Shield AI pricing

About

Shield AI is a San Diego defense-technology company founded in 2015 by former Navy SEAL Brandon Tseng, his brother Ryan Tseng, and Andrew Reiter. Its mission, in the company’s words, is “to protect service members and civilians with intelligent systems,” and its central technical asset is Hivemind — an AI “pilot” that flies aircraft autonomously without GPS, comms, or a remote operator. Hivemind powers Shield AI’s own platforms and is also sold as software to others.

The product line spans three things, none of which carries a public price:

• Hivemind — the autonomy software / “AI pilot” stack. Hivemind Enterprise packages it as a developer platform (an “autonomy factory,” production-ready middleware, an autonomy catalogue, and mission control) that OEMs, governments, and companies license to build their own autonomous systems.
• V-BAT — a vertical-takeoff-and-landing (VTOL) fixed-wing ISR/strike drone, combat-validated in Ukraine (Shield AI cites 130+ sorties and 200+ targets identified through GPS/comms jamming) and bought by the U.S. and allied governments.
• X-BAT — an in-development AI-piloted VTOL combat jet, plus a “Foundation Model for Defense” that the company is building with simulation data.

Shield AI is heavily venture-backed and scaling fast: it raised $240M at a $5.3B valuation in March 2025 to commercialize Hivemind Enterprise, then $2B — a $1.5B Series G led by Advent International plus $500M in preferred equity — at a $12.7B post-money valuation in March 2026, roughly doubling its valuation in a year, while concurrently acquiring defense-simulation firm Aechelon Technology.

Crucially for a pricing blueprint: Shield AI publishes no pricing of any kind. The website (shield.ai) exposes Products, Company, News, and Careers, with a single commercial call-to-action — “Contact Sales” / “Schedule a demonstration.” There is no plan grid, no per-unit rate card, and no self-serve checkout; shield.ai/pricing returns a 404. That is not an omission — it is how defense works. Revenue is shaped by government procurement contracts (IDIQ, firm-fixed-price, Contractor-Owned-Contractor-Operated services) and OEM/enterprise licensing, both negotiated per program and per country. So this page documents what is honestly known — the company, its funding, its public contract awards, and its sales-led commercial posture — rather than inventing a list price the company has never published.

Pricing summary : a sales-only defense company priced by contract

Shield AI runs a sales-led, no-public-price commercial model, characteristic of defense procurement. There is no subscription tier, no published per-unit drone price, and no self-serve license to evaluate. The dimensions, such as they can be observed, are:

• Defense & government contracts — the revenue core. Capability is sold through negotiated vehicles: indefinite-delivery/indefinite-quantity (IDIQ) awards, firm-fixed-price contracts, and Contractor-Owned-Contractor-Operated (COCO) services. The clearest public example is a $198,106,876 U.S. Coast Guard IDIQ for V-BAT maritime ISR delivered as a service.
• Hivemind Enterprise (licensed) — the autonomy developer platform, licensed to OEMs, governments, and companies. No per-seat, per-platform, or per-deployment rate is published; terms are quoted via sales.
• V-BAT & X-BAT hardware — aircraft sold or fielded under contract. Third-party defense reporting puts a V-BAT in the mid-six-figure to roughly $1M-per-aircraft range, but Shield AI itself publishes no unit price; the dollar figures that exist are contract awards, not a list.

What makes this different: unlike sales-led AI labs such as Essential AI — which at least give away open artifacts — Shield AI’s opacity is driven by defense procurement and export control, not just go-to-market preference. The price you can read is none; the price a customer pays is whatever a program-specific, often classified, contract negotiation produces. For how pricing changes when the buyer is a government rather than a developer, see usage-based pricing fundamentals.

Pricing by product

Sales motions across products: fully sales-led. Every revenue-bearing surface is quoted through “Contact Sales” / “Schedule a demonstration” and closed as a negotiated contract or license. There is no self-serve motion and no published SKU anywhere on the site.

Hidden costs : What Shield AI customers actually pay

Because Shield AI publishes no price, the “real bill” question is entirely a function of the contract — and defense contracts bundle far more than a unit of hardware.

The contract is the cost. A V-BAT engagement is rarely “buy N drones.” The public U.S. Coast Guard example is a COCO (Contractor-Owned-Contractor-Operated) ISR services contract — Shield AI owns and operates the aircraft and sells the intelligence output, so the customer is paying for crews, maintenance, ground stations, data links, training, and sustainment over the contract’s life, not a sticker price per airframe. The hidden cost here is everything around the platform: lifecycle sustainment, integration, and the multi-year services tail.

Licensing Hivemind Enterprise adds a different unknown. A platform licensed to OEMs and governments will carry integration, certification, and program-specific engineering costs that dwarf any nominal license fee — and because no rate is published, a prospective buyer cannot estimate any of it without a program-level conversation.

