american-autonomy-inc

What Most Drone Manufacturers Are Missing About their Operating Platform

Tue, 21 Apr 2026 20:49:03 GMT

Most drone manufacturers believe they have a complete operating platform. Here's what's actually missing — and why it determines whether operators adopt your system or abandon it.

Most drone manufacturers sincerely believe they have a commercial drone operating platform: They have an autopilot and firmware. They have a ground control station. They have a pilot who can run test flights. What they don't yet have is the software layer that turns a capable aircraft into a system operators will actually rely on for work.

From a technical standpoint, that’s enough to get a drone airborne. But user adoption and loyalty — and commercial success — requires a lot more.

A drone that is capable of flight isn’t the same thing as a drone that people will rely on for work.

The Standard Has Already Been Set

Aircraft performance may be the most important factor, but it’s also table stakes.

The drone industry has moved beyond simply building functional aircraft. This is something that is obvious to those of us who have been working in drones for a while. But for new entrants, this is crucial to keep in mind: Your first major milestone may be “engineer a functional aircraft,” but that’s not what your future customers care about.

A quick level set: Drone users don’t compare a new drone’s software and user experience to open-source tools or internal prototypes. They compare it to systems that already work very well in the real world.

DJI SmartFarm, DJI Agras, and DJI Pilot, among others, have set expectations for what a complete system should feel like — not just in the air, but before and after the flight.

That means manufacturers are competing on how easy it is to get a job done, how reliable the system is under pressure, how clean and intuitive the experience feels, and how well data is captured, stored, and used.

And the risk of building that software layer too quickly — without proper engineering discipline — is well documented. Here's why fast drone software development creates safety risks for OEMs .

The Four Layers of a Commercial Drone Operating Platform

A complete drone operating platform has four distinct layers. Most manufacturers invest heavily in the first two. User experience — and most of the long-term cost — lives in the last two.

Layer 1: Flight Control

This is the system that makes the drone fly. It handles stabilization, navigation, and flight behavior. PX4, ArduPilot, and proprietary autopilots all live here.

This layer is critical. Without it, nothing works. Outside of a few specific use cases that we see in agriculture and a few other industries, most drone operators will never interact with this layer.

Layer 2: Hardware Integration

This is where the drone comes together as a system: communication between components, telemetry, payload integration, radios, and sensors. It ensures that everything on the aircraft can talk to everything else reliably.

A significant amount of engineering effort goes here. But like the autopilot, it’s largely invisible to the end user.

It’s easy to see how an OEM may feel like they are close to done at this point: They have a working aircraft and integrated hardware. They likely have a basic interface.

This is only half of the platform, and it’s the half that users interact with the least.

Layer 3: Operator Software

This is where the operator experience begins. This is what enables a user to plan where they’re going to fly, control what the drone is doing, review results after the flight, track maintenance and warranties, and store and share data securely.

This layer determines whether the system is actually usable in the field. It’s where time is saved or lost, where mistakes are avoided or introduced, where users are delighted or frustrated, where OEMs build loyalty or regret. It’s also where many products begin to fall behind.

Layer 4: Data and Operations Platform

This is the layer that turns a single drone into a scalable system that can be used as a reliable tool for work. It’s the infrastructure that stores, organizes, and supports everything that happens before, during, and after a flight such as secure data storage, reliable uptime, consistent updates, clear data access, and support for bug fixes and new feature requests. This is the layer that manages integrations with other platforms, along the lines of the John Deere Ops Center.

This isn’t a one-time build but a system that must grow alongside the drone itself. This is the layer most often underprioritized by OEMs — and the one operators notice first when it's missing. The 2025 ASDC survey found that 96% of spray drone operators rank software as critical to their buying decisions.

Why Most Manufacturers Stop at Layer Two

Hardware engineering teams drive early development. Open-source tools make it feel like the platform is already mostly built. Early testing succeeds without a full software system. Building software at this point can feel expensive and distracting.

So teams move forward. They launch a product that flies. But once real operators start using it, the gaps become clear.

Something we see repeatedly are generic ground control stations that don’t meet drone users’ expectations or align with the market or geography where they’re being sold. We see, for example, metric measurements with no option to switch to the U.S. Customary System; foreign words or characters sprinkled throughout the interface; and confusing word choices that are likely the result of machine translators.

Where the Real Cost Lives

Layers 3 and 4 aren’t “features” and they aren’t nice-to-haves. They’re essential products in themselves.

Building them requires software engineers, cloud infrastructure, security practices, product management, ongoing updates, and customer support. And once you build them, you own them — indefinitely.

This is why the build-versus-buy decision matters so much. It’s not just about what you can build. It is about what you can sustain over the long haul.

Where American Autonomy Fits

American Autonomy, Inc. , focuses on the layers most manufacturers underestimate — the layers that can either frustrate or delight drone users.

We build the software that connects drones, the people who fly them, the tasks they are trying to accomplish, and the data that comes out of every flight.

In practical terms, that means helping drone users plan where they’re going to fly, control what the drone is doing, see results after the flight, manage drone maintenance and warranties, and store and share their data securely via U.S. servers.

This allows manufacturers to accelerate time to market while still focusing on what they do best. It also drastically improves the user experience and avoids the need to build and maintain an entire software organization from scratch.

The companies that win today are the ones that deliver complete systems — ones that easily work in the real world. Aircraft will always matter. But increasingly, the difference between success and frustration comes down to the software layer.

That is where expectations are set. That is where products are judged. And that is where companies either keep up or fall behind.

If you are building a drone, you’re not just building hardware. You are building a platform.

The question is whether you are building all of it.

An Open Letter to the FCC on Commercial Drone Security and American Innovation

Wed, 08 Apr 2026 15:54:33 GMT

The FCC's actions on foreign-made drones are a necessary first step. Here's what the policy needs to get right next to actually strengthen U.S. commercial drone security.

The Federal Communications Commission's (FCC) recent actions restricting foreign-made drones and components from Chinese manufacturers have made one thing very clear: the United States is serious about reducing dependence on foreign drone supply chains and strengthening domestic drone manufacturing.

That’s a worthwhile goal. Domestic manufacturing in general, and a more resilient American drone ecosystem in particular, are in the national interest.

But if the FCC’s new policy really is about security, not just onshoring, then the next phase of policy needs to get more precise.

Recent updates from the FCC suggest movement in that direction. The introduction of conditional approvals for certain drone systems signals an early shift toward evaluating systems more holistically, rather than treating all foreign involvement as a single category of risk. That’s a positive development. But it also highlights how much more clarity is still needed in defining what actually constitutes risk in a modern drone system.

