empresa ha analizado más de 1.66 millones de imágenes de drones e identificado más de 28,000 amenazas en 6,705 hectáreas en Ucrania. Los finalistas tienen la oportunidad de recibir hasta $150,000 en financiamiento y unirse a un programa intensivo de 12 meses tras un proceso de diligencia debida.
- Seleccionada como finalista en prestigioso programa ONU WFP entre 579 solicitudes globales
- Única tecnología de IA de EE. UU. seleccionada para el programa
- Potencial para recibir hasta $150,000 en financiamiento
- Historial comprobado con 1.66 millones de imágenes de drones analizadas y más de 28,000 amenazas identificadas
- La tecnología puede implementarse tanto in situ como en la nube a través de AWS
Safe Pro Group (NASDAQ:SPAI)는 자회사인 Safe Pro AI가 유엔 세계식량계획(WFP)의 인도주의 혁신 가속기 프로그램의 최종 후보로 선정되었다고 발표했습니다. 회사의 신청서는 우크라이나 농경지에서 AI 기반 지뢰 탐지에 중점을 두었으며, 103개국에서 접수된 579건의 신청서 중 유일한 미국 AI 기술로 선정되었습니다.
회사의 기술은 166만 개 이상의 드론 이미지를 분석하여 우크라이나 6,705헥타르 지역에서 28,000개 이상의 위협을 식별했습니다. 최종 후보는 실사 과정을 거친 후 최대 15만 달러의 자금 지원을 받고 12개월 간의 집중 프로그램에 참여할 기회를 갖습니다.
- 579건의 전 세계 신청서 중 유엔 WFP 권위 있는 프로그램 최종 후보 선정
- 프로그램에 선정된 유일한 미국 AI 기술
- 최대 15만 달러 자금 지원 가능성
- 1,660,000개 이상의 드론 이미지 분석 및 28,000개 이상의 위협 식별로 입증된 성과
- AWS를 통한 현장 및 클라우드 기반 배포 가능
Safe Pro Group (NASDAQ:SPAI) a annoncé que sa filiale spécialisée en intelligence artificielle, Safe Pro AI, a été sélectionnée finaliste dans le programme Humanitarian Innovation Accelerator du Programme Alimentaire Mondial des Nations Unies. La candidature de l’entreprise, axée sur la détection de mines terrestres dans les champs agricoles ukrainiens grâce à l’IA, a été choisie parmi 579 candidatures provenant de 103 pays, étant la seule technologie IA américaine sélectionnée.
La technologie de l’entreprise a analysé plus de 1,66 million d’images de drones et identifié plus de 28 000 menaces sur 6 705 hectares en Ukraine. Les finalistes ont la possibilité de recevoir jusqu’à 150 000 $ de financement et de rejoindre un programme intensif de 12 mois après un processus de diligence raisonnable.
- Sélectionnée finaliste dans un prestigieux programme ONU PAM parmi 579 candidatures mondiales
- Seule technologie IA américaine sélectionnée pour le programme
- Potentiel de recevoir jusqu’à 150 000 $ de financement
- Expérience avérée avec 1,66 million d’images de drones analysées et plus de 28 000 menaces identifiées
- Technologie déployable sur site et via le cloud grâce à AWS
Safe Pro Group (NASDAQ:SPAI) gab bekannt, dass seine KI-Tochtergesellschaft Safe Pro AI als Finalist im Humanitarian Innovation Accelerator-Programm des UN World Food Programme ausgewählt wurde. Die Bewerbung des Unternehmens, die sich auf KI-gestützte Minenerkennung in ukrainischen Agrarfeldern konzentriert, wurde aus 579 Bewerbungen aus 103 Ländern ausgewählt und ist die einzige US-amerikanische KI-Technologie, die ausgewählt wurde.
Die Technologie des Unternehmens hat über 1,66 Millionen Drohnenbilder analysiert und mehr als 28.000 Bedrohungen auf 6.705 Hektar in der Ukraine identifiziert. Finalisten haben die Möglichkeit, nach einem Due-Diligence-Prozess bis zu 150.000 USD Finanzierung zu erhalten und an einem 12-monatigen Sprint-Programm teilzunehmen.
- Ausgewählt als Finalist in einem renommierten UN WFP-Programm aus 579 globalen Bewerbungen
- Einzige US-amerikanische KI-Technologie, die für das Programm ausgewählt wurde
- Potenzial zur Finanzierung von bis zu 150.000 USD
- Bewährte Erfolgsbilanz mit 1,66 Millionen analysierten Drohnenbildern und über 28.000 identifizierten Bedrohungen
- Technologie kann sowohl vor Ort als auch cloudbasiert über AWS eingesetzt werden
Negative
- Still needs to pass due diligence process to receive funding
- Only 4 out of 8 finalists will be selected for implementation
Company’s Safe Pro AI named as finalist in UN WFP Humanitarian Innovation Accelerator’s Innovation Week Program dedicated to shaping the future of humanitarian response
AVENTURA, FLORIDA / ACCESS Newswire / July 10, 2025 / Safe Pro Group Inc. (Nasdaq:SPAI) (“Safe Pro” or the “Company”), an emerging leader in artificial intelligence (AI)-powered security and threat detection solutions, today announced that its AI subsidiary, Safe Pro AI, was selected as a finalist in the Humanitarian Innovation Accelerator Innovation Weeks program created by the United Nations World Food Programme (WFP).