Want to think through how a capability-as-a-service deal differs from a per-unit purchase? There’s no published Shield AI rate to plug in, but you can sketch scenarios with the Shield AI pricing calculator, and for the broader question of metering outcomes vs. units see choosing the right usage metric.

Pricing evolution : Shield AI pricing history and changes

Shield AI has never had a public price to change. Its “pricing evolution” is really a commercial-posture evolution: a SEAL-founded autonomy startup that grew into a contract-winning defense prime, then a platform licensor — all while keeping every dollar figure inside a contract or a funding announcement. The milestones below are reconstructed from primary announcements and a live 2026-06-14 site check.

Cadence

Tracked range: 2024 Q3–2026 Q2. Zero public price changes across the company’s life — there has never been a published price to revise. Quarters not listed had no relevant public pricing event.

Notable changes

• 2024-07-01 — V-BAT selected for a $198,106,876 U.S. Coast Guard IDIQ firm-fixed-price contract for COCO maritime ISR services — the clearest public window into the contract-as-pricing model (Shield AI / PRNewswire).
• 2025-03-06 — $240M at a $5.3B valuation to scale Hivemind Enterprise, a licensed autonomy developer platform; V-BAT Ukraine combat validation (130+ sorties, 200+ targets) publicized. No license rate card published (Shield AI / TechCrunch).
• 2026-03-26 — $2B raised ($1.5B Series G led by Advent International + $500M preferred from Blackstone) at a $12.7B valuation; acquires simulation firm Aechelon; funds X-BAT and a Foundation Model for Defense (Shield AI / BusinessWire).
• 2026-06-14 — Live check confirms no public pricing: shield.ai/pricing 404s; the only commercial CTA is “Contact Sales” / “Schedule a demonstration.”

What’s unique : Shield AI’s distinctive pricing mechanics

1. The price is a contract, not a rate card. Where SaaS companies anchor on a published per-seat or per-token rate, a defense company’s “price” is a negotiated procurement vehicle — IDIQ, firm-fixed-price, COCO services — that bundles hardware, software, operators, sustainment, and data over years. Shield AI’s public dollar figures (a $198M Coast Guard award, funding rounds) are contracts and capital events, never list prices. The unit of sale is mission capability, not a drone.

2. Capability-as-a-service, not just hardware. The Coast Guard deal is COCO: Shield AI owns and operates V-BAT and sells the ISR output. That reframes the economics from “how much does a drone cost” to “how much does an hour of contested-airspace intelligence cost” — a recurring-services model wrapped in a defense contract. For the broader shift toward selling outcomes over units, see outcome-based pricing trends.

3. Software margin behind a hardware story. Hivemind Enterprise is the lever that turns a drone company into a platform licensor: license the autonomy to OEMs and governments and the revenue scales beyond Shield AI’s own airframes. But the license terms are entirely off-page — like Essential AI, the highest-margin layer is the one with no published price, kept inside a sales conversation precisely because each program is bespoke.

Strengths & weaknesses

Billing UX : Shield AI billing controls and transparency

• Billing controls — None are public. There is no self-serve dashboard, usage meter, or plan-management UI; commercial terms are handled through procurement and contract administration, not a billing portal.
• Usage visibility — Not applicable in a SaaS sense. For COCO services, “usage” is mission delivery measured against contract terms (sorties, coverage, availability), tracked program-side, not in a public console.
• Payment options — Government contract terms (milestone/progress payments, firm-fixed-price draws, IDIQ task orders). No card checkout or self-serve invoicing exists.
• Transparency — Deliberately and structurally low: defense procurement and export control make a public rate card neither possible nor desirable. The transparency that exists lives in published contract awards, not prices.

Strategic wins : Why Shield AI’s pricing decisions worked

1. Sell capability as a service, not airframes

The $198M Coast Guard COCO contract shows the model’s power: instead of selling a fixed number of drones once, Shield AI sells ongoing ISR capability and owns the platform. That converts a hardware sale into a recurring, sustainment-rich services relationship — exactly the kind of metering-the-outcome move covered in usage-based pricing strategy, translated into defense.

2. Validate in combat, then let the proof do the selling

By publicizing V-BAT’s Ukraine record (operating through GPS and comms jamming where others can’t), Shield AI anchors enterprise/government conversations on demonstrated capability rather than a price-performance table. In defense, proof-of-survival in a contested environment is worth more than any published rate — and it keeps the negotiation on value, not cost.

3. Turn the autonomy into a licensable platform

Hivemind Enterprise lets Shield AI monetize beyond its own aircraft by licensing autonomy to OEMs and governments. That’s the high-margin software layer — and keeping its terms off the price page protects negotiating leverage program by program, much as other AI companies are rethinking what they meter.

Areas to improve : Gaps in Shield AI’s pricing approach

1. Give Hivemind Enterprise a self-qualifying on-ramp

For a developer platform aimed at OEMs and companies, total opacity is a friction tax. A published licensing structure (per-platform? per-deployment? per-developer-seat?) — even without dollar figures — would let the robotics and drone industrial base self-qualify instead of every prospect needing a program-level sales call.

2. Distinguish the commercial/dual-use path from the classified one

Some of Shield AI’s addressable market (commercial drone OEMs, allied-government developers) doesn’t need the full classified-procurement treatment. A clearer public lane for non-classified Hivemind licensing would reduce evaluation friction for buyers who can’t justify a defense-prime sales motion. Total opacity invites the same cost-unpredictability anxiety that slows any enterprise deal.

3. Make the services economics legible

COCO/ISR-as-a-service is a genuinely modern model, but its cost drivers (availability, sorties, sustainment) are invisible publicly. Articulating how a services contract is structured — even abstractly — would help prospective government buyers understand what they’re underwriting, the way priced peers stage enterprise transparency.

Key takeaways

1. In defense, the price is a contract. Shield AI publishes no list price because procurement runs on negotiated vehicles (IDIQ, firm-fixed-price, COCO services), export controls, and program specifics. The public dollar figures are contract awards and funding rounds — never a rate card.
2. Capability-as-a-service beats unit sales. The $198M Coast Guard COCO contract sells ISR output, not airframes — a recurring, sustainment-heavy services model that captures far more than a one-time hardware price.
3. Combat validation is the value metric. V-BAT’s Ukraine record (130+ sorties, 200+ targets through jamming) is what Shield AI leads with — proof of capability in a contested environment substitutes for a published price-performance table.
4. The software layer is the hidden margin. Hivemind Enterprise licensing scales beyond Shield AI’s own platforms, and — like the highest-margin layer at many AI companies — it carries no public price, kept bespoke per program.
5. Opacity here is structural, not strategic. Unlike a SaaS company choosing to hide a rate, a defense company cannot publish one — pricing varies by mission, quantity, country, and contract vehicle, so every engagement is quoted.

UBP implications

1. Match transparency to the buyer, not just the product. When the customer is a government and the deliverable is classified, program-specific capability, a public rate card is impossible — and a contract is the pricing model. UBP practitioners should recognize that some markets meter and quote at the program level by necessity, not preference.
2. Outcome-as-a-service can wrap a hardware business. Shield AI’s COCO model shows a manufacturer converting one-time airframe sales into recurring intelligence-services revenue. The lesson for UBP designers: the unit of value (an hour of contested-airspace ISR) can be very different from the unit of production (a drone).
3. The high-margin layer is the one you don’t publish. Across Essential AI, Physical Intelligence, and Shield AI, the software/autonomy layer carries no public price while the hardware or artifacts are more visible. UBP teams should decide deliberately which layer is the priced product and which is the funnel — and why each is or isn’t shown.

Sources

• Shield AI — official site (no pricing page; “Contact Sales” CTA) (accessed 2026-06-14)
• Shield AI raises $240M at a $5.3B valuation to scale Hivemind Enterprise (accessed 2026-06-14)
• Shield AI raises $240M at a $5.3B valuation to commercialize its AI drone tech (TechCrunch) (accessed 2026-06-14)
• Shield AI’s V-BAT selected for $198M U.S. Coast Guard contract (PRNewswire) (accessed 2026-06-14)
• Shield AI to acquire Aechelon and raise $2B at a $12.7B valuation (BusinessWire) (accessed 2026-06-14)
• BRIEFER: Shield AI V-BAT (Defense Security Monitor) — third-party unit-cost reporting (accessed 2026-06-14)
• Browse the pricing blueprint corpus

Bottom line

Shield AI is the defense-procurement archetype of a sales-only page: a $12.7B-valued, SEAL-founded autonomy company whose products — Hivemind’s “AI pilot,” the combat-validated V-BAT drone, and the in-development X-BAT jet — carry no public price at all. shield.ai/pricing is a literal 404, and the only CTA is “Contact Sales.” That isn’t evasiveness; it’s how defense works. Revenue is shaped by negotiated government contracts (a $198M U.S. Coast Guard IDIQ for V-BAT ISR-as-a-service is the clearest public window) and by licensing Hivemind Enterprise to OEMs and governments. The only public dollar figures are contract awards and funding rounds — capability and combat proof do the selling, while every actual price lives inside a program-specific, often classified, negotiation.

Want to compare Shield AI against other sales-only physical-AI peers? See Essential AI and Physical Intelligence, or browse the full pricing blueprint.