All Foundries

Isometric blue-and-white model of an energy and logistics network with a docked cargo ship, solar panels, factories, office buildings, pipes, trucks, workers, and stacked materials.

Commodity Management & Trading

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

Isometric illustration of a bright modern office with glass meeting rooms, people working at desks, large data dashboards, presentation screens, plants, and studio lights.

Customer & Marketing Strategy

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

Isometric 3D smart city model with white-blue buildings, cranes, power grids, map pins, and people using tablets around connected infrastructure platforms.

Digital Engineering

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

Isometric 3D model of a white-and-blue EV charging station with canopy, office buildings, small cars, delivery van, chargers, planters, and tiny people.

Station Studio

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

Isometric 3D logistics campus with white modern warehouses, blue-green accents, workers, delivery vans, a loading dock, and stacked shipping containers.

Supply Chain & Industry 5.0

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

White-and-blue sustainable campus with solar panels, a wind turbine, EV charging stations, loading dock trucks, trees, and small groups of people.

Sustainability

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

Isometric smart factory scene with white buildings, robotic arms on assembly lines, drones, autonomous carts, workers, control screens, and a fenced power substation connected by blue paths.

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.

Isometric 3D smart infrastructure scene with white roads and buildings, blue data lines linking control rooms, vans, a rail crossing, drone, workers, and trees.

Next-Gen Infrastructure

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

Testudo: Security and Resilience through Advanced Robotics

Critical infrastructure has to detect and answer threats without putting people in harm's way. Testudo, a European-financed project, develops autonomous robotic solutions for monitoring, detection and response in sensitive environments. NTT DATA contributes robotic intelligence and automation, backed by its expertise in AI, computer vision and robotics.

Testudo: Security and Resilience through Advanced Robotics

Improving workplace safety with machine vision

On a warehouse floor, forklifts and people share the same aisles all day. A leading energy technology company needed safety monitoring able to scale, without the integration and maintenance costs of its legacy tools. NTT DATA built a modular, vendor-independent platform which combines real-time indoor positioning with computer vision to monitor people, machines and assets and alert the team as risks appear.

Improving workplace safety with machine vision

Contact

Smart Robotics for Data Center Automation

Data centers depend on skilled staff to read meters, check lamps and notice odd appearances or strange odors, and those people are getting harder to find. NTT DATA put autonomous patrol robots with cameras and sensors on these routine rounds, which used to take skilled workers 1 to 2 hours every day.

Daily inspection time: 1-2 hours

Routine rounds moved from skilled workers to robots.

Inspection scope: Meters, lamps and anomalies

Cameras and sensors cover the daily checklist.

Work style: Remote

Specialists follow inspection results away from the site.

Expert know-how: Turned into data

Experience from the field becomes information the team visualizes.

Smart Robotics for Data Center Automation

Stable data center operations with fewer skilled hands on routine checks

Objectives

Save labor in equipment management and run inspections more efficiently with digital technology.

Opportunity

Robots take over the repetitive rounds, and expert knowledge becomes data the whole team uses.

A purchasing cycle built on manual work

Invoices passed through many hands. The team spent hours on tasks a system completes in minutes, and managers lacked a clear trail for each purchase.

Key Challenges

1: Labor shortage. Building management struggles to staff routine operations.

3: Daily manual rounds. Meter readings, lamp checks and visual inspections took 1 to 2 hours every day.

3: An organization built for manual work. Roles and responsibilities were not designed for automation.

4: Knowledge held by individuals. Expert know-how stayed with each worker and was hard to pass on.

Solution

Autonomous patrol robots with cameras and sensors

NTT DATA targeted routine equipment inspection and moved the work to autonomous patrol robots. The work draws on NTT DATA’s operation of one of the three largest data center platforms in the world outside China, and appears in NTT DATA public announcements from 2022 and 2023.

Meter reading

The robot’s cameras read the meters along each inspection route.

Lamp checks

The robot verifies status lamps on equipment panels during the patrol.

Anomaly detection

Cameras and sensors flag abnormal appearances and strange odors.

Data for remote work

Inspection results arrive as data, so specialists review them without walking the floor.

Impact

Skilled hours back and expertise on record

Robots reduce the 1 to 2 hours of daily inspection work, and specialists move to higher-value tasks. Remote checks over secure networks prepare the operation for IOWN, and fewer site visits support the energy goals of next-generation data centers. The know-how of skilled workers becomes visible through data.

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