“We cannot solve our problems with the same thinking we used when we created them,” said the legendary scientist, Albert Einstein.
Safe Pro AI’s application entitled, “Enhancing safety and food security through AI detection of landmines in Ukrainian agricultural fields” was selected as one of eight finalists in the Humanitarian Innovation Accelerator Innovation Weeks program which saw 579 applications from 103 countries. It was also the only U.S. AI technology selected for participation in the program. Following the Innovation Weeks, all eight teams will have the opportunity to submit their sprint proposals. Four of them will be selected to implement their sprint plans and will undergo a rigorous due diligence process. Once approved, the teams will be inducted into Humanitarian Innovation Accelerator’s 12-month sprint cohort and awarded funding of up to US
“The selection of Safe Pro AI as a finalist in this prestigious global humanitarian technology innovation program is a testament to the dedication of our team and the unique capabilities of our patented, American-made AI-powered computer vision technology. As demonstrated in Ukraine over the past 2.5 years, the ability to rapidly analyze drone-based video and imagery with AI represents a paradigm shift in humanitarian demining, enabling the industry to better address the global challenge and scale of landmine contamination cost-effectively,” said Dan Erdberg, chairman and CEO of Safe Pro Group Inc. “We wish to congratulate our Safe Pro AI team on this latest achievement which recognizes our commitment to utilize our AI technology in agriculture to contribute to WFP’s mission of ending hunger and contributing to food stability.”
The Humanitarian Innovation Accelerator Programme, a collaborative effort between the WFP Innovation Accelerator and the Government of the Grand-Duchy of Luxembourg, seeks high-impact innovative solutions to address the pressing emergency and humanitarian challenges faced by vulnerable populations and humanitarian actors. With a core focus on leveraging technology, this program supports and nurtures solutions that can effectively tackle global challenges within the humanitarian sphere. Through a meticulous selection process, ventures and solution providers are chosen to receive comprehensive support, including financial backing, technical expertise, and methodological guidance from the WFP Innovation Accelerator and its esteemed partners.
The Company’s AI-powered drone-based imagery analysis platform can detect and identify over 150 types of landmines and unexploded ordnance in a fraction of a second per image, rapidly delivering mission-critical situational awareness. Deployed on the edge in real-time (SpotlightAITM OnSite) or leveraging Amazon Web Services (AWS) on the cloud (SpotlightAITM), Safe Pro Object Threat Detection (SPOTD) technology can scale globally, offering solutions for rapid battlefield analysis as well as supporting large-scale commercial and humanitarian demining operations such as clearing agricultural land contaminated by landmines. Powering the Company’s SPOTD technology, Safe Pro’s unique real-world datasets include high-resolution drone imagery and GPS-tagged geospatial data encompassing over 1.66 million drone images analyzed to date, and 28,000+ threats identified across 6,705 hectares in Ukraine, an area nearly equivalent in size to Manhattan.
For more information about Safe Pro Group, its subsidiaries, and technologies, please visit https://safeprogroup.com and connect with us on LinkedIn, Facebook, X and Instagram.
About Safe Pro Group Inc.
Safe Pro Group Inc. is a mission-driven technology company delivering AI-enabled security and defense solutions. Through cutting-edge platforms like SPOTD, Safe Pro provides advanced situational awareness tools for defense, humanitarian, and homeland security applications globally. It is a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing leveraging commercially available “off-the-shelf” drones with its proprietary machine learning and computer vision technology to enable rapid identification of explosives threats, providing a much safer and more efficient alternative to traditional human-based analysis methods. Built on a cloud-based ecosystem and powered by Amazon Web Services (AWS), Safe Pro Group’s scalable platform is targeting multiple markets that include commercial, government, law enforcement and humanitarian sectors where its Safe Pro AI software, Safe-Pro USA protective gear and Airborne Response drone-based services can work in synergy to deliver safety and operational efficiency. For more information on Safe Pro Group Inc., please visit https://safeprogroup.com/.
About the World Food Programme Innovation Accelerator
The WFP Innovation Accelerator was launched by the United Nations (UN) World Food Programme in 2015 to source new ideas, sprint pilot projects, and scale high-impact innovations by connecting them with WFP’s global network in over 120 countries and territories. From its base in Munich, Germany, the WFP Innovation Accelerator has grown to become one of the world’s leading social impact startup accelerators. Together with the network of WFP regional innovation hubs and country office innovation teams, portfolio ventures and with the support of our partners, in 2024 the WFP Innovation Accelerator ran 18 programmes addressing a wide range of social impact and sustainability issues.
Forward-Looking Statements
Some of the statements in this press release are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995, which involve risks and uncertainties. Although Safe Pro Group believes the expectations reflected in such forward-looking statements are reasonable as of the date made, expectations may prove to have been materially different from the results expressed or implied by such forward-looking statements. Safe Pro Group has attempted to identify forward-looking statements by terminology including ”believes,” ”estimates,” ”anticipates,” ”expects,” ”plans,” ”projects,” ”intends,” ”potential,” ”may,” ”could,” ”might,” ”will,” ”should,” ”approximately” or other words that convey uncertainty of future events or outcomes to identify these forward-looking statements. These statements are only predictions and involve known and unknown risks, uncertainties and other factors, including market and other conditions. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth under Item 1A. in the Company’s most recently filed Form 10-K and updated from time to time in the Company’s Form 10-Q filings and in other filings with the Securities and Exchange Commission (the “SEC”), copies of which may be obtained from the SEC’s website at www.sec.gov. Any forward-looking statements contained in this press release speak only as of its date. Safe Pro Group undertakes no obligation to update any forward-looking statements contained in this press release to reflect events or circumstances occurring after its date or to reflect the occurrence of unanticipated events, except as required by law.
Media Relations for Safe Pro Group Inc.:
Investor Relations for Safe Pro Group Inc.:
Brett Maas, Managing Partner
Hayden IR
(646) 536-7331
Brett@haydenir.com
SOURCE: Safe Pro Group Inc.
View the original press release on ACCESS Newswire
FAQ
What achievement did Safe Pro AI (NASDAQ:SPAI) announce regarding the UN World Food Programme?
Safe Pro AI was selected as one of eight finalists in the UN World Food Programme’s Humanitarian Innovation Accelerator program, chosen from 579 applications across 103 countries.
How much funding could Safe Pro AI receive from the UN WFP program?
If selected after the due diligence process, Safe Pro AI could receive up to $150,000 in funding and join a 12-month sprint cohort.
What is Safe Pro AI’s track record in threat detection in Ukraine?
Safe Pro AI has analyzed over 1.66 million drone images and identified 28,000+ threats across 6,705 hectares in Ukraine, an area nearly equivalent to Manhattan.
How many types of landmines can Safe Pro AI’s technology detect?
Safe Pro AI’s drone-based imagery analysis platform can detect and identify over 150 types of landmines and unexploded ordnance in a fraction of a second per image.
What deployment options are available for Safe Pro AI’s technology?
The technology can be deployed in real-time on the edge (SpotlightAI OnSite) or through Amazon Web Services on the cloud (SpotlightAI).
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Researchers develop AI model to generate global realistic rainfall maps
Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives and protect property. Researchers at the Karlsruhe Institute of Technology (KIT) have developed a new method that uses artificial intelligence (AI) to convert low-resolution global weather data into high-resolution precipitation maps. The method is fast, efficient, and independent of location. Their findings have been published in npj Climate and Atmospheric Science.
“Heavy rainfall and flooding are much more common in many regions of the world than they were just a few decades ago,” said Dr. Christian Chwala, an expert on hydrometeorology and machine learning at the Institute of Meteorology and Climate Research (IMK-IFU), KIT’s Campus Alpin in the German town of Garmisch-Partenkirchen. “But until now the data needed for reliable regional assessments of such extreme events was missing for many locations.”
His research team addresses this problem with a new AI that can generate precise global precipitation maps from low-resolution information. The result is a unique tool for the analysis and assessment of extreme weather, even for regions with poor data coverage, such as the Global South.
For their method, the researchers use historical data from weather models that describe global precipitation at hourly intervals with a spatial resolution of about 24 kilometers. Not only was their generative AI model (spateGEN-ERA5) trained with this data, it also learned (from high-resolution weather radar measurements made in Germany) how precipitation patterns and extreme events correlate at different scales, from coarse to fine.
“Our AI model doesn’t merely create a more sharply focused version of the input data, it generates multiple physically plausible, high-resolution precipitation maps,” said Luca Glawion of IMK-IFU, who developed the model while working on his doctoral thesis in the SCENIC research project. “Details at a resolution of 2 kilometers and 10 minutes become visible. The model also provides information about the statistical uncertainty of the results, which is especially relevant when modeling regionalized heavy rainfall events.”
He also noted that validation with weather radar data from the United States and Australia showed that the method can be applied to entirely different climatic conditions.
Correctly assessing flood risks worldwide
With their method’s global applicability, the researchers offer new possibilities for better assessment of regional climate risks. “It’s the especially vulnerable regions that often lack the resources for detailed weather observations,” said Dr. Julius Polz of IMK-IFU, who was also involved in the model’s development.
“Our approach will enable us to make much more reliable assessments of where heavy rainfall and floods are likely to occur, even in such regions with poor data coverage.” Not only can the new AI method contribute to disaster control in emergencies, it can also help with the implementation of more effective long-term preventive measures such as flood control.
More information:
Luca Glawion et al, Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI, npj Climate and Atmospheric Science (2025). DOI: 10.1038/s41612-025-01103-y
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Karlsruhe Institute of Technology
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Researchers develop AI model to generate global realistic rainfall maps (2025, July 10)
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