SPEAKER · INDUSTRY EXPERT
Brian Geisel.
Founder of Geisel Software and Symage. Speaker on autonomous systems, machine perception, synthetic data for AI training, and the engineering behind machines that have to work the first time.
Founder of Geisel Software and Symage. Speaker on autonomous systems, machine perception, synthetic data for AI training, and the engineering behind machines that have to work the first time.
Most technology speakers talk about what’s next from outside the work. Brian Geisel talks about it from inside the build: software his teams ship today on NASA missions, in fleets of warehouse robots, in surgical and pharmacy automation, and in the autonomous platforms quietly running modern industry.
Brian founded Geisel Software in 2011 and built it into a US-based engineering firm specializing in software for autonomous systems, embedded devices, and machine perception.
He later founded Symage, the physics-based synthetic data company producing correlated training data for AI applications across defense, industrial, medical, and agricultural ML. Brian serves as Chief Innovation Officer at Geisel Software and as CEO of Symage. In 2020, the U.S. Small Business Administration named him Massachusetts Small Businessperson of the Year. He hosted the Solving for Tomorrow podcast and has been featured in Forbes, Entrepreneur Magazine, and other major outlets.
Brian’s audiences come away with two things they don’t always get from a tech keynote: a clear technical view of where autonomous systems and physical AI are actually going, and a working operator’s perspective on what it takes to build software for systems that can’t afford to fail.
A former radio host, Brian translates engineering depth into language audiences understand, without flattening it into platitudes.
Brian’s talks are anchored in the work his teams have actually delivered. They scale from 30-minute keynotes to half-day workshops, and from C-suite audiences to engineering deep-dives.
What software has to get right when there’s no patch, no rollback, and no operator standing by. Drawn from work for NASA, defense primes, and large-scale industrial deployments.
How the Think / Decide / Act framework, perception, decision software, and operator control, actually composes into systems that work outside the lab.
Why training data scarcity is the bottleneck most ML teams underestimate, and how physics-based synthetic data, the core thesis behind Symage, the synthetic data company Brian founded, is reshaping how perception, document, and tabular AI models are built across defense, industrial, medical, and agricultural applications.
Lessons from designing software for cooperative multi-robot systems, from lunar exploration to fulfillment-scale warehouse fleets.
What defense, aerospace, space, and medical have in common: a working operator’s perspective on the engineering practices that survive missions where failure isn’t acceptable.
The case for US-based software partners: why the software half of “reshoring critical capability” matters as much as the manufacturing half, and what changes when your engineering team is in your time zone.
Deploying machine learning on resource-constrained hardware in environments where the cloud isn’t an option: defense, space, industrial, agricultural.
Brian regularly tailors talks to specific audience contexts. Request a custom topic in the speaking-request form below.
Brian has shared the stage with engineering leaders, founders, and operators at the events shaping where autonomous systems, robotics, and physical AI go next:
Brian accepts a limited number of speaking engagements each year. Tell us about your audience, format, and timing, and we’ll be in touch within two business days.
If you’re not ready to book Brian for an event but want to stay current on what he’s talking about and where he’s speaking next, there are two ways to follow along: