Perception
Acquire and interpret time-aligned signals.
Products & services
One loop. Many machines.
A common cybernetic foundation, adapted to the sensors, constraints and actuators of each real system.
Flagship platform · In development
ARC
Adaptive Real-time Cybernetics
ARC is a modular control architecture for agents and machines that need to learn continuously while they operate. It connects raw perception to an explicit world state, evaluates possible action, records the outcome and refines its causal knowledge.
The first validation target is deliberately small: learn the effect of movement through intervention, predict the result and use that knowledge to reach a goal without a hard-coded navigation rule.
World model
Maintain beliefs, confidence and provenance.
Causality
Predict effects and test them against outcomes.
Volition
Choose actions under goals, costs and risk.
Actuation
Dispatch capabilities and learn local effects.
Engineering services
Built around the operation, not a template.
We start with the environment and the outcome that matters, then define the smallest viable sensing, decision and actuation loop.
Discovery & feasibility
Map the process, relevant signals, constraints and available actions. The result is a concrete architecture and validation plan, not a generic AI roadmap.
System engineering
Design and build the software, local compute and hardware interfaces required for a purpose-built cybernetic system.
Integration & deployment
Connect the system to existing machinery and operational infrastructure, with controlled rollout and measurable acceptance criteria.
Licensing & support
Operate, monitor and improve deployed systems through a long-term technical partnership.
Current focus