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The intelligence layer for commercial robotic fleets

Lúth orchestrates mixed fleets of mobile, manipulation, and inspection robots inside the operational environments they were built to serve. One platform handles task allocation, safety, telemetry, and the integration with the business systems that actually run the work.

Commercial robotics has matured. The deployment problem has not.

Hardware that was experimental five years ago is now in production. Quadrupeds inspect substations. Mobile manipulators handle warehouse picking. Service robots clean hotels and deliver inside hospitals. The capability exists. The fleets exist. The economics are reaching the point where deployment is a business decision, not a research bet.

What hasn't caught up is the layer above the robot. Operators end up running three or four vendor consoles, writing custom integrations to their facilities and ERP systems, and managing safety and exception handling in spreadsheets. The cost and complexity of operating a fleet outpaces the cost of buying it. Most programmes never scale beyond pilot.

Built hardware-agnostic. Tested in operational environments. Aligned to European standards.

Lúth started from a deliberate constraint. The platform would not be tied to a single hardware vendor, and it would not be tested only in simulation. Anything we built would need to run on the robots commercial buyers were actually evaluating, in the environments those buyers actually operated.

The early work focused on the orchestration layer. We built integrations against ROS 2 and NVIDIA Isaac to support the bulk of commercial mobile and manipulation platforms. We engineered fleet coordination patterns that handle mixed-vendor fleets without treating each robot as a special case. We tested task allocation, exception handling, and human-in-the-loop oversight on hardware from multiple suppliers.

Hardware-agnostic orchestration over ROS 2 and NVIDIA Isaac

Mixed-fleet coordination across mobile, manipulation, and inspection robots

Operational testing in hospitality, facilities, and pharma logistics environments

Safety architecture aligned to European Machinery Regulation

EU AI Act readiness for autonomous and semi-autonomous systems

An orchestration platform that operates fleets, not just individual robots.

Lúth handles the layer above the hardware. Task allocation across mixed fleets. Safe coordination in shared spaces with humans. Telemetry, exception handling, and the integrations that connect the fleet to the business systems running the operation.

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Mixed-fleet orchestration

Task allocation across robots from different vendors. The platform treats hardware diversity as a feature, not a barrier.

Operational safety

Shared-space coordination with humans, safety zones, and exception handling aligned to European Machinery Regulation.

Business system integration

Connectors for ERP, facilities management, asset management, and warehouse control systems. The fleet plugs into operations.

Telemetry and analytics

Real-time visibility across the fleet, performance analytics, and operational reporting in the formats your business already uses.

Human-in-the-loop oversight

Configurable supervision points for high-stakes decisions. Operators see, intervene, and approve where the policy requires it.

Managed or self-operated

Run by the Lúth team as a managed service, or deployed and operated inside your environment under your governance.

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Hardware-agnostic. Standards-aligned. Production-ready.

Lúth sits on the open robotics frameworks the industry has standardised on, integrates with the business systems operators already run, and operates inside the regulatory regimes commercial deployment now requires.

Robotics frameworks

ROS 2 native integration
NVIDIA Isaac compatibility
Hardware abstraction layer

Hardware support

Quadrupeds, AMRs, manipulators
Inspection and service robots
Multi-vendor fleet support

Business integrations

SAP · Oracle · ServiceNow
Facilities and asset management
Warehouse control systems

Standards

European Machinery Regulation
ISO 13482 (personal care robots, aligned)
ISO 10218 (industrial robots, aligned)

Security and residency

EU data residency by default
ISO 27001 controls
Edge and cloud deployment

Compliance

GDPR aligned
EU AI Act readiness
NIST CSF mapped

Have a fleet you are trying to put into production?

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