Who We Are
Gagamba was founded on a straightforward observation — building maintenance is dangerous, costly, and overdue for disruption. We set out to build autonomous drone technology that removes people from harm's way entirely.
Our team brings together expertise across mechanical engineering, civil engineering, and computer science, combining hardware precision with intelligent software to create a drone built for real-world conditions.
We've engaged directly with companies in construction and property management to understand the industry's needs and validate our approach. Every decision we make is informed by research and real feedback from the field.
Backed by aerospace expertise and a drive to solve problems that matter, Gagamba is building technology that makes buildings safer to maintain and more efficient to operate.
The People Behind Gagamba
Mechanical Engineering
Leads the physical design and build of the Gagamba drone. Focused on making sure the hardware is sturdy, precise, and flight-ready.
Computer Science
Works on the software side of the drone. Helps connect the different systems together and keeps the codebase running smoothly.
Computer Science
One of the hands-on builders of the drone's software. Helped develop and put together the codebase that powers how the drone thinks and operates.
Civil Engineering
Brings a structural perspective to the project. Helps the team understand how the drone will interact with real buildings and surfaces.
Computer Science
Contributes to the software and embedded systems work. Helps bridge the gap between code and the physical hardware on the drone.
Civil Engineering
Focused on how the drone applies to real-world infrastructure. Thinks about deployment from a practical, on-the-ground perspective.
Political Science
Handles the regulatory and policy side of the project. Researches the legal landscape around drone usage and helps navigate compliance requirements.
Mentor
Mathematics professor specializing in aerospace. Brings deep technical expertise to the team, guiding the math and physics behind the drone's flight and control systems.