Country of origin matters, but it’s not the same thing as cybersecurity.

I personally struggle to see how a rotor made in an allied country would pose a security concern. But I can definitely see how an internet-connected software system with weak access controls, poor update practices, or unclear data flows would cause security issues, even if it's made in the United States.

Software can introduce vulnerabilities anywhere if the standards, architecture, and operational discipline are weak. The FCC's own rationale for adding foreign-produced drones to the Covered List included concerns such as sensitive data harvesting, remote unauthorized access, and disablement via software updates. Those are software and systems risks as much as they are country-of-origin concerns.

The FCC's own rationale for adding foreign-produced drones to the Covered List cited sensitive data harvesting, remote unauthorized access, and software-based disablement — all of which are drone cybersecurity and drone software security concerns, not purely manufacturing origin concerns.

That distinction matters for commercial drone innovation.

The Commercial Drone Market Can't Wait for Policy to Catch Up

Today, the U.S. commercial drone market is trying to do two hard things at once: rebuild domestic manufacturing capacity and keep serving real operators in agriculture, utilities, infrastructure, and public safety.

These are teams that need to spray during a three-day weather window or inspect a line after a storm — not wait for a policy cycle to settle.

The policy challenge is to encourage more American capability without accidentally slowing the very companies trying to build that market.

In agriculture especially, operators are making practical purchasing decisions. The 2025 American Spray Drone Coalition survey found that 49% of operators would refuse to pay any premium for an American-made drone, while 41% said they would pay only a 1–25% premium. Performance remains the dominant factor.

The software behind the drone — not just the aircraft itself — is what operators are actually evaluating. Here's what the ASDC survey data tells us about software and operator loyalty .

That means policy should reward secure, high-performing systems, not just domestic assembly in the abstract.

What the FCC DRONE POLICY should ADDRESS next

First, distinguish more clearly between hardware origin risk and software/system security risk .

Not every component presents the same threat profile. Rotors, structural parts, and some mechanical components are not the same as connected control systems, radios, data infrastructure, or cloud-linked software. If the FCC wants to improve security outcomes, the framework should reflect those differences.

Second, create a pathway that explicitly recognizes the role of allied-country components in rebuilding a competitive U.S. supply chain.

Commercial drones grew out of global consumer electronics and light manufacturing ecosystems. Allied countries such as Japan, South Korea, Taiwan, and Germany have strong capabilities in components and electronics. A policy that treats all non-U.S. origin content the same risks making it harder, not easier, for American manufacturers to scale while domestic capacity is still being built. The FCC’s January 2026 update already reflects some flexibility by exempting Blue UAS Cleared List products and Buy American-compliant end products through January 1, 2027. That logic could be extended in a more durable way.

Third, give software a more explicit role in how security is evaluated.

If software is where sensitive data is routed, stored, updated, and governed, then drone software security standards should include:

secure hosting and storage architecture
access controls and user permissions
software update and patching discipline
auditability of data flows
segregation of operational and customer data
incident response readiness

Those are the kinds of measures that actuall y determine whether a system is secure in practice.

The engineering discipline required to build and maintain a drone software platform at this standard is significant — and AI development tools are making it easier to ship systems that aren't ready. Read: Why fast drone software development creates safety risks for OEMs .

Fourth, align policy with the reality of commercial operations, not only defense procurement logic.

The Covered List framework is being interpreted by many manufacturers through a defense lens, but commercial operators have different needs. They need durability, affordability, uptime, and support over time. They are not buying attritable systems. They are buying tools that must work reliably in the field every day, for years. Policy should support that market too.

Finally, provide more clarity and predictability.

Right now, uncertainty itself is part of the problem. Manufacturers need to know what qualifies, what does not, how exemptions are handled, and what role software can play in meeting security expectations. Capital follows clarity. Innovation does too.

The FCC has already taken a significant first step by forcing the market to confront supply-chain risk. The next step is making sure the policy encourages a stronger commercial ecosystem, not just a narrower one.

"The path forward isn't a narrower ecosystem — it's a more interoperable one. Read: W hy interoperability is the missing piece in the U.S. commercial drone market.

American manufacturing is worth building. But if security is the real objective, then standards, architecture, and software discipline need to matter just as much as country of origin.

Th at is how we strengthen the U.S. drone industry for the long term.

At American Autonomy, Inc., we've built our drone software platform around exactly these principles — U.S.-built, hardware-agnostic, and designed with secure hosting, access controls, and auditability at its core. If you're a drone manufacturer navigating FCC compliance and looking for a software partner built for this environment, we'd like to talk.

Learn more at American-Autonomy.com .

Build vs. Buy: What It Really Costs Drone Manufacturers to Own Their Software Platform

Fri, 20 Mar 2026 15:02:58 GMT

For drone manufacturers weighing whether to build an operating platform in-house or partner with a specialized provider.

As commercial drones become more capable and more central to real-world operations, the drone software platform that powers them has become just as strategic as the aircraft itself. For drone manufacturers, that shift changes everything about how capital and engineering talent should be allocated.

A commercial drone operating platform is not just an autopilot and test tools.
It’s the full software layer that connects aircraft, operators, and data into something that makes it easy to use the drone for work — and that can actually compete in the market.

Mission planning, drone management, flight patterns, logs, settings, and data integration all depend on the operating platform behind the drone. Increasingly, that software layer determines how well a drone system performs in the field and how quickly it can evolve over time.

For manufacturers, the question is no longer whether software matters. The question is whether to build the operating platform in-house or partner with a specialized platform provider.

On paper, building offers control. In reality, it commits you to something much larger.

Many manufacturers assume they are closer to “done” than they really are because the drone flies, the autopilot works, and the test tools are functional. However, a commercial operating platform isn’t defined by whether the aircraft can fly, but by whether operators can plan missions, manage the work, capture data, track and share data, and keep getting value from the drone.

In this article, we examine what building a drone operating platform truly requires and why the build-versus-buy decision ultimately shapes how manufacturers allocate capital, talent, and long-term focus.

What It Really Means to Build Your Own Drone Operating Platform

Most build discussions begin with capability: “Can we do it?”

With enough engineers and time, the answer is often yes. The more important question is commitment.

Building a drone operating platform is not a one-time project. It is a long-term organizational commitment that changes how your company operates.

When we say “drone operating platform,” we don’t mean only the autopilot or basic test software. We mean the full software layer that supports commercial operations: mission planning, operational data, integrations, security, customer support, and the real-world work that drone pilots are doing.

PX4 and QGroundControl are valuable tools for getting a drone airborne and tested. But as a standalone drone software stack, they don't provide the commercial operating platform that operators expect — no polished mission planning, no operational data management, no compliance reporting, no integrations with the agricultural and enterprise systems operators already use.

