How Judge India blending Cloud, AI and managed services for a digital future?

Abhishek Agarwal, President, Judge India & Global Delivery, The Judge Group, shares how the company is shaping Cloud, AI, IoT, and semiconductor solutions in India. Balancing AI-based LMS platform BRIHA to its unique semiconductor virtualisation practice.

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Bharti Trehan
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How Judge India blending Cloud AI and managed services

How Judge India blending Cloud, AI and managed services for a digital future?

Cloud computing, Artificial Intelligence (AI), Machine Learning (ML), and managed services are no longer buzzwords. They are the engines powering today’s global enterprises. From optimising operations to virtualising hardware, these technologies are transforming how companies innovate, scale and secure their businesses.

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Within this landscape, Judge India, part of the US-headquartered Judge Group, has steadily positioned itself as a trusted partner. With the experience of 55 years in technology and staffing solutions, the company entered India in 2016 and has since expanded into Noida, Bengaluru and Hyderabad. Abhishek Agarwal, President, Judge India & Global Delivery, spoke with me about the company’s evolution, its role in Cloud and AI transformation, and how it is helping clients embrace new-age solutions.

The Judge Group journey: from USD 2,000 to global scale

Looking back at the group’s roots, Agarwal shared a candid story.

“The company started in 1970 when our chairman, Marty Judge, borrowed USD 2,000 from his father. It began as a search firm and evolved into one of the largest IT staffing companies in the US. Judge India came into the picture in September 2016. We just completed nine incredible years, and it feels great to still operate from the same building where we started.”

Judge India has since built a strong presence in technology consulting and professional services, strategically locating its offices in India’s tech hubs.

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Cloud, AI and IoT: frameworks for clients

On Judge India’s approach to innovation, Agarwal was clear.

“We have dedicated practices in Cloud, AI and IoT. We have built frameworks where we help clients with Cloud implementation, AI layering, and IoT adoption. For example, in manufacturing and automotive, we have deployed AI and IoT to improve efficiency and decision-making.”

The company partners with ServiceNow, SAP, UiPath and