
Shield AI
Founded Year
2015Stage
Series F - III | AliveTotal Raised
$1.311BValuation
$0000Last Raised
$240M | 4 mos agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+37 points in the past 30 days
About Shield AI
Shield AI specializes in artificial intelligence for aviation, focusing on developing autonomous artificial intelligence (AI) pilots for various aircraft within the defense technology sector. The company's flagship product, Hivemind, enables drones and aircraft to operate autonomously without the need for global positioning systems (GPS), communications, or human pilots and is designed to adapt and react to dynamic environments in both military and commercial settings. It was founded in 2015 and is based in San Diego, California.
Loading...
Shield AI's Product Videos


ESPs containing Shield AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The autonomous flight software & systems market focuses on technologies and platforms that enable aircraft to operate without human intervention. This market includes solutions such as commercial drones, military unmanned aerial vehicles (UAVs), urban air mobility solutions, and autonomous cargo delivery systems. Key technologies driving this market include advanced sensors, artificial intelligenc…
Shield AI named as Leader among 15 other companies, including Applied Intuition, Altitude Angel, and Palladyne AI.
Shield AI's Products & Differentiators
Hivemind
Shield AI’s stand-out product is Hivemind, an autonomy and artificial intelligence stack for military and commercial aircraft, designed from the ground up to be multi-role, multi-vehicle. Simply put, it is self-driving technology for aircraft. Hivemind enables swarms of aircraft to maneuver fully autonomously on the edge in high threat, GPS and communication degraded environments. It uses state-of-the-art path-planning, mapping, state-estimation, and computer vision algorithms, combined with reinforcement learning and simulations, to train unmanned systems to execute a variety of missions – from infantry clearance operations to breaching integrated air defense systems with unmanned aircraft.
Loading...
Research containing Shield AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Shield AI in 2 CB Insights research briefs, most recently on Apr 10, 2025.

Apr 10, 2025
AI GI Joe: Defense tech goes on the offensive
Aug 14, 2024
The AI in defense tech market mapExpert Collections containing Shield AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Shield AI is included in 8 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,278 items
Robotics
2,703 items
This collection includes startups developing autonomous ground robots, unmanned aerial vehicles, robotic arms, and underwater drones, among other robotic systems. This collection also includes companies developing operating systems and vision modules for robots.
AI 100 (All Winners 2018-2025)
499 items
Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.
Game Changers 2018
70 items
Aerospace & Space Tech
3,280 items
These companies provide a variety of solutions, ranging from industrial drones to electrical vertical takeoff vehicles, space launch systems to satellites, and everything in between
Defense Tech
1,059 items
Defense tech is a broad field that encompasses everything from weapons systems and equipment to geospatial intelligence and robotics. Company categorization is not mutually exclusive.
Shield AI Patents
Shield AI has filed 4 patents.
The 3 most popular patent topics include:
- 3d imaging
- biometrics
- computer network security

