SBIR/STTR Research Award

Application of Commercially Developed, Digital Engineering Software and Autonomy Development Ecosystem to Air Force Programs with Specific Use Cases

Award identifier 6e92b0366c8d9afe79e053615054285c37f529bffcf3bd44290197086c20ed43Awarding agency Department of Defense · Air Force

Award amount

$74,148

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
VOLAIR TECHNOLOGIES INC.
Proposal award date
2024-05-10
Contract end date
2024-08-19
UEI
K24SELN3G8A9
Solicitation number
X24.5
Topic code
AFX245-PCSO1

Research abstract

Modern warfare demands advanced intelligence perception technologies on-board the Air Force’s fleet of aircraft.  From fighters to tankers to UAVs, operational capabilities spanning simplified flight operations (SFO), optionally piloted aircraft (OPA) to full autonomy and manned/unmanned teaming are critical to the next generation of aerial combat and logistics.  Many of these ideas are central to advanced capabilities of the Digital Century Series concept and related Next Generation Air Dominance and Collaborative Combat Aircraft (CCA). The enabling technologies require cutting edge software and artificial intelligence (AI) solutions that are often expensive and slow to develop.  To accelerate the development and adoption of these technologies, VTI has built an aerospace-specific ecosystem, FlightStack, for development of complex, data-driven perception systems across commercial and defense aerospace applications.  FlightStack is a digital engineering solution that integrates and orchestrates core software building blocks across data management, simulation and sensor modeling, algorithm training and testing, and workflow automation to rapidly accelerate development of new airborne perception functions, from requirements generation through field deployment.  VTI has successfully leveraged FlightStack to develop a variety of aerospace capabilities with commercial partners including 1) Machine learning (ML) augmentation to enhanced vision system (EVS) that automatically detects and annotates key features of the terminal area (i.e. runways), other aircraft traffic, ground and terrain obstacles, and other fixed features of interest. 2) Emergency landing zone identification and assessment. 3) Execution of complex unmanned missions such as landing on large vessels at sea. 4) Vertiport operations with mixed manned/unmanned vehicles. 5) Runway surface taxi and takeoff automation. VTI is engaged with many additional customers across a variety of aerospace applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2024–2025). Reported award amounts total $1,261,044. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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