Startup Spotlight: Sam Rogers is building Brumby around autonomous cattle-herding drones

In January 2026, Brumby raised a reported $1.2M pre-seed round; YC launch materials said it was onboarding early partners, while revenue, customer count and deployments remain undisclosed.

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Primary source: Y Combinator

Why it matters

Brumby's autonomous-drone model could reduce recurring labor and aircraft costs without putting hardware on every animal. Revenue, customer count, active deployments, pilot-to-paid conversion and independent field-performance or animal-welfare data remain undisclosed, leaving repeatable commercial operation as the central test.

An autonomous drone hovers over a small herd of cattle on a vast, dry ranch under a clear blue sky.

Sam Rogers is building Brumby around a job he learned before he studied robotics: moving cattle across a large Australian station without losing the day to motorbikes, horses and helicopters.

Brumby develops autonomous drones that find a herd, position themselves around it and guide the cattle toward a destination selected by a rancher. Y Combinator lists Brumby as part of its Winter 2026 batch. Brumby later changed its name from GrazeMate to Brumby.

The founder-product connection is unusually direct. Rogers grew up near Bowen in North Queensland, where his family runs roughly 6,000 cattle. He later studied robotics at the University of Sydney, then left the program in 2025 to turn his family's mustering problem into Brumby.

His preferred summary is tighter: "Spent half my life on a cattle farm, and the other half building robots," Rogers writes in his YC profile.

A robotics project before the ranch business

Brumby was not Rogers' first attempt to send computer vision into the physical world. Before founding Brumby, he built a robotic arm that identified and sorted electronic waste, according to CSIRO's account of the project.

That early machine looks like a smaller version of the bet behind Brumby: perception software becomes useful when hardware can make a correct physical decision under messy conditions. An e-waste conveyor offers a controlled stream of objects. A cattle station adds weather, uneven terrain, gates, trees and animals that respond differently from one minute to the next.

Herding cattle requires a drone to produce movement without causing animals to scatter or become distressed. Brumby has not published independent field data showing how consistently its system manages that balance.

Teaching the drone to make the decision

Brumby's stated distinction is autonomy. The drone is supposed to locate cattle, plan their movement and adjust its position as the mob responds. Rogers told Forbes Australia that missions can be run through a phone app and that the system sends operational updates.

In Brumby's original YC launch material, Rogers described software that reads animal behavior, applies pressure like a stockman and learns how a herd responds after each move. He separately described proprietary reinforcement-learning models that make real-time herding decisions to AgFunderNews.

At the time of that AgFunderNews report, Brumby was running its software on off-the-shelf DJI drones, with the startup's computing equipment installed at a base station alongside a DJI charging station. AgFunderNews also reported that the company leased the drones, supplied the software and charged a monthly fee based largely on ranch size and cattle numbers. It did not disclose an exact monthly price.

Brumby's public materials describe the system as physical AI for cattle operations, while independent testing of its field autonomy has not been published.

Brumby says its drones can also count cattle, estimate weights, measure pasture biomass, monitor water and flag potentially sick animals, but Brumby has not published independent accuracy, safety or animal-welfare results for those functions.

Those additional functions could widen the value of a contract, but each brings a separate technical burden. Moving a herd through a gate, estimating an animal's weight from aerial imagery and identifying sickness are different problems with different tolerances for error.

The gap between pilots and deployment

Brumby claims commitments covering 1.7 million acres across Queensland and New South Wales. The public record does not establish how many operations are paying customers or active autonomous deployments.

Rogers told AgFunderNews that Brumby was working with two pilot farms in Queensland and New South Wales and mustering thousands of cattle per week. In a later Trade Farm Machinery profile, Rogers said the company, then called GrazeMate, had worked with more than 500,000 cattle over the preceding six months and had a waiting list covering almost 2 million more. Those historical figures were reported claims from Rogers rather than independently audited deployment data. Neither account establishes how many pilots converted into paid, recurring contracts, and Brumby has not disclosed its current pilot or deployment count.

That distinction matters for Brumby's physical-AI model. A successful supervised trial shows that the control system can work in a defined paddock. A commercial deployment has to handle hardware maintenance, charging, connectivity failures, weather, livestock welfare, staff training and regulatory approvals over months of use.

Brumby's product site claims the system cuts mustering costs roughly in half, says one drone can typically maintain control and tracking for herds of up to 2,000 animals, and says the system can switch to a local connection when cellular service is unavailable. Brumby has not published independent evidence supporting those performance claims.

In Brumby's YC launch post, Rogers said US ranches can spend between $10,000 and $1 million annually moving cattle, depending on the operation. Brumby has not released customer-level cost comparisons or the assumptions behind that range.

The pitch is strongest on large properties that move cattle frequently, where an autonomous system could reduce repeated labor and aircraft expenses. The economics are less obvious for farms that muster only seasonally or already have available staff and equipment. Brumby's monitoring functions could support a recurring contract between musters if the measurements prove accurate enough to affect grazing and animal-management decisions.

The financing behind the field test

In January 2026, Brumby raised a reported $1.2 million pre-seed round led by Y Combinator, with Antler and NextGen Ventures participating, according to AgFunderNews. Forbes Australia also listed Meat & Livestock Australia as a participant. YC dates its linked news item to January 13th, while Forbes published its report on January 14th. No valuation was reported.

The investor lineup reflects the main risks Brumby must resolve. Backers are betting on a young founder with direct technical and agricultural experience. The capital still has to cover field testing and support infrastructure that software-only seed businesses can postpone.

Rogers was 19 when the round was reported. Forbes Australia reported that Brumby had expanded from Queensland and New South Wales into California.

Collars, pilots and competing robot cowboys

Brumby is entering a cattle-automation market with well-funded alternatives. Halter describes its system as a collar-based virtual-fencing and herd-management product, while Nofence explains that its livestock virtual-fencing service uses GPS collars and audio warnings to enforce app-defined boundaries.

In March 2026, Halter said it had sold one million solar-powered, GPS-enabled collars and raised a $220 million Series E at a $2 billion valuation, led by Founders Fund. Those are Halter's figures, but they indicate the operating and financing scale against which livestock-automation providers are being measured.

Brumby's architecture avoids installing electronics on every cow. A drone could serve a herd and inspect a property during the same flight, though it has to be launched, remain airborne, keep the herd in view and apply effective pressure across changing terrain.

Brumby also faces drone-based competition. An Actuator Digital case study describes SkyKelpie, an autonomous livestock-mustering drone project, using YOLO-based cattle detection, terrain-aware pathfinding and DJI flight controls to locate, move and settle a mob under defined field conditions. A later Meat & Livestock Australia project report recorded 63 on-farm adoptions of drone technology for mustering during its reporting period.

Autonomous drone mustering is already a technical category with multiple participants. Brumby's opportunity lies in packaging autonomy, recurring missions and operational support into a system ranchers can use without becoming drone pilots.

Airspace is part of the system

Brumby's remote operations also face aviation rules. Beyond-visual-line-of-sight approvals are a key issue in Australia and the United States, especially for autonomous flights over large, remote properties. The relevant Australian guidance for complex drone operations and US drone traffic-management materials describe regulatory and operational considerations for extended drone flights.

Rogers brings firsthand cattle-station experience and robotics study to Brumby. The January 2026 round put outside capital behind his attempt to combine them.

Brumby has a founder closely matched to the problem, but revenue, customer count, deployment count, pilot-to-paid conversion and independent field-performance data remain undisclosed. Brumby's commercial test is whether supervised field trials become repeatable deployments that ranchers continue paying for after pilots end.

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