Creating an AI prototype has become faster and more accessible, but turning an early concept into a dependable product remains a defining challenge for startups. TechCrunch Disrupt 2026 will address this transition in a session focused on how emerging technologies move from controlled testing to reliable, scalable use.
From promising demo to dependable product
The session, titled "From Prototype to Production: Can It Scale in Reality?", will examine the practical foundations behind successful deployment. Manufacturing capacity, resilient infrastructure, operational consistency and performance in changing environments can all determine whether a technology is ready for customers.
Hosted on the Real World AI Stage, the discussion brings together leaders working across space communications, autonomous machinery and engineering platforms. Their perspectives highlight that production is not simply a larger version of a prototype; it requires new systems, processes and long-term reliability.
Three perspectives on scaling
John Mackey, co-founder and CEO of MBRYONICS, will share insights from scaling photonics manufacturing for optical communications in space. His experience illustrates how advanced hardware companies must develop production capability alongside their core technology.
Boris Sofman, co-founder of Bedrock Robotics, will discuss the demands of deploying autonomous systems beyond controlled environments. His work in autonomous vehicle technologies offers a perspective on designing systems that can deliver consistent performance in daily operations.
Adrian Macneil, co-founder of Foxglove, will focus on the infrastructure layer behind autonomy. Data platforms, testing workflows and engineering tools play a central role in helping complex systems evolve from experimentation into practical, repeatable products.
Taking place in San Francisco from October 13 to 15, TechCrunch Disrupt 2026 will convene founders, investors and technology operators around the forces shaping innovation. The prototype-to-production conversation offers a useful lens for builders seeking to turn technical ambition into trusted products.
As AI and autonomous technologies mature, the ability to scale responsibly may become as important as the breakthrough ideas that first bring them to life.