Commercial operators compare an OEM’s product to the features and functionality they already know, including polished mission planning, drone management, reporting, and data handling.

Step 1: Building a Drone Software Organization From Scratch

Building an operating platform requires far more than adding a few software engineers to a hardware-focused team. It requires an entire software organization.

That typically includes:

Engineering management
Product management
UX/UI designer
Full-stack engineers
DevOps infrastructure teams
Security engineering
Customer support
Firmware and software updates
Continuous integration pipelines
Automated testing and QA

You aren’t simply building software. You’re building the internal capability to design, deploy, and secure software at scale. Most crucially, you’re signing up to maintain that software for years.

For many manufacturers, this means creating a software organization inside a company that historically focused on hardware and hardware engineering principles.

That structural shift alone can take months before meaningful code is ready to ship.

Step 2: Drone Software Architecture and Core Platform Development

Once the organization is in place, the real platform work begins. A production-ready drone operating platform supports a wide range of foundational capabilities:

Real-time flight control
Sensor integration
Communications and encryption
Fail-safe mechanisms
Over-the-air updates
Fleet telemetry pipelines
API access for third-party applications

None of this work is particularly visible to customers. It doesn’t immediately differentiate your product in the market.

But it still must be correct, secure, and future-proof.

This foundational architecture typically requires significant engineering effort.

For most drone manufacturers, building a production-ready commercial drone software platform from scratch requires 18–36 months of development before reaching full maturity — and that timeline assumes the internal software organization is already in place.

Even then, the work isn’t finished — because the platform still needs the features that are visible to customers:

Mission planning
Drone management
Operational data
Maintenance, flight logging & settings
Security and updates
Integrations with other data & flight systems

Step 3: Drone Software Security, Compliance, and Regulatory Requirements

Once your operating platform is deployed in the field, it becomes part of your regulatory and security posture. That means the responsibility doesn’t end when V.1 ships.

Instead, you inherit ongoing obligations, including continuous vulnerability monitoring, patch deployment across SaaS infrastructure and firmware management for active drones, secure boot and encryption enforcement, regulatory updates and compliance management, and backward compatibility across system updates.

As everyone who owns a smartphone has experienced, software platforms require constant attention: security threats evolve and hardware generations advance. And in aviation, software must comply with airspace regulations and flight rules for drones, which can evolve quickly.

Shipping version one is the beginning of the lifecycle, not the end.

Step 4: The Ongoing Cost of Running Your Own Drone Software Platform

Owning your own operating platform means you are responsible for running it indefinitely. At American Autonomy, this means things like 24/7 uptime accountability, incident response, and managing developer and API ecosystems. It also involves reliability engineering, maintaining compatibility across hardware generations, managing cloud infrastructure, and recruiting and retaining our specialized engineers.

At this stage, the operating platform is no longer a development effort. It is a permanent operational responsibility.

The decision to build your own operating platform is effectively the decision to become a software platform company.

What It Means to Buy a Drone Operating Platform

Buying is often misunderstood as giving up control. In practice, the right platform partnership lets manufacturers keep control of their aircraft strategy while avoiding the time, cost, and distraction of building an entire software company inside a hardware business.

But most manufacturers who choose this path aren’t trying to avoid software. They are trying to build the best possible system with the resources they have.

Drone companies already operate at the intersection of complex hardware, supply chains, certification, and real-world operations. Standing up a software team in order to build and maintain a full software platform alongside that work can easily become a second company inside the first.

Partnering with a drone software platform provider allows manufacturers to focus on aircraft performance and operator experience while relying on a specialized team to maintain the underlying drone operating platform — including mission planning software, compliance reporting, fleet data management, and continuous security updates.

When done well, the result isn’t “outsourcing.” It’s strategic leverage.

Step 1: Evaluation and Alignment

The buy process begins by defining what your platform needs to support. Manufacturers typically evaluate partners based on:

Technical architecture
Security standards
Performance benchmarks
Integration flexibility
Product roadmap alignment

Rather than assembling a full internal platform team, the focus shifts to selecting a partner that already operates a mature system. The timeline for evaluation and selection is measured in months rather than years.

Step 2: Integration

Integration still requires meaningful engineering work. Manufacturers must ensure the platform integrates properly with their aircraft and operational workflows.

Typical integration work includes:

Compatibility and testing
Performance validation
Flight testing validation
Certification coordination
User experience design

The difference is that the foundational infrastructure already exists.

Instead of inventing the platform layer from scratch, manufacturers plug into a system designed to support those capabilities.

The effort is real, but it is bounded, not indefinite.

Step 3: Shared Evolution

A strong platform partnership also changes how innovation happens. Rather than funding every feature internally, manufacturers benefit from shared platform development.

That can include:

Continuous feature releases
Shared research and development investment
Concentrated cybersecurity expertise
Faster feature deployment
Fleet-level telemetry insights
Continuous customer feedback review

Instead of maintaining the underlying infrastructure, manufacturers can focus their energy on product differentiation and customer experience.

Build vs. Buy Drone Software: The Strategic Difference for OEMs

Building maximizes control. Buying maximizes velocity.

That distinction matters more as the drone industry evolves. Today, competitive advantage increasingly comes from the ability to improve systems continuously through software updates.

Enterprise customers expect rapid feature rollout. Security expectations evolve constantly. AI-driven capabilities improve on a monthly cadence but require engineering oversight and review.

In that environment, speed compounds.

The organizations that can iterate quickly often gain an advantage over those managing large internal platform efforts.

The Real Question for Drone Manufacturers: Platform Company or Aircraft Company?

The build-versus-buy decision isn’t really about capability. It’s about identity: Are you building a drone company? Or are you building a drone operating platform company?

Both paths are valid. Some companies will choose to build their own platform and accept the operational responsibilities that come with it.

But many manufacturers prefer to concentrate their resources on hardware innovation, market expansion, and customer differentiation while leveraging a platform purpose-built for continuous software evolution.

In an industry defined by rapid iteration, leverage often outperforms ownership.

The question isn’t whether you can build; it’s whether building accelerates or distracts from your long-term market leadership.

American Autonomy: Drone Operating Platform for Commercial Manufacturers

At American Autonomy, Inc., we build the drone operating platform layer that connects commercial drone manufacturers to real-world operator workflows. Our drone software platform includes mission planning, flight execution, operational data management, drone compliance software, and the continuous security updates required to support commercial drone fleets in the field.

