What We Do, How We Do It, Why It Matters
Learn about what we do, how our experience influences how we do it, and why we're motivated to make a difference.
What We Do
We build software products and provide custom software development services with a focus on pre-construction and estimating.
How We Do It
We use innovation to leverage the best available technology. This includes game engines, computer vision, and machine learning.
Why It Matters
We want to make an impact on projects all over the world. We believe digital solutions in construction will scale to change how we build. That's our goal.
Deep Reinforced Learning for MEP Coordination
This video shows deep reinforcement learning applied to the problem of corridor coordination of MEP systems. M2x.ai used Google Tensorflow to train an AI how to coordinate the pipes, conduit and duct that traverse a corridor.
The machine created 1.2 million solutions - all buildable and without clashes - as part of the deep reinforcement process. This work was research intended to explore approaches to MEP autorouting. To our knowledge, it was the first in the world (September 2019) to use deep reinforcement learning to spatially coordinate MEP systems.