Landscapers lose jobs because their proposals look like receipts. CurbReady.ai fixes that with AI-rendered before-and-after visuals, seasonal growth projections, and a step-by-step payment schedule tied to every phase of work. We designed the end-to-end experience from user research through a tested, developer-ready prototype.

American farmers manage an average of 466 acres. Most monitor all of it through visual inspection, manual sampling, and headcounts done on foot. It is slow, expensive, and late by the time it catches a problem.

The drone market offers solutions, but not practical ones. Thermal imaging, precision spraying, and field mapping each require their own $15,000+ system. Most farming operations cannot justify that kind of specialization.

AgriDrone is a modular UAV platform designed to replace all three. With quick-swap payloads, onboard soil and air quality sensors, and AI-assisted vision systems, a single unit can monitor crops, track livestock, and run diagnostics across an entire operation.

The design challenge was not building the hardware. It was making a system this capable feel manageable to operators working 12-hour shifts in the field. We designed three coordinated interfaces for a farmer in the field, a technician on a tablet, and a remote support specialist at a desk, each tailored to their environment, expertise, and decision-making role.

Flexibility is only useful when it does not create confusion. AgriDrone delivers both.

It’s not everyday that you get to work with two incredible titans on the same project. The CIA (yes, that CIA) and Arizona State University (ASU) have a long-standing relationship of collaboration. The latest of those efforts was an interactive STEAM (science, technology, engineering, art, and math) hackathon for all ages where groups would be engineering Rube Goldberg-style chain reaction machines with provided materials and an interactive storyline featuring a fictional cartoon character named F.R.E.D. (Friendly Robotic Engineering Droid). The goal of each team’s machine? To “Find F.R.E.D.” and simultaneously prove that your team didn’t kidnap F.R.E.D.