All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

Physical AI Orchestrator for Robotics at Scale

Moving intelligent robots from demonstration to dependable operations takes more than a capable machine. An industrial organization created a Physical AI framework that connects virtual training, mission orchestration and reusable robotic functions, establishing a structured path from simulation to real-world deployment.

A utility field engineer walks beside a humanoid inspection robot through an electrical substation, with a wheeled robot operating farther along the service lane.

Mission orchestration

Centralized planning, execution and monitoring

Physics-based validation

Simulation supports deployment-risk reduction

Modular functions

Navigation, perception and manipulation reusable

Scale foundation

Long-term robotics roadmap enabled

Wheeled, quadruped and humanoid robots work across a hydroelectric power station while utility technicians observe operations from a safe area.

From robotics pilots to a scalable Physical AI operating model

One framework connects virtual training, mission control and reusable robotic capabilities for safer, repeatable deployment.

Robotics could not scale while simulation, mission management and field execution remained separate.

Objectives

The initiative set out to industrialize robotics deployment across plant environments. Its ambition was to bring orchestration, simulation, reusable functions and continuous learning into one methodology, so teams could design, test and deploy robotic applications with a more consistent approach to operational risk.

Opportunity

The deployment-factory model creates a path to multi-site robotics programmes that are not tied to one robot form factor. In utilities and other asset-intensive settings, the same approach could support repeatable inspection, maintenance and remote-execution workflows, provided each use case is validated against its operating environment, safety requirements and success measures.

Turning promising robotics into repeatable operations

The client needed a coherent operating model that could connect development, validation and field execution while producing evidence that operational teams could review, trace and reuse.

Key Challenges

Engineers work on separate robot prototypes at isolated stations inside a utility maintenance workshop beside electrical infrastructure.

1: Disconnected development environments
Robotic applications were developed across separate tools and environments, limiting consistency between simulation, mission design and physical execution.

A humanoid robot is tested in a controlled training area beside a live electrical substation as engineers observe from behind a safety barrier.

2: A difficult simulation-to-field transition
The initiative required physics-based validation and digital-twin synchronization to reduce deployment risk before robots entered real operations.

A quadruped inspection robot enters a narrow underground power cable tunnel while a utility technician remains behind a protective gate.

3: Field evidence that must become actionable
Robotics, machine vision and other physical technologies can generate large volumes of evidence. Engineering, operations and maintenance teams needed a workflow to review, trace and act on it.

Utility technicians prepare a mixed fleet of humanoid, wheeled and quadruped robots in a transmission maintenance staging area.

4: Scaling beyond isolated pilots
Moving into broader operational use required reusable robotic functions, repeatable missions and centralized coordination across different robot types.

Solution

A deployment factory for Physical AI

The delivery model linked robot development, virtual and physical validation, mission orchestration and operational follow-up in an end-to-end framework designed for reuse.

Unified Physical AI framework

A common framework bridged simulation and real-world robotics, creating a consistent foundation for application development and deployment.

Virtual and physical training

Physics-based simulation and synchronized training environments allowed robotic behaviors to be tested before transition into operating settings.

Operational evidence workflow

Field capture, processing, review and follow-up were connected so physical-world evidence could move into engineering and operational decisions.

Central orchestration and reusable functions

Mission planning, execution and monitoring were centralized, while modular capabilities for navigation, perception and manipulation supported repeatable use across missions.

Impact

A stronger foundation for robotics at scale

The initiative established a scalable robotics deployment-factory methodology, using physics-based simulation and digital-twin synchronization to support deployment-risk reduction. Reusable functions for navigation, perception and manipulation provide a foundation for long-term Physical AI and humanoid robotics deployment.

Featured
success stories

Empowering field operations through digitalized service management and improving safety conditions trough connected worker technologies

View all success stories