Our platform is U.S.-built, hardware-agnostic, and hosted on U.S.-based servers — designed to be shared infrastructure for drone manufacturers who want to move faster without building a software company inside their hardware business. For manufacturers evaluating a drone software build vs. buy decision, we'd like to talk.

Learn more at American-Autonomy.com .

Commercial Drone Investment: Why the U.S. Has a 3–5 Year Window to Win

Wed, 11 Mar 2026 16:03:58 GMT

Why commercial drone demand is structural, why defense alone isn't enough, and what the real infrastructure opportunity looks like for U.S. investors.

Over the past few months, I've been getting similar questions from investors about the U.S. commercial drone market: Is defense the only opportunity? Is the U.S. simply too far behind to catch up on drone manufacturing and software infrastructure?"

These are fair questions. Policy uncertainty is real. Capital is moving quickly. But when you step back, the picture becomes clearer.

Commercial drones are not a side bet. They’re a critical piece of rebuilding a resilient U.S. ecosystem. And right now, we’re at an inflection point.

The signal is already in the data.

Key data points from the current U.S. commercial drone market:

The Oregon Department of Aviation white paper , based on surveys of 20 state DOTs, estimates government fleet replacement costs between $35M–$105M
Factoring in contractor replacement costs for state and local drone work pushes total replacement costs to $2 billion
Agricultural spray drones treated over 16 million acres in 2024 — with 90% of those drones manufactured in China
The U.S. ag drone sales opportunity in 2025 alone is nearly $600M , if domestic manufacturers can meet demand

U.S. commercial users are going to need alternatives. The question is whether U.S. manufacturers are ready to supply them.

I’ve been engaged at the federal level on drones for the last 10 years. Based on everything I can see at the federal level, U.S. companies have a 3–5 year window to rebuild domestic commercial drone capability — including drone hardware manufacturing, drone software platforms, domestic supply chain, and system integration — before the market consolidates around whoever moves fastest.

Defense Drone Spending vs. Commercial Drone Demand: Why Both Matter

Right now, capital is rushing toward military drone companies, and many are positioning themselves as “dual-use.”

To me, that sounds a lot like a side bet on commercial drones, when customers need them now. Defense spending is finite, and we may already be over-investing. Commercial demand is structural.

Farmers don’t spray crops because of geopolitical reasons. Utilities don’t inspect transmission lines based on government appropriations cycles. They adopt technology because it increases productivity and reduces cost.

If we build an entire drone ecosystem around defense enthusiasm alone, we are building a bubble. If we build around commercial productivity demand, we build something durable.

The FCC's own policy framework reflects this tension — and what it needs to get right has significant implications for commercial operators and manufacturers alike. Read: An open letter to the FCC on commercial drone security and American innovation.

Can the U.S. Compete in the Commercial Drone Market? The Real Investment Question

Perhaps the most pessimistic view I hear is this:

China built a world-class drone supply chain.
The U.S. cannot match it: labor, tech, investment.
We’re simply too far behind.

Rebuilding supply chains is difficult. That’s true.

But early-stage investing has never been about backing industries that are already inevitable: If the U.S. drone supply chain were fully built, mature, and globally dominant, companies wouldn’t be raising venture capital. They’d be going to banks.

The right question isn’t “Is this easy?” The right question is “Is there durable demand, and can this ecosystem execute?”

The demand is visible. The execution path is challenging, but it’s not unknowable.

Why This Is the Critical Build Moment FOR U.S. Commercial Drone Market

Inflection points never feel comfortable. Right now, the U.S. commercial drone industry has:

Real commercial demand
A temporary reduction in dominant foreign supply
Intensifying policy support
Capital looking for direction

That combination does not appear often. Commercial drones are not a side bet. They are a foundational part of whether the U.S. builds a resilient ecosystem.

Aircraft alone will not determine the winners.

The next phase of the U.S. commercial drone industry will be shaped by the infrastructure that allows drone fleets to operate reliably at scale: drone mission planning software, operational data systems, hardware integrations, and drone software platforms built for real-world commercial workflows.

Understanding what building that software infrastructure actually requires — and what it costs — is where most manufacturers need to start. Read: What it really costs drone manufacturers to own their software platform.

That is exactly the layer we are building at American Autonomy, Inc. — U.S.-built, hardware-agnostic drone operations software designed to be shared infrastructure for the commercial drone ecosystem. Learn more at American-Autonomy.com.

AI-Generated Drone Software: Why Fast Development Creates Safety Risks for OEMs

Tue, 10 Mar 2026 16:07:32 GMT

What AI Tools Miss in Safety-Critical Drone Software Systems DevelopmenT.

In drone software development, AI tools are accelerating timelines like never before.

In many industries, that is purely good news. Teams can prototype faster, test ideas more quickly, and bring products to market sooner.

In drone systems, safety and reliability are more important than speed alone.

At American Autonomy, Inc., we build the software layer that connects aircraft, operators, and operational data. That means we see what happens when platforms move from demos into real-world operations.

What we are learning is this: AI dramatically accelerates development. But it also makes it easier to ship systems that look finished long before they are actually ready for production.

When those systems support aircraft operations, the cost of getting that wrong is much higher.

In the past year we’ve reviewed multiple systems where AI accelerated early development but left manufacturers with software that became extremely difficult to maintain once operators depended on it.

We never want to see this. Reliable, well-tested systems benefit everyone in our industry. That's why I'm sharing what we’ve learned from using AI in drone software development and why safety-critical systems still require architecture, discipline, and engineering experience to build systems operators can truly trust.

Why AI-Generated Drone Software Fails in Production

AI tools make it possible to build software that looks impressive very quickly. It’s exciting: clean interfaces, smooth workflows, and working prototypes in days instead of months.

Once real operators begin using these systems, the environment changes dramatically. Real missions introduce messy edge cases, inconsistent connectivity, hardware variability, regulatory requirements, and operational pressure.

That's when weaknesses show up.

Across the industry we are beginning to see systems that look polished in early demos but begin to struggle once deployed in real environments. Architecture that seemed flexible becomes tangled. Features that worked in isolation interact in unpredictable ways. Security assumptions that were acceptable early on become liabilities later. In some categories of software, that may be survivable.

In systems that support flight operations or manage operational data, it is not.

Trust is foundational in aviation-related systems. Operators depend on tools that work consistently and securely every time they fly.

When that trust breaks down, the consequences are not just technical. They are reputational. For drone manufacturers, that risk is existential.

If a drone system fails, the consequences are immediate: damaged equipment at best, potential injury at worst. Just as important, reputation travels fast in this industry. Operators depend on accurate data, secure systems, and reliable platforms to keep their businesses running. A single high-profile failure damages credibility.

