
Sean Carr
Founder, MeshTen | President, Mercy Staffing
I’ve spent the last 16 years working in systems architecture, design, and operations, with a career that has taken me from the United States Marine Corps to mergers and acquisitions, healthcare staffing, and now artificial intelligence.
That path started in the Marine Corps, where I learned the importance of structure, adaptability, and execution under pressure. I carried those principles into the business world, working across mergers and acquisitions, operational strategy, and organizational design.
Today, I’m the President of Mercy Staffing, a multimillion-dollar healthcare staffing company I helped build and scale. Running a business in a highly regulated industry exposed me firsthand to the limitations of traditional software: expensive platforms, disconnected workflows, and systems that force businesses to adapt to the software rather than the other way around.
That frustration ultimately led to MeshTen.
What began as building software to solve problems inside my own company evolved into something much larger: an AI-powered software factory designed to make building, operating, and improving software more accessible. Today, MeshTen builds that same kind of software for staffing agencies, clinics, trades, and manufacturers.
My work now focuses on agentic AI systems, multi-agent orchestration, persistent memory architectures, automated software development, and the infrastructure that makes autonomous systems reliable.
I’m not a traditional software engineer, and I don’t pretend to be. My strength has always been systems thinking: understanding how individual components interact, designing the architecture around them, and bringing the right tools and expertise together to execute.
MeshTen is the culmination of that experience: designing systems, solving operational problems, and challenging the assumption that complex technology has to be expensive, inaccessible, or reserved for people with traditional development backgrounds.
I believe the next generation of software won’t be defined by who can write the most code, but by who can design the best systems.