Robot Fleet Control, Unified Management

Built on standard, vendor-agnostic interfaces, the platform runs different robot types — logistics, guide, and patrol robots among them — from one monitoring & control screen. Its modular architecture lets you add new robots and equipment even during operation.

Yes. As in the OO Medical Center project — where elevator API integration enabled autonomous navigation on every floor — our builds cover access control and other infrastructure. Scope and schedule are set at onboarding, after a site assessment.

The platform is designed with integration into existing operating systems in mind. It links robot control data with the systems already in use on site, so your team isn't running two systems in parallel.

Depending on scale and complexity, small systems take about 3 months and large platforms 6 months or more. After an on-site assessment during the initial consultation, we finalize phased goals and a schedule.

Even if communication with the monitoring & control server drops, each robot falls back to its own safe-state behavior. Once reconnected, operating history and robot status sync to the control screen automatically.

We apply AI to real-time data analysis, predictive maintenance, and route optimization. Models are built around your site's specific operational needs.

We provide ongoing monitoring, maintenance, and upgrades after the system goes live. A dedicated support channel responds quickly to on-site issues.

We follow industrial security standards and keep operations secure with data encryption, access control, and regular security audits. Deployment is shaped to fit your site's security policies and infrastructure requirements.