Common Drone Software Development Failures in Production Environments

In production environments, we've seen the same failure patterns. If your team is using AI to develop drone software, these are the big ones to be aware of:

Logic sprawl: AI-generated features often accumulate without a clear architectural structure. Over time the codebase becomes difficult to reason about, modify, or extend.
Hidden integration debt: Drone platforms depend on integrations with hardware systems, connectivity layers, and data pipelines. AI-generated code often assumes ideal conditions that rarely exist in real deployments.
Security shortcuts: Authentication, permissions, and data access controls frequently start simple and become extremely difficult to retrofit once a system is in use.
Maintenance collapse: Once multiple developers and AI tools begin modifying the same codebase without clear architectural constraints, it becomes difficult to understand the assumptions underlying the system.

None of these problems appear in a demo. They appear months later, when operators depend on the platform every day.

And when operators encounter these failures, software is what they blame — even when hardware performs perfectly. Here's what the ASDC survey data tells us about how operators judge drone software.

Best Practices for AI-Assisted Drone Software Development

At American Autonomy, our engineering team has decades of combined experience working on drone systems. Among other tools, they use AI extensively in development. But it operates inside a framework designed for safety-critical environments.

That framework includes several key principles.

Clear system architecture: We define boundaries between flight systems, operational data services, and user workflows before new features are developed.
Strict development patterns: AI-generated code must follow established patterns for authentication, data access, system integrations, and experienced engineers must review AI-generated code commits.
Continuous quality assurance: Testing and validation occur alongside development rather than at the end of the process.
Stable codebase foundations: AI performs best when building on well-structured systems rather than generating entire platforms from scratch.

AI dramatically increases engineering productivity. But the structure around it determines whether that productivity produces reliable systems or fragile ones.

Drone OEM Software Strategy: Build vs. Buy Considerations

For drone manufacturers, the appeal of AI-driven software development is obvious. A prototype can be assembled quickly. A demonstration can be persuasive.

Sometimes that’s the right decision. Narrow internal tools or early proof-of-concept platforms can often be built efficiently in-house without a team of software experts. But production software rarely remains narrow.

An application that begins as a mission planning tool quickly expands into a broader platform. Suddenly, it must support user management, operational data storage, system integrations, updates, compliance reporting, and long-term maintenance.

What began as an application becomes infrastructure, which is not a side project. It's a sustained commitment.

We've broken down exactly what that commitment requires — in time, team, and long-term cost. Read: What it really costs drone manufacturers to own their software platform.

AI lowers the barrier to creating software, but it doesn’t eliminate the long-term responsibility to maintain, secure, and evolve that software over time. This is a responsibility that American Autonomy takes very seriously.

Domestic manufacturing doesn't eliminate security concerns

A related misconception is emerging in policy discussions. The assumption is that domestic manufacturing automatically produces secure systems that are NDAA compliant drone software.

Strengthening U.S. manufacturing capacity is important. However, UAS data security isn’t determined by geography but by engineering practices: secure hosting, access controls, monitoring, lifecycle management, and disciplined update processes.

These are behaviors, not locations.

As drone operations expand beyond visual line of sight and aircraft become increasingly connected, drone cybersecurity becomes more important, not less.

A compliance label alone does not create resilience. Resilience is built through engineering process.

Better tools don’t eliminate engineering rigor

AI will transform how software is built across nearly every industry. We are excited about that future and investing heavily in the tools that make it possible.

But when the systems being built manage flight operations and mission-critical workflows, the standard cannot drop simply because development has become faster.

The real risk of AI in this context is not bad code. It is that AI makes it easier to build systems that appear complete before the architecture is ready to support them.

The companies that succeed in the next phase of the drone industry won’t just move faster. They will combine AI productivity with strong engineering discipline.

At American Autonomy, that is the layer we focus on building: the software infrastructure that allows drone manufacturers and operators to run reliable systems at scale.

Because in aviation, speed matters. But reliability matters more.

To learn more about our software, visit American-Autonomy.com .

The U.S. Commercial Drone Market Is Here: Why Interoperability Is the Missing Piece

Tue, 03 Mar 2026 17:49:37 GMT

Why the U.S. Needs A Shared COMMERCIAL DRONE Infrastructure Now

The U.S. commercial drone market is already operational — and the infrastructure to scale it is the only thing lagging behind.

A missing person search . A storm response . A transmission line inspection . School roofs that may or may not be safe for children . A tight application window in the field. These are not speculative use cases — they’re operational realities. I grew up in Oldham County, Kentucky where, a couple months ago, a thermal drone helped first responders locate a missing man who spent 29 hours lost in freezing weather.

Commercial Drone Market Growth: The Numbers That Matter

I love that story. But the commercial market isn’t just stories, it’s data.

According to industry reporting, 9,000 agricultural spray drones were sold in the U.S. in 2024, with an estimated 10.3 million acres treated by spray drone that year — projected to grow to 16.4 million acres in 2025 .

The largest U.S. enterprises in construction, telecommunications, energy & utilities , and facilities management are all paying at least six or seven figures a year for drones, related services, and data software. If Verizon, Walmart, and Duke Energy now see drones as a standard tool for getting work done, the commercial market is here, and it has been for a while.

You can argue about exact numbers. But you can’t argue that the market is imaginary.

Why 'Replace DJI' Is the Wrong Strategy for U.S. Drone Manufacturers

A lot of companies frame the opportunity as 'replace DJI.' I understand why — DJI set expectations for usability and price. And for operators and enterprises actively seeking NDAA-compliant alternatives to DJI, the demand is real. But copying a general-purpose stack is not how the U.S. wins.

Commercial work rewards systems designed around workflows:

job planning
mission execution
data capture and retrieval
compliance and reporting
integration into the systems operators already use

That’s how you get compounding value, and how you avoid rebuilding the same layers repeatedly across domestic drone manufacturers.

Defense Drone Programs vs. Commercial Drone Needs: Key Differences

The defense market is accelerating domestic manufacturing capacity. That’s a real tailwind.

But defense requirements don’t automatically produce commercial-grade systems. Many defense concepts prioritize different tradeoffs than civilian operations: lifecycle, maintainability, supportability, and repeatability.

Commercial operators don’t want disposable capability. They want reliability they can schedule around.

That reliability starts with the software layer — and understanding what it takes to build and maintain that layer is where most manufacturers need to start. Read: What most drone manufacturers are missing about their operating platform.

If the industry reorients entirely around defense demand, we risk leaving commercial customers “in the cold” — and we risk losing engineers who came here to build durable tools for field work.

Building a Commercial Drone Ecosystem: The Case for Interoperability

The U.S. has done this before. The industries that scale into durable markets tend to separate concerns cleanly and compete at the right layers.

