Brian Geisel

Brian Geisel has spent more than a decade leading teams that build production-grade robotics, embedded, and AI systems for organizations where failure isn’t an option including NASA, iRobot, and Teledyne FLIR. Under his leadership, the Geisel team has delivered solutions across the full stack, from bare-metal firmware and real-time operating systems to autonomous navigation, AI/ML integration, and the synthetic data pipelines that make reliable training possible when real-world data falls short.

While leading the development of a high-fidelity simulation of the Martian landscape for a NASA mission, Brian and his team encountered a recurring challenge: the lack of high-quality, edge-case data needed to train AI systems that perform reliably in the real world. It was a problem his clients faced again and again.

He created Symage to solve it, a physics-based synthetic data platform that enables teams to build and validate AI without relying on costly or impractical real-world data collection.

Brian is known for bridging the gap between cutting-edge AI and real-world deployment — building systems that don’t just work in theory, but hold up in the field.