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
1/16/2019 | 4/14/2020 | Maintenance, Huawei mobile phones, Cooling technology, Automation, Mechanical engineering | Grant |
Application Date | 1/16/2019 |
---|---|
Grant Date | 4/14/2020 |
Title | |
Related Topics | Maintenance, Huawei mobile phones, Cooling technology, Automation, Mechanical engineering |
Status | Grant |
Latest Shield AI News
Jun 21, 2025
AI-Powered MQ-20 Avenger Achieves First Simulated Air-to-Air Kill Like Read Time: min The second test of the MQ-20 Avenger with Shield AI’s autonomy software saw the UCAV conducting more complex missions with both live and virtual aircraft. A “first-of-its-kind” test of a General Atomics-Aeronautical Systems, Inc (GA-ASI) MQ-20 Avenger using Shield AI’s Hivemind autonomy software program, conducted on Jun. 11, 2025, saw the Unmanned Combat Aerial Vehicle (UCAV) completing a “simulated autonomous shootdown,” a GA-ASI release said. During this second test, GA-ASI mentioned the MQ-20 Avenger was part of an “exercise involving multiple live and virtual aircraft,” with Shield AI adding that the UCAV’s digital twin was also involved. In a previous series of tests, part of the Air Force Test Center’s all-domain test series called Orange Flag 25-1 at Edwards AFB, California, there was the demonstration of the Hivemind’s ability to control the MQ-20 autonomously. This was in addition to testing for the compatibility with U.S. government mandated software architecture and switching between the Hivemind and the state-owned system/program. Shield AI’s Hivemind was also the same AI “pilot” or “agent” controlling the autonomous X-62A VISTA that flew former Secretary of the Air Force Frank Kendall in 2024. GA-ASI completes first-of-its-kind test involving MQ-20 Avenger® and multiple aircraft that included a successful simulated autonomous shoot-down.https://t.co/D9w1vKpYsM #UAS #UCAV #PAS2025 #ParisAirShow pic.twitter.com/4IGnGnldIM — General Atomics Aeronautical Systems, Inc (GA-ASI) (@GenAtomics_ASI) June 17, 2025 Shield AI in its statement describes Hivemind as an “AI-powered autonomy software” enabling “unmanned systems to conduct complex missions in GPS- and comms-denied environments,” through “modular integration, operator confidence, and multi-platform deployment.” “Hivemind delivers mission autonomy with proven adaptability and tactical relevance,” the company’s statement said. Additional information on the type of tactical scenario, whether it was a pilotless target drone, how it was detected, its distance and bearing has not been mentioned by either company. Mission autonomy. Live-virtual-constructive. Powered by Hivemind. In our latest #MQ20 Avenger flight with @GenAtomics_ASI , Hivemind flew both the live #aircraft and its digital twin—executing real combat maneuvers in a live-virtual op. “Readiness means flying today, not… pic.twitter.com/TcPIJZS54C February test Shield differentiated between Feb. 2025’s first flight test of the Hivemind-enabled MQ-20 Avenger UCAV, during Orange Flag 25-1 exercise, and the June tests: “While the February flight focused on basic administrative tasks using a command-line interface (CLI), the June test demonstrated tactical skills such as formation flying and combat air patrol maneuvers, using A-GRA-compliant mission planning software.” This testing in “complex, LVC mission environments,” accelerates the “path to scalable, operational autonomy.” About the latest test, Shield AI said Hivemind commanded and connected both a live MQ-20 and its digital twin “executing coordinated tasks across physical and virtual aircraft in a blended mission scenario.” This established the elementary teaming tactic in aerial warfare, where one platform detects a threat while the other engages it. Shield AI also said the “autonomy software connected seamlessly with C2 (Command and Control) and edge systems for real-time execution,” indicating manned ground control monitored the UCAV’s behaviour. The MQ-20 Avenger during a test flight. (Image credit: GA-ASI) A feature of the earlier test, beside the successful demonstration of the Hivemind autonomy software, was also the MQ-20 Avenger flying with some mandated “Autonomy Government Reference Architecture (A-GRA)-compliant interfaces.” A-GRA is a Department of Defense (DoD) framework designed to enhance interoperability across autonomous military platforms, and future work will include “updates to achieve full A-GRA compliance and further strengthen cross-platform autonomy,” Shield AI’s release said at the time. Another state-owned software that figured in the February test was the “government-provided autonomy software” (or “reference autonomy stack”) received by the MQ-20 Avenger, demonstrating “autonomous flight operation capabilities focused on conducting air-to-air engagements,” GA-ASI’s release said. The Shield AI stack, meanwhile, “demonstrated autonomy skills for safe administrative phases of flight.” The flights proved that GA-ASI aircraft can “quickly go from company-written software, to government-provided, to other vendors’ software as needed.” June test The latest exercise saw the MQ-20 Autonomous Collaborative Aircraft demonstrating being able to “marshal; do dynamic midair station-keeping with several real aircraft; patrol a simulated combat area; make decisions autonomously; team with human command-and-control; and intercept two live aircraft autonomously – resulting in a simulated successful missile shot against the live targets.” The “live-on-live” event using representative Group 5 unmanned aerial vehicles (UAVs) proved how mature autonomy is today for future platforms. Autonomous flight – delivered at record speed. Through rapid development and integration, GA-ASI continues to prove speed to flight during a recent demonstration of @ShieldAItech AI-powered autonomy software aboard our MQ-20 Avenger®. Learn more: https://t.co/d4F20WVnE8 pic.twitter.com/AALMWFqitJ — General Atomics Aeronautical Systems, Inc (GA-ASI) (@GenAtomics_ASI) March 4, 2025 In a video showing the company-owned MQ-20 Avenger, tail number N903PC, technical program manager Abigail Francis said that the live MQ-20 didn’t know the virtual MQ-20 wasn’t real. “This event reflects the kind of interoperability and adaptability we believe is essential for future autonomy efforts,” said Michael Atwood, Vice President of Advanced Programs at GA-ASI. “Being able to rapidly integrate and test autonomy elements from multiple vendors helps ensure the most effective capabilities are available to the warfighter, regardless of origin.” The Jun. 11 test also saw the MQ-20 Avenger conducting a “mid-flight transition” from the government-provided suite of software to Hivemind for “a similar mission profile […] without affecting aircraft stability or mission continuity.” Beside demonstrating how standardized reference architectures “are streamlining hardware and software integration, even from different vendors,” this also “allows the government to incorporate capabilities from a broad vendor ecosystem without being tied to any single supplier,” the GA-ASI release said. Vice president of Hivemind Solutions Christian Gutierrez said in a company release: “We’re lowering the risk for fielded autonomy and proving that scalable, mission-ready autonomy is already here.” GA-ASI is at the forefront of advancing autonomy. The #GambitUAS series of uncrewed collaborative aircraft are modular, tailorable and affordable. Enabled by our expertise in software, control systems and human-machine interfaces, there’s a variant for every mission.… pic.twitter.com/4IfO9GA3li — General Atomics Aeronautical Systems, Inc (GA-ASI) (@GenAtomics_ASI) June 17, 2025 Tactical use The autonomy for complex missions such as an air-to-air role is also concurrent with the U.S. Air Force moving to incorporate Collaborative Combat Aircraft (CCA) in its fleet, with GA-ASI’s YFQ-42A being one of two chosen models, and the other being Anduril’s YFQ-44A. The collaboration with Shield AI can certainly be considered a parallel effort to refine autonomy software while CCAs begin test flights. GA-ASI has already described Avenger as “a jet-powered UAS used extensively as a test bed for future Autonomous Collaborative Platforms.” Depending upon how the CCA performs and the results drawn by the USAF, the Hivemind software can be installed onto the existing YFQ-42A, or the Increment 2 designs. Many air-to-air situations do not involve complex decision-making requiring sentient and contextual reasoning. The MQ-20 Avenger. (Image credit: General Atomics Aeronautical Systems) Scenarios like enforcing air denial that need merely firing an AAM onto a hostile target, differentiated by an unfamiliar radar signature and possibly negative indications on an Identification Friend or Foe (IFF) interrogations, can easily be undertaken by UAVs. This becomes even more viable if the air force has other supporting assets like Generation 4, 4.5 and 5 aircraft, Airborne Early Warning and Control (AEW&C) and satellites.
Shield AI Frequently Asked Questions (FAQ)
When was Shield AI founded?
Shield AI was founded in 2015.
Where is Shield AI's headquarters?
Shield AI's headquarters is located at 600 West Broadway, San Diego.
What is Shield AI's latest funding round?
Shield AI's latest funding round is Series F - III.
How much did Shield AI raise?
Shield AI raised a total of $1.311B.
Who are the investors of Shield AI?
Investors of Shield AI include Andreessen Horowitz, US Innovative Technology Fund, Washington Harbour Partners, Booz Allen Hamilton, L3Harris and 18 more.
Who are Shield AI's competitors?
Competitors of Shield AI include Helsing, Anduril, Accrete, Reflection AI, Picogrid and 7 more.
What products does Shield AI offer?
Shield AI's products include Hivemind and 2 more.
Loading...
Compare Shield AI to Competitors