For drones, that means:

manufacturers compete on aircraft performance and reliability
sensor and imaging companies specialize
software platforms handle mission workflows, data, and compliance
operators get choice, integration, and faster iteration

This is not about one winner owning everything. It’s about building a market with many winners and better outcomes for the people who rely on drones to do essential work.

The investment case for that open ecosystem model goes beyond engineering logic — it's a durable value creation argument. Read: Why an open U.S. drone ecosystem is a better investment bet.

If you’re building commercial drones (or building components, sensors, or software that will power them) the next question is practical: What shared infrastructure would remove the most friction from your roadmap in 2026?

American Autonomy, Inc. builds the software infrastructure that connects commercial drone operators, manufacturers, and data platforms. Learn more at American-Autonomy.com to get started.

What the ASDC Survey Tells Us About Software — and Why Manufacturers Should Pay Attention

Wed, 18 Feb 2026 19:41:08 GMT

96% of Spray Drone Operators Rank Software as Critical.

Every year, the American Spray Drone Coalition (ASDC) Agricultural Spray Drone Industry Survey offers a reality check on where the spray drone industry stands. This year, one number stood out.

96% of spray drone operators ranked “Features / Software” as important or higher in drone buying decisions.

That’s not a trend. That’s not noise. That’s consensus.

And consensus is dangerous when it’s ignored — because it usually shows up later as churn, support cost, or lost market share.

Here’s the contradiction no one likes to say out lou d: Almost no operator buys a spray drone because of software.

They buy payload. Tank size. Battery life. What’s proven itself in a neighbor’s trailer.

Hardware gets the drone purchased. Hardware gets the season started.

But software is the key to whether an operation runs smoothly — or quietly bleeds time, money, and patience every single day.

Spray drone work doesn’t happen in lab conditions. It happens on hot, summer days. Just before sunset. Just after sunrise to beat the heat of the day. When batteries are cycling. When crews are tired but trying to finish before it gets too windy. Spray drone software fails most visibly during peak season operations — and that's exactly when operators form lasting opinions about the platforms they use.

That’s when operators aren’t thinking about payload capacity. They’re thinking about not wasting time:

Planning entry points
Setting and re-checking boundaries
Tracking applications
Finding the right settings and re-checking them

In those moments, the drone is usually doing its job just fine. The system isn’t.

That’s when operators stop caring about specs and start caring about flow — whether the work moves forward easily or gets fragmented by friction, second-guessing, and unnecessary steps.

That’s the real time-waster. And that’s where software either earns its keep or becomes the bottleneck.

What Spray Drone Operators Really Mean When They Rank Software First

Software ranks so high in the ASDC survey not because operators love “features.”

It ranks high because operators have paid for bad systems the hard way.

They’ve worked inside platforms designed for testing instead of long days.
Software built for ideal conditions, not real operations. Tools that feel fine in a demo but not when they need to be used over and over.

Some systems let an operator set up a field and move on in minutes.

Others turn routine tasks into a maze of screens, steps, and second guesses.

Those inefficiencies don’t show up on spec sheets. They show up when jobs pile up, mistakes happen, and operators waste time in software instead of finishing work. That’s what the 96% is really saying.

The Hidden Cost of Poor Spray Drone Software for Drone Manufacturers

This is the part manufacturers often underestimate. When software interrupts work, operators compensate.

They build workarounds. They skip steps. They rely on memory, notes, or external tools. They stop trusting the system.

From the manufacturer’s side, this doesn’t look like a software problem. It looks like:

Inconsistent results across identical hardware
Support tickets that are hard to reproduce
Longer training time
Field teams blaming “adoption” or “user error”
Operators ignoring parts of the system entirely

The software didn’t fail loudly. It failed quietly — by pushing oper ators off the system.

And once operators are off-system, manufacturers lose standardization, visibility, and control over outcomes. That loss compounds. Support costs rise. Loyalty weakens. Differentiation erodes.

Operators don’t usually leave brands first. They leave systems first.

Spray Drone Hardware vs. Software: What Drives Operator Loyalty

Hardware still matters. No serious operator or manufacturer disputes that.

But as spray drone platforms become larger and more complex, and the number of manufacturers grows, software capability and ease of use become critical to building loyalty, scale, and repeat business.

What separates one operation from another isn’t just what the drone can carry.

It’s how quickly farmers can:

Plan work
Execute safely and precisely
Recover from mistakes
Move on to the next field without friction or confusion

Put plainly: Software is no longer something that supports the operation. It is the operation. A nd drone systems that slow down operations don’t just frustrate operators — they cause them to choose a different drone.

Understanding what a complete drone operating platform actually requires — across all four layers — is where most manufacturers need to start. Read: What most drone manufacturers are missing about their operating platform .

Spray Drone Operations Software Built for Real Field Conditions

At American Autonomy, Inc., we don’t treat software as something operators touch occasionally. We treat it as the environment they work inside all day.

If an operator has to think about the software while trying to get work done, the software has already failed.

Our spray drone operations software is built around real jobs, real pressure, and real days that don't go according to plan — not lab conditions or ideal demos.

Planning, mapping, boundaries, and applications live in one place — organized by client, farm, and field — so operators spend less time managing screens and more time finishing work.

The system scales as operations grow instead of collapsing under volume.

It integrates with John Deere Operations Center™, Climate FieldView™, and QuickBooks® Online — the agricultural software farmers already rely on — instead of forcing operations to be rebuilt from scratch.

And it’s built, hosted, and controlled in the United States — by design, not by convenience.

The Inflection Point

The ASDC survey confirms what experienced operators already know: Spray drone operations don’t fail because drones can’t fly.

They fail when planning breaks down, information gets scattered, and small inefficiencies stack up across the day until they become real losses.

For manufacturers, this is the inflection point.

You can compete on hardware alone — or you can own the system operators depend on every single day.

For manufacturers weighing whether to build that software layer in-house, the real cost is almost always underestimated. Read: What it really costs drone manufacturers to own their software platform .

The first path leads to price pressure. The second leads to loyalty, scale, and long-term commitment.

In the long run, it’s not the drone that wins. It’s the experience operators have with the drone — every single day.

American Autonomy, Inc. builds spray drone operations software designed for exactly that experience. Our drone software platform is U.S.-built, hardware-agnostic, and purpose-built for agricultural spray drone operations. If you're a drone manufacturer looking for a software partner that makes your hardware perform better in the field, we'd like to talk.

Learn more at American-Autonomy.com .

The FCC Drone Ban: Why It Accelerates the U.S. Commercial Drone Ecosystem

Tue, 03 Feb 2026 20:07:32 GMT

What FCC Foreign Drone Restrictions Means for U.S. Drone Market Investment.

The FCC drone ban and recent restrictions on foreign-made drones and components — primarily targeting Chinese drone manufacturers like DJI — has been widely described as disruptive. That's true.

But from an investor lens, the more important point is this: it accelerates a transition that was already underway. And, makes the path forward clearer.

The U.S. commercial drone industry is being forced to decide what it wants to become.

U.S. Drone Market Investment: The Right Question to Ask Right Now

The question is not whether demand exists. Commercial demand is already real: agriculture, utilities, infrastructure, public safety, environmental monitoring.

The question is whether the U.S. market grows as:

a fragile set of closed stacks that require enormous capital and ongoing support expense to replicate and manage end-to-end, or
a durable ecosystem where specialized companies build at the right layers and compound innovation downstream.

Those two outcomes produce very different investment dynamics.

Why Vertical Integration Is the Wrong Strategy for Drone OEMs

Many investors naturally gravitate toward vertical integration. It feels defensible: own the hardware, own the software, control the whole experience.

In practice, that's the most expensive way to build a market.

When every manufacturer believes they must recreate the entire stack — aircraft, components, compute, software, data, compliance, workflows — the industry duplicates massive R&D effort. Timelines slip. Prices rise. Adoption slows. The end user loses.

This is especially acute in commercial drones because affordability matters. Drones are tools. Farmers, utility crews, inspectors, and first responders buy drones because they reduce risk, saves time, and integrate with the rest of their work.

An industry that requires every OEM to become a fully integrated software company will produce fewer viable manufacturers and higher prices for operators.

The real cost of building and maintaining a full drone software platform in-house — in time, team, and long-term commitment — is almost always underestimated. Read: What it really costs drone manufacturers to own their software platform.

Commercial Drones vs. Robotics: Why the Ecosystem Model Wins

A common argument against an 'ecosystem model' is that robots require highly customized software, tightly matched to hardware. That is true in many robotics categories.

Commercial drones are different.

Drones are closer to standardized platforms with payload variation and workflow variation. The airframe and payload matter, but the operational workflows matter just as much: job planning, compliance, logging, maintenance, data management, reporting, integrations, and multi-site fleet operations.

That's why the computer analogy keeps coming up.

Computing scaled when specialized companies competed at the right layers — components, hardware assembly, operating systems, applications. No single company owned the drone software stack. Shared infrastructure became the backbone, and that ecosystem produced many winners faster than any vertically integrated approach could have.

The same logic applies to commercial drones. Just as specialized software platforms became the backbone of computing, drone fleet management platforms are poised to play the same role in commercial UAS — serving as the shared operating layer that lets manufacturers compete on hardware while operators benefit from choice, integration, and faster iteration.

Think of it as a drone operating system for the industry: not owned by one manufacturer, but available to all of them.

Defense Drone Programs vs. Commercial Drone RequirementS

The U.S. government is clearly pushing to build domestic supply chains, primarily through defense initiatives. That can be a jumpstart for components and manufacturing.

But commercial drone operations have fundamentally different requirements than the “attritable” systems currently being sourced by these government initiatives.

Commercial operators need:

durability
reliability
usability
supportability
repeatable workflows
software that makes the drone a tool, not a project

A market that tells commercial users to “wait a few years” isn’t aligned with reality. Demand exists now, and the work will be done by whoever can serve operators with practical, repeatable systems.

Where the Real Commercial Drone Investment Opportunity Lies

Open ecosystems aren’t “give it away for free.” They’re a different value-creation model. A durable U.S. drone ecosystem creates multiple points of value:

aircraft manufacturers specialize in reliable performance
component and sensor companies fill critical gaps
software and data platforms become shared infrastructure that accelerates time-to-market
operators benefit from choice, competitive pricing, and fast iteration

That structure doesn’t just create one winner. It creates a category with many winners — and a larger market.

American Autonomy: U.S.-Built Drone Software Infrastructure

At American Autonomy, Inc., we’ve built for this environment.

U.S.-built, secured, and hosted software that is interoperable and hardware-agnostic by design.

Our drone mission planning software and drone compliance software are built to be shared infrastructure — not proprietary walls. Core capabilities including mission planning, data management, compliance reporting, and operator workflows can and should run across manufacturers.

That reduces duplication, lowers costs, and allows OEMs to focus investment on what differentiates their aircraft — not on rebuilding the same software layer everyone else is also rebuilding.

The FCC’s action didn’t end innovation. It made the industry’s next chapter inevitable.

Now the question becomes: do we build an ecosystem that compounds, or closed stacks that fragment?

Eric Ringer's open letter to the FCC makes the case that software security standards — not just country of origin — need to be part of that answer. Read: An open letter to the FCC on commercial drone security and American innovation.

For investors looking at timing: this is a market that is shifting from possibility to structure. And structure is where durable value gets created.

Why an Open U.S. Drone Ecosystem Is a Better Investment Bet

Wed, 14 Jan 2026 17:50:15 GMT

The FCC's recent restrictions on foreign-made drones and components have prompted a lot of discussion about risk in the U.S. commercial drone market. I see something else: a compelling opportunity to build a more durable, investable ecosystem.

Why Open ecosystems outperform vertical integrations

Historically, closed, vertically integrated systems can scale quickly (with a LOT of investment), but open ecosystems create far more value over time. Most importantly, they invite competition. They also attract specialized builders and compound innovation downstream.

That structure is good engineering AND good economics.

And it aligns with something uniquely American. Our most enduring technology advantages have not come from closed monopolies. They've come from open systems — the internet, mobile platforms, cloud infrastructure — that allowed thousands of companies to participate and specialize. The PC didn't scale because one company owned everything. The internet didn't scale because one company owned everything. The result, every time, was scale, resilience, and global leadership.

The U.S. drone industry has the same opportunity — if it makes the same structural choice.
For drones, this matters.

Civilian drone markets are not single-product markets. They are ecosystems serving agriculture, energy, infrastructure, public safety, and environmental monitoring. Each of those verticals can benefit from shared software, interoperable data, and modular hardware rather than multiple c ompanies investing heavily trying to lock in users and own everything end to end.

Where Value Gets Created in a Commercial Drone Ecosystem

An open U.S. drone ecosystem creates multiple points of va lue creation:

Aircraft manufacturers focus on reliability and performance.
Drone software platforms handle mission planning, compliance, data management, and operational workflows — shared infrastructure that any manufacturer can build on.
Sensor and imaging companies specialize in precision data collection.
Operators benefit from choice, competition, and faster iteration.

Understanding what building that shared software infrastructure actually requires is where most OEMs underestimate the commitment. Read: What it really costs drone manufacturers to own their software platform.

How American Autonomy Is Betting on Open Drone Infrastructure

At American Autonomy, we’ve bet on this model. Our drone software platform is built in the U.S., hardware-agnostic by design, and secured on U.S.-based servers — built to be shared infrastructure for the commercial drone ecosystem, not a control point. That approach may feel slower at first, but history suggests it is the better long-term investment.

The question for investors is not whether the U.S. drone industry grows. It is whether it grows as a fragile stack or as a durable ecosystem. I believe the second outcome creates far more value for everyone involved.

For more on the timeline and opportunity: Why the U.S. has a 3–5 year window to win the commercial drone market.

Open vs. closed: Why the U.S. Drone ecosystem Model wins for investors

A Software Platform to Unlock Aerial Autonomy for U.S. Agriculture

Thu, 16 Oct 2025 18:41:42 GMT

Software to give farmers control over their drone data and help drone manufacturers gain a competitive edge.

IOWA CITY, IA [Oct. 16, 2025] – American Autonomy, Inc. today shared its vision for a new software platform designed to connect agricultural drone operations to critical data for real-world decision-making. Built for drone manufacturers and designed for farmers, the platform is being developed to address a growing crisis where drone data is locked in closed Chinese systems and U.S. operators are left with few viable options.

Currently, 93% of agricultural drones used in the U.S. are manufactured in China. Most run on proprietary software that restricts access to critical flight and application data. Import restrictions and supply chain disruptions have already impacted drone availability, leaving farmers with expensive, less capable drone options and siloed data. With few alternatives, farmers are forced to pay more for less, while their data remains trapped in the drone. At the same time, farmers are facing a challenging ag economy, marked by rising input costs, shrinking margins and fewer tools built specifically for their operations.

American Autonomy, Inc. is building a different future. One where farmers own their data, drone manufacturers gain a competitive edge through U.S.-developed software technology, and aerial autonomy becomes a key driver of farm productivity and profitability.

“Today, farmers are forced to choose between Chinese drones and their lookalikes, and none of them make it easy to secure or share data,” said Mariah Scott, CEO of American Autonomy, Inc. “We’re building software that puts farmers back in control and gives drone manufacturers the tools to deliver a competitive, American-built hardware and software solution that delivers results for farmers.”

While investment in drone technology continues to grow across the United States, much of it is focused on defense and surveillance. Agriculture, despite its scale and strategic importance, has been left behind. American Autonomy, Inc. is stepping into that gap with software that connects aerial autonomy to the decisions that matter most on the farm.

The software stack will include:

Ground control station software for mission planning and control of spraying and spreading applications.
Drone data manager software for pre-flight and post-flight operations, including field and flight data, pilot and drone management, maintenance and warranty, all stored on secure U.S. servers.
AcreConnect® , the leading operator platform for job management, flight logging, billing, application maps, FAA reporting and connection to the ag ecosystem.

These tools are designed to function either as a comprehensive solution or as standalone products, adaptable to a wide range of drone systems based on specific needs. This flexibility empowers manufacturers to deliver U.S.-developed solutions tailored to the demands of American agriculture.

Exedy® Drones, a Michigan-based drone manufacturer known for automotive-grade quality and precision, will be the first to integrate the full American Autonomy, Inc. software stack into its agricultural drone systems. This partnership will showcase how high-quality hardware and U.S.-developed software can come together to deliver a total drone solution.

“We’re giving manufacturers a way to stand out in the market,” said Mariah Scott, CEO of American Autonomy, Inc. “Our software gives U.S. drone makers like Exedy a complete, connected solution that’s designed for the demands of American agriculture and built to deliver the experience their customers expect.”

This announcement follows the formation of American Autonomy, Inc.; a company focused on delivering software solutions for the American drone industry. The team, formerly part of Rantizo Inc., has been flying and supporting spray drones since 2018.

For more information, vi sit American-Autonomy.com .

Rantizo Inc. Rebrands as American Autonomy, Inc.

Fri, 01 Aug 2025 20:16:23 GMT

IOWA CITY, IA [August 1, 2025] – Rantizo, Inc. today announced the strategic sale of its drone spraying operations business to a specialized investment group with extensive experience in agricultural technology and aerial application services. Under new ownership, the Rantizo brand and name will continue as a trusted leader in drone spraying services, ensuring ongoing expansion and strengthening of its legacy of precision, reliability, and innovation nationwide.

Simultaneously, Rantizo, Inc. has rebranded as American Autonomy, Inc., strengthening its focus on delivering software solutions for the American spray drone industry. This rebranding aligns with the company's ongoing mission to put autonomy to work, starting with spray drones.

“We are thrilled to see Rantizo spray services positioned for significant growth,” said Mariah Scott, former CEO of Rantizo and now CEO of American Autonomy, Inc. “Our evolution into American Autonomy, Inc. allows us to deepen our focus on software, empowering drone operators with tools to manage their season. It’s a strategic leap forward benefiting our team, partners, and customers.”

AcreConnect ® , a cornerstone software product originally developed by Rantizo, will anchor the American Autonomy Inc. portfolio. AcreConnect ® supports drone operators throughout the spray season— from customer management, job creation and flight log management to application map creation and distribution, billing, and FAA reporting. 

A spokesperson for the acquiring group added, “Rantizo has established itself as a trusted leader with unparalleled expertise in drone-based agricultural applications. This acquisition strengthens our ability to bring cutting-edge, technology-driven aerial spraying services to the backbone of American agriculture, empowering growers with modern, dependable solutions. Our commitment is long-term: to build upon Rantizo’s strengths, invest strategically, and drive sustainable growth to serve growers and ag retailers at scale."

To learn more about ongoing drone spray services, visit www.Rantizo.com . Additional information about American Autonomy, Inc. can be found at www.american-autonomy.com .

About American Autonomy, Inc.

Formerly Rantizo, Inc., American Autonomy, Inc. develops industry-leading software solutions, including AcreConnect ® , to support the American spray drone industry.

About AcreConnect®

AcreConnect ®  software helps spray drone operators manage their spray season – from customer management, job creation and flight log management to distribution of application maps, billing and FAA reporting. AcreConnect ®  software is developed, hosted and supported in the U.S., where our team has been flying and supporting spray drones since 2018. 

©2025 American Autonomy, Inc. All rights reserved. Rantizo® is a trademark of Rantizo Inc. American Autonomy ™ and AcreConnect ® are trademarks of American Autonomy, Inc. All other trademarks remain the property of their respective owners.