SBIR/STTR Research Award

Enhanced Denied Area Planning with GlobalVO

Award identifier 0c80344b1545d570a8303c162ec6ccb736397f7ba85dd050d01c040a1d2b3ff9Awarding agency Department of Defense · Air Force

Award amount

$1,249,973

Program and phase

SBIR · Phase II

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
FOUNDATION STACK AI INC
Proposal award date
2025-09-25
Contract end date
2027-06-24
UEI
YH5VGCNHCGK3
Solicitation number
X24.7
Topic code
AFX247-PCSO1

Research abstract

The proliferation of man-made vertical obstructions (VOs) poses a critical and evolving threat to the U.S. Air Force (USAF) and its interests, particularly as near-peer adversaries such as Russia, China, and Iran exploit these hazards to degrade American airpower and operational agility. In regions like the Indo-Pacific, adversaries rapidly construct dense networks of communication towers, power lines, and other infrastructure, creating complex, undocumented obstacle environments that significantly increase the risk to low-flying aircraft. These adversaries understand that the U.S. currently relies on outdated, labor-intensive processes for VO detection—processes that can take months to produce actionable data, leaving American forces vulnerable to surprise, collision, and mission failure. The consequences of this capability gap are stark: in September 2023, an Army AH-64E Apache helicopter crashed into high-voltage transmission lines in Washington state, resulting in injuries, a destroyed $13 million aircraft, and a wildfire, all of which could have been prevented with timely, accurate VO data. The Department of Defense’s current planning cycle for VO identification often takes 4–6 months, a delay that adversaries can—and do—exploit to their advantage, particularly in urbanized or rapidly changing environments where VOs are constantly evolving. Foundation Stack AI, Inc. directly addresses this urgent operational challenge with its innovative GlobalVO™ platform, a breakthrough solution that leverages advanced artificial intelligence and human-machine teaming (HMT) to automate the detection, extraction, and management of VOs worldwide. Unlike traditional methods, GlobalVO™ can scan and identify obstructions as small as 20 feet tall across entire countries in just hours, reducing time to detection by 99.99% and operating at speeds 8,000 times faster than manual workflows. The platform’s 90%+ accuracy rate and automated refresh capabilities ensure that military planners, aviation teams, and drone operators receive the most current and comprehensive VO data available, dramatically enhancing situational awareness and mission safety. This technology has already delivered quantifiable value to both defense and commercial customers: for example, in support of the 160th Special Operations Aviation Regiment (SOAR), GlobalVO™ identified approximately 110,000 VO features across a 20,341 km˛ area in Sudan in just 30 minutes—a task that would have required nearly a year of human analyst effort using legacy systems. Foundation Stack AI’s solution is not only revolutionizing military mission planning but also providing transformative value to commercial aviation, UAS route planning, and infrastructure mapping, establishing a new standard for speed, accuracy, and operational impact in the VO data domain.

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 (2025). Reported award amounts total $1,324,956. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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