Private markets
Defense & Autonomy · Autonomous Aircraft

Shield AI

Builds autonomous aircraft and AI piloting software for contested environments.

Research status
Research coverage
Headquarters
San Diego, CA
Coverage
4 product lines mapped
Last reviewed
September 2026
Product map

What the company builds

Products and operating platforms help connect company-level news to the revenue pools, customers, competitors, and supply chains it may affect.

01

Hivemind

AI pilot software for autonomous aircraft.

02

V-BAT

Vertical-takeoff autonomous aircraft.

03

X-BAT

AI-piloted vertical-takeoff combat aircraft program.

04

Nova

Small autonomous unmanned aircraft system.

01 / THE BUSINESS

How Shield AI creates value.

Aircraft and autonomy software serve defense customers and mission operators. Software adoption across platforms offers a different economic model from manufacturing and servicing aircraft.

SectorAerospace & defense
Founder coverage2 profiles
Research checkedSep 18, 2026

02 / PEOPLE BEHIND THE COMPANY

Meet the builders.

Co-founder

Brandon Tseng

Brandon Tseng is a co-founder of Shield AI. The company’s founding and leadership material provides context for its work in autonomous aircraft.

Explore founder

Co-founder

Ryan Tseng

Ryan Tseng is a co-founder of Shield AI. The company’s founding and leadership material provides context for its work in autonomous aircraft.

Explore founder

Selected founders; historical founding roles are distinct from current management positions.

03 / CAPITAL & OWNERSHIP

Follow the financing.

Selected disclosed events, newest first. Announcement values describe that transaction and date; they are not current share prices. Debt, equity and secondary transactions are identified separately.

A financing figure is not established here.

Use the original company sources below to check new announcements. We have not substituted an estimate for a disclosed round.

04 / IN THEIR OWN WORDS

Watch. Listen. Form your view.

Interviews reflect the speaker’s perspective at publication. Company statements are not independent verification.

05 / EDITORIAL ANALYSIS

The opportunity. The open questions.

Our interpretation of the business model and cited sources, not a valuation or a recommendation.

What could work

The case to investigate

  • Autonomy software that may operate across multiple aircraft platforms.
  • A stronger product position becomes economically meaningful when customers renew, expand and pay enough to cover delivery costs.
What could go wrong

Pressure-test the thesis

  • Technical validation.
  • Government-customer concentration.
  • Hardware execution.

What to watch next

01

Operational deployments — what changed in the latest original disclosure?

02

Aircraft program progress — what changed in the latest original disclosure?

03

Hivemind platform adoption — what changed in the latest original disclosure?

YOUR RESEARCH WORKSPACE

Keep the questions that matter.

Use this checklist to record what you have investigated. Your notes stay in this browser.

06 / RESEARCH TRAIL

Go straight to the source.

Research checked Sep 18, 2026. Selected public disclosures, not a complete capitalization table or securities-filing search. Missing information is left unconfirmed. No investment availability or IPO date is implied.

Why SMYC is watching

Autonomy software that may operate across multiple aircraft platforms.

Private-company information is incomplete, episodic, and difficult to verify. Treat every data point as a starting point for diligence—not a substitute for company-approved materials, legal review, or investment analysis.

Add to my private current

Signals to monitor

Operational deploymentsAircraft program progressHivemind platform adoption

Risks to underwrite

Technical validationGovernment-customer concentrationHardware execution
Underwriting map

What an investor should actually diligence

Separate prototypes, funded development, production awards, and recurring software or sustainment. Contract ceilings are not revenue; production capacity and program-of-record status drive durability.

Buyer map

01

U.S. Department of Defense

02

Allied defense ministries

03

Prime contractors

04

Critical-infrastructure operators

Economics to request

01

Funded backlog versus contract ceiling

02

Program and customer concentration

03

Hardware gross margin at rate production

04

Working-capital and facility requirements

05

Software, service, and sustainment mix

Moat tests

01

Systems perform in operational conditions

02

Production scales without quality erosion

03

Open architecture wins repeat integrations

04

Procurement relationships convert into repeat programs

Milestone map

01

Operational deployment

02

Production contract

03

Facility and throughput expansion

04

New program or allied customer

Comparable lensesDefense primesAutonomous systemsMission softwareSpecialized sensors and effectors
Underwriting framework

How to diligence Shield AI

A company-specific starting point based on the operating realities of defense & autonomy. Replace assumptions with verified company materials, customer evidence, legal documents, and expert work.

Economics to model
01

Funded backlog versus total ceiling

02

Prototype-to-production conversion

03

Unit economics at production rate

04

Customer and program concentration

Evidence of proof
01

Operational deployment

02

Program-of-record status

03

Repeat orders and allied adoption

04

Production capacity with qualified suppliers

Comparable lenses
01

Defense primes

02

Specialized electronics providers

03

Uncrewed-system manufacturers

04

Government software platforms

Questions to answer
01

Can the company survive procurement timing?

02

What remains human-controlled?

03

Which export restrictions limit the market?

04

Does autonomy work in contested conditions?

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