Leadership focused on making industrial AI deployable, secure and useful inside real operating environments.
Todd Kemp leads the PHOENIX strategy across industrial sensing, condition monitoring, plant connectivity, secure on-prem AI and engineering decision intelligence.
The operating philosophy is straightforward: industrial AI becomes materially more useful when it can reason across actual machine evidence, maintenance history, production context and engineering knowledge — while the customer retains control of the infrastructure and data.
PHOENIX is being developed around that model: asset sensing provides the evidence, PHOENIX CIP controls access and trust, LabSource provides the local AI environment, and PHOENIX UI turns the resulting intelligence into operational and engineering action.
Technology has to operate within real industrial network, security, maintenance and production constraints.
AI should amplify engineering judgment with evidence and context rather than become an opaque replacement for it.
Turn recurring engineering methods into governed agents, analytics, applications and repeatable workflows.
