MBody AI is extending its enterprise service robot operations to 11 U.S. states and Canada while advancing a merger with Check-Cap to become a publicly traded company. The move scales its software across a North American service robotics market projected to reach $29 billion by 2031.
Scaling the Orchestrator platform
Founded in 2024, the Las Vegas-based company built a hardware-agnostic platform to manage multi-robot deployments. The Orchestrator system handles deployment optimization, predictive maintenance, and full-fleet coordination for enterprise clients. "Reaching eleven states and entering Canada shows how the Orchestrator platform scales across new markets," said John Fowler, CEO of MBody AI. "As the fleet grows, we generate and assess more data each day."
Check-Cap merger creates public entity
Check-Cap is transitioning from a clinical medical diagnostics company to an embodied AI provider through this merger. Upon completion, the combined entity will offer AI orchestration for robots across hospitality, gaming, commercial real estate, and healthcare. "MBody AI is developing as a critical robotic solutions provider for industries seeking to address labor shortages and enhance service commitments in North America," said David Lontini, chairman and interim CEO of Check-Cap. Shareholders from both companies approved the transaction, and Nasdaq completed its initial listing review in April.
Operational improvements and market growth
The software allows teams to remotely monitor robotic fleets, assign tasks, and convert telemetry data into operational decisions. The platform provides real-time data intelligence that supports broader AI for Operations strategies aimed at reducing manual oversight. In March, MBody scaled an autonomous floor care deployment across a Fortune 500 gaming operator based on measured performance data rather than initial projections.
Why this matters for operations professionals
Managing multi-robot fleets shifts the operational focus from manual task execution to data analysis and fleet coordination. As companies scale their software across North America, operations teams will need to evaluate telemetry data to justify new autonomous deployments. The burden of proof is now on measured performance rather than projected capabilities.
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