Helsing operates as a defense company specializing in the integration of artificial intelligence with traditional military hardware. The company offers solutions that provide information processing and analysis to support defense operations. Helsing's products aim to convert sensor data into intelligence for military and government use. It was founded in 2021 and is based in Munich, Germany.

Anduril is a defense technology company focused on military capabilities with autonomous systems. The company offers products including command and control systems and mission autonomy solutions for security across land, sea, and air. Anduril serves the defense sector, providing technology for intelligence and surveillance. It was founded in 2017 and is based in Costa Mesa, California.

Second Front Systems (2F) fast-tracks government access to software-as-a-service (SaaS) applications for national security missions. Its platform provides features such as visualization of all apps and their statuses, details of security and release pipelines, and the ability to view applications' vulnerabilities. The company was founded in 2014 and is based in Wilmington, Delaware.

CX2 operates as a defense technology company that develops hardware and software platforms to detect, disrupt, and defend the electromagnetic spectrum for military applications. The company provides solutions for the defense sector, particularly in the areas of unmanned systems and electronic warfare. It was founded in 2024 and is based in El Segundo, California.

Vannevar Labs focuses on defense technology and strategic competition within the national security and defense sectors. The company develops software and hardware to support non-kinetic and intelligence missions, including new intelligence collection methods, maritime domain awareness, and tools to counter foreign disinformation campaigns. Vannevar Labs primarily serves sectors related to national security and defense. It was founded in 2019 and is based in Palo Alto, California.

Rebellion offers advanced software for the defense and national security sector. It offers products that provide real-time entity identification and tracking for complex threat environments, as well as tools to understand and emulate global cyber threats. It primarily serves mission-critical organizations within the defense industry. It was founded in 2019 and is based in Washington, DC.
Loading...