Scan data used to create a digital twin of the aircraft, noting
any anomalies or potential damage
Proprietary machine learning models are utilized to detect,
classify, and measure a variety of different types of damage,
including holes, dents, scratches/tears, and corrosion.
Allows for faster turn around on grounded aircraft, as well as
a reduction of manpower needed.
3D navigation and mapping capabilities allow for operation in dynamic environments, including outdoors and indoor
hangars
Sales process - Defense Aviation
Looking into federal Markets
Looking at agency’s that we could be servicing (intel, otherwise)
Vertical analysis:
NAISC - North American Information Classification system
Determine which codes are going to fall into
Look at top 20 agency’s/entities that are responsible for our NAICS code:
Understand spending and NAISC codes ( to understand if its worth our time, effort, and energy to pursue)
There are seasons that DoD does not market (Calendar quarter 2/4 are frozen for funds)
Break down large and small business vendors to understand competition.
Can also partner with these competitors as a sub.
Look at Forecasting spending for 2024
Hire someone that does this for a living
Understand concentration of efforts
NASA SEWP 6- contracting vehicle
200k individual task order, totalling 50B in contract obligations
Fastest vehicle, and no sign of slowing down
Looking at anticipated procurement pipeline
GWACS - Government wide acquisition system
market vertical overview needs to happen
Total value awarded by the fed was $53B, 12% increase from last year.
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