Industry has trillion-dollar problems.
We build software to fix them.
There are Massive Economics at Stake
Many Legacy Systems Structurally Hinder AI-Driven Automation
There is Market Confusion about AI for Industry
Getting it Wrong Can Mean Big Losses
Getting it Right Wins Margin and Market Share
Forbes and Industry News report $8 Trillion in annual inefficiency losses in the F500.
Siemens reports that $1.5 Trillion of those leaks are from equipment downtime with the annual costs increasing.
These numbers multiply across small and medium-sized businesses (SMBs).
SMBs make up more than 90% of manufacturing businesses in the U.S. and produce more than 40% of our output.
Many systems are disconnected, fail to preserve system state, and are hard to access for people who do the work. They were also not built with AI in mind.
As much as 80% of industrial data goes unused - IDC
70% of digital transformations fall short of expectations - McKinsey
Only 30% of Industrial Data is used for making decisions - Forrester
Physical AI starts on the edge, from the machine up, not the cloud down.
That is where our team lives - with decades of field experience - designing machines, processes, and control systems - commissioning and operating plants - building software for mission-critical operations. We built our company and our products to address big, physical problems in a serious way.
Shawn Davis
Senior software executive with $100M+ P&L responsibility and leadership of hundreds of developers across mission-critical government special-operations and commercial systems.
John Gaus
Computer, electrical, and process engineer, serial entrepreneur and technologist who has built, commissioned, and operated chemical process facilities and distributed energy assets with teams across 5 countries.
Cody Morse
Master builder and mechanic. Significant experience with robotic automation, sensors, drives, control systems logic, and data analytics. United States Marine - distinguished and honorable service.
Mark Piwowarski
Software development executive with proven leadership of large teams and project success in complex, mission-critical, clearance-level programs to architect and build software that cannot fail.
Ralph Roland
Accomplished systems architect and proven problem solver for complex cloud, edge, physical, and control software systems for commercial and government special-operations.
Nathan Skelton
Software architect for large-scale, mission-critical systems, deep tech experience with sensors, time-series data, and automation, significant clearance-level work.
Stealth
The most talented control systems programmer and drives expert we have met anywhere in the world. Prefers to work unnamed.
Connect with us to learn about joining the team. We are always open to adding top talent with domain expertise and the drive to achieve big outcomes.