What if we could deliver emergency supplies anywhere in the world in two hours or less? Our Emergency Parametric Re-Entry Pod (E-PREP) project delivers this capability by combining our AI pod design optimization with additive and digital manufacturing, and mission planning with our mission planning and optimization solution.
We were recently selected by the US National Science Foundation (NSF) to submit a proposal to their America's Seed Fund program for space technologies and we're thrilled to be a finalist in the AFWERX Engage: Space Global Space Transport and Delivery Challenge, placing us in the top 8% of over 800 competing companies.
We were recently selected by the US National Science Foundation (NSF) to submit a proposal to their America's Seed Fund program for space technologies and we're thrilled to be a finalist in the AFWERX Engage: Space Global Space Transport and Delivery Challenge, placing us in the top 8% of over 800 competing companies.
Our unique solution brings advanced artificial intelligence capabilities developed for complex manufacturing and logistics challenges to the world of mission planning for Intelligence, Surveillance, and Reconnaissance (ISR), TRANSCOM logistics, and New Platform Analysis.
Food, forestry, and fishing-related activities represent $0.5T of US domestic GDP, but this important economic component has not grown significantly since 2013.
Precision agriculture augmented by multispectral imaging from drones is one possible way to boost this important element of US productivity. Currently commercial drones are primarily produced outside the US, and it is likely that agriculture-related multispectral imaging and diagnostic software capabilities will follow and put our country at a competitive disadvantage. Further, today's high cost of multispectral imaging sensors and limited means to drive this data to productive action recommendations for farmers is blocking US agricultural performance growth.
Our Agricultural Drone project will address these challenges by developing a crop diagnostic action recommendation system using a new low-cost multispectral imaging approach combined with powerful cloud-based machine learning algorithms.
Precision agriculture augmented by multispectral imaging from drones is one possible way to boost this important element of US productivity. Currently commercial drones are primarily produced outside the US, and it is likely that agriculture-related multispectral imaging and diagnostic software capabilities will follow and put our country at a competitive disadvantage. Further, today's high cost of multispectral imaging sensors and limited means to drive this data to productive action recommendations for farmers is blocking US agricultural performance growth.
Our Agricultural Drone project will address these challenges by developing a crop diagnostic action recommendation system using a new low-cost multispectral imaging approach combined with powerful cloud-based machine learning algorithms.
What if we could deliver emergency supplies anywhere in the world in two hours or less? Our Emergency Parametric Re-Entry Pod (E-PREP) project delivers this capability by combining our AI pod design optimization with additive and digital manufacturing, and mission planning with our mission planning and optimization solution.
We were recently selected by the US National Science Foundation (NSF) to submit a proposal to their America's Seed Fund program for space technologies and we're thrilled to be a finalist in the AFWERX Engage: Space Global Space Transport and Delivery Challenge, placing us in the top 8% of over 800 competing companies.
We were recently selected by the US National Science Foundation (NSF) to submit a proposal to their America's Seed Fund program for space technologies and we're thrilled to be a finalist in the AFWERX Engage: Space Global Space Transport and Delivery Challenge, placing us in the top 8% of over 800 competing companies.
Our unique solution brings advanced artificial intelligence capabilities developed for complex manufacturing and logistics challenges to the world of mission planning for Intelligence, Surveillance, and Reconnaissance (ISR), TRANSCOM logistics, and New Platform Analysis.
Food, forestry, and fishing-related activities represent $0.5T of US domestic GDP, but this important economic component has not grown significantly since 2013.
Precision agriculture augmented by multispectral imaging from drones is one possible way to boost this important element of US productivity. Currently commercial drones are primarily produced outside the US, and it is likely that agriculture-related multispectral imaging and diagnostic software capabilities will follow and put our country at a competitive disadvantage. Further, today's high cost of multispectral imaging sensors and limited means to drive this data to productive action recommendations for farmers is blocking US agricultural performance growth.
Our Agricultural Drone project will address these challenges by developing a crop diagnostic action recommendation system using a new low-cost multispectral imaging approach combined with powerful cloud-based machine learning algorithms.
Precision agriculture augmented by multispectral imaging from drones is one possible way to boost this important element of US productivity. Currently commercial drones are primarily produced outside the US, and it is likely that agriculture-related multispectral imaging and diagnostic software capabilities will follow and put our country at a competitive disadvantage. Further, today's high cost of multispectral imaging sensors and limited means to drive this data to productive action recommendations for farmers is blocking US agricultural performance growth.
Our Agricultural Drone project will address these challenges by developing a crop diagnostic action recommendation system using a new low-cost multispectral imaging approach combined with powerful cloud-based machine learning algorithms.
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