HCLTech Robotics Intelligence CoE

Overview

Description

HCLTech has deep roots in , and over the past four decades, we have developed the expertise and understanding of what drives success in the technology industry. 

Our unique position in both product and service development allows us to connect with our tech clients in a way that others can’t – bringing together a culture of innovation, agility and risk-taking to drive towards business outcomes. 

300+

Robotics SMEs

25+

Robotics patents

60+

AI innovation labs globally

17

Named Top Employer in 17 countries

Our Solutions

Data collection and refinement

Data collection and refinement

Understanding your lab data reduces downtime, lowers costs and improves productivity. HCLTech’s deep expertise in data modernization and analytics means you’re working with a strong data team to ensure robotic hardware and software configuration control and robust reporting that keeps all stakeholders informed.

Maintenance and repair

Maintenance and repair

The health of your robotic fleet is critical. Managing inventory, optimizing procurement and anticipating supply chain challenges require a partner that has “been there, done that” across multiple industries. Our proven predictive and proactive maintenance best practices enable efficient resource allocation, reduce cost and support seamless expansion.

 Hardware engineering for robotics

Hardware engineering for robotics

Maximize efficiency and prove ROI across diverse environments while adhering to safety protocols and minimizing risk. Our expertise in robotics hardware engineering for robotics helps our client manage the cost of workforce training and system and lifecycle management.

Our Differentiators

Robotics CoE

End-to-end robotics lifecycle support from concept, data collection, maintenance and repair, deployment, inventory management and lab operations for mobile and fixed robots, AMRs, robots and drones.

Strategic robotics ecosystem partnerships

We collaborate with NVIDIA, Boston Dynamics, ABB, Unitree, InOrbit and more. We leverage NVIDIA Isaac Sim, Omniverse, and MuJoCo for virtual testing and reinforcement learning.

An experienced A+ team

Our team’s hands-on innovation experience spans geos and industries. They bring workflow-specific expertise from both a technical and functional standpoint, and each person passes a CLEAR background check.

Pragmatic data-driven governance

Our purpose-built team is focused on driving quality, security and compliance.  We leverage dashboards for live monitoring of robot performance with 
metrics including task success rate, cycle time, MTBF and SLA adherence

Co-investments in innovation

Our investments in quality, innovation, security, training and compliance help our clients achieve their desired outcomes. For example, our Robotics Training Academy ensures our team is aligned with our clients' goals.

Safety-first framework

We embed safety into design using FMEA, ISO 10218 and sandbox testing. We also balance research velocity with operational safety through simulation-first deployment.

Robotics for a Smarter Future

From the lab to the field, we build robotics that think, learn and help people do more.

The Robotics COE was born from a simple realization: if you combine HCLTech’s deep engineering legacy with emerging AI capabilities, you can build machines that do more than automate—they can adapt, learn and collaborate.

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A Day in the Life of an HCLTech Robot Wrangler

HCLTech Accelerators for Robotics Intelligence CoE

GenIE

A GenAI-based device interface SDK + appliance built on NVIDIA Jetson Nano. Disrupts user interaction with assets and products using generative AI.

Doc AI

Uses GenAI for automated documentation of products, assets and processes. Ideal for technical manuals, SOPs and compliance documentation.

Vision X – Surveillance

Vision AI-powered security and surveillance platform for infrastructure operators. Part of HCLTech’s AIoT (AI + IoT) strategy.

Smart Twin / Software-Defined Manufacturing

Uses NVIDIA Omniverse to create digital twins of processes and assets. Enables convergence toward autonomous operations.

Vision X - Quality (AiVIS)

Vision AI for automated quality control in a lab environment. Integrates with existing tech stacks to boost product quality.

Track & Trace AI

Real-time AI-driven insights and decision support for logistics and operations. Enhances customer value through visibility and traceability.

Insight Guard-AI

Adds GenAI features like predictive maintenance and quality analytics to production workflows.

Reason-AI

AI system to automatically identify root causes of micro-stoppages. Improves data quality for AI training and operational efficiency.

Lab Operations and Management

Description

A trusted global presence, our clients turn to us to run large labs for specialized industries including aerospace and defense, semiconductor, MedTech and automotive. 

Not only do we manage large-scale labs for our clients, but we have a global footprint of our own internal R&D programs. 

We follow best practices for the allocation and collection of inventory, procurement of devices and parts and lab maintenance.

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30+

Years of lab management experience

110

Labs powering digital transformation journeys of G2K enterprises

60+

State-of-the-art shared labs

250,000+

Square feet of lab space managed around the world

Responsible AI in Robotics

HCLTech’s approach to Responsible AI is rooted in its foundations of trust and social responsibility. HCLTech has a longstanding commitment to improving our communities and planet and is dedicated to enabling successful Responsible AI efforts.

In applying Responsible AI in robotics, we focus on physical safety, human interactions and autonomy. We are committed to the ethical, safe and transparent use of robots that align with societal values and our Responsible AI tenets of:

  • Accountability
  • Fairness
  • Security
  • Privacy
  • Transparency

This starts with an ethics-by-design approach and a focus on oversight, explainability and safety across trust boundaries of interfaces in the robotic ecosystem.

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Responsible AI in Robotics

Featured Case Studies

About Us

sustainability

Our commitment to sustainability

Our sustainability strategy aims for net-zero emissions by 2040. We have achieved a 25% reduction in Scope 1 and 2 emissions and are committed to transitioning 80% of our electricity to renewable sources by 2030.

Consistently voted Great Place to Work!

Consistently voted Great Place to Work!

We have been certified as Top Employer by Top Employers Institute in 26 countries, with No. 1 ranking in 18 of these. We rank No. 1 Top Employer in three key geographies — North America, Europe and Asia Pacific.

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