Areyk Api is a coordination layer for industrial robotic fleets, enabling real-time swarm intelligence, predictive routing, and secure machine-to-machine orchestration across distributed facilities.
Synchronizes thousands of robotic agents using predictive path modeling and congestion-aware routing.
Sub-20ms command propagation across distributed warehouse nodes.
AI assigns workloads dynamically based on battery, traffic density, and task urgency.
Traditional robotics systems rely on centralized controllers, which create latency bottlenecks and single points of failure. As warehouse and manufacturing fleets scale into thousands of units, control-plane congestion increases exponentially.
Areyk Api introduces a decentralized swarm-control model where local edge coordinators manage robotic clusters while synchronizing with a global predictive orchestration engine.
Simulation studies demonstrate up to 38% workflow efficiency gains and improved resilience during node outages, validating the scalability of distributed robotic infrastructure.