Full House Drones

Drones are one of the deadliest threats to warfighters today. CUAS teams can’t afford weak training data. They need real-world data beyond the test range to prepare for every threat vector. That’s exactly what Full House Drones delivers. Operators across the US. Diverse environments and scenarios. High-quality data CUAS teams actually need for next-gen CUAS models.

@rcanedesignwrks The living and breathing kind, or the metal and battery kind? We know a thing or two about the latter.

@fullhousedrones Hogs are just target number 1, wait until you find out about avian pests.

Love this. What's the TAM for hog training data? Asking for a friend.

"Drone warfare changes the structure of violence in society[.]" Which means CUAS is going to matter far beyond the battlefield. The best defense starts with the best training data. That's what Full House Drones is building.

We fly at dawn.

The DoW wants passive detection, classification, ranging, and tracking of Group 1/2 drones against cluttered backgrounds, on moving platforms, day and night. Every team submitting to DIU's new CUAS solicitation is about to find out if their training data is ready for that.

@VisforVeteran @DIU_x We should chat @VisforVeteran. We're always looking for new drones and operators.

@DIU_x HMU if you need drones or pilots for testing!

Our Endpoint Accuracy 2: CUAS Close-In Kinetic Defeat Enhancement solicitation is now live. The DoW is seeking innovative technologies to enhance the lethality of integrated weapons and fire control systems, with a focus on improving effectiveness of remote weapons systems against Unmanned Aerial Systems (UAS) in support of the Counter-UAS (C-UAS) mission. Part one focuses on the integration of hardware and/or software that enables Aided Target Recognition (AiTR) (also known as Aided Target Detection and Recognition, AiTDR) to improve existing RWS capabilities. Part two and three will evaluate new RWS stations and next-generation enhancements to existing small arms systems. Part four focuses on integrating and enhancing capabilities that enable weapon systems to fully connect and synchronize with sensors, fire control, targeting, and command-and-control systems, operating as part of a coordinated, networked kill chain rather than as standalone platforms. Learn more and apply here: diu.mil/work-with-us/s… Solutions requested by May 15 at 11:59:59 p.m. Eastern Time.

@allencontrol @DroneUltimatum Well deserved recognition! @allencontrol has the hardest working team in the business.

"And that new very special machine gun that knocks them out of the air like flies...." Thank you Mr. President, it is our honor to get the @allencontrol systems Bullfrog in the fight!

YC wants to fund the counter-swarm stack; a logical next step for CUAS product roadmaps. The founders who build it will need real swarm flight data to train on. That's exactly what we're building toward.

@AskariDefense Performance in the real world requires real world data. Are you training your models with data beyond the test range yet?

Rift Alpha during target practice testing. In a space where claims, slick sheets, and designs are easy to produce, Askari focuses on proving performance in the real world. This testing uses surrogate targets to validate core system behavior, identify edge cases, and rapidly iterate toward reliable, fieldable capability. As low-cost drones continue to reshape the threat environment, demand for scalable, attritable interceptors is accelerating across defense and security sectors. The challenge now isn’t just building interceptors. It’s building ones that can be produced and fielded at scale. #AskariDefense #CounterUAS #Defense #NationalSecurity

This is why we exist. CUAS teams can't win contested airspace with weak data, and now the Pentagon is making sure they don't have to settle.

@SebaAsprella Couldn’t have said it better. Need more diverse data @SebaAsprella ? Let’s chat.

In this market, the hard part is not just detecting a drone once. It is maintaining reliable tracking in cluttered real-world environments, at practical cost, with a deployable architecture. That is where interesting tech becomes real capability.

Our data trains CUAS technologies that won't let spy drones fly freely for long