Praxis is an agent system that actively makes decisions with humans to face every layer of uncertainties in factory operations. The system build the tunnel through which agents understand and operate factories, featuring context-aware decision making, boundary-setting between agent and human control, and network-forming capabilities that connect decisions into a global network.
3
Clients
$2.5M
ARR
CEO
An AI agent system that runs factories by actively making decisions with humans to manage uncertainty across production operations. Features three core capabilities: context-aware decision making that builds its own context for every decision, boundary-setting that defines where agents act versus where humans decide, and network-forming that connects every decision into one global network. Uses the CDO Protocol (Context-Decision-Outcome) as the minimal component of agent system communication, translating every outcome into another context. Designed to replace middlemen in supply chains and save at least 30% of industrial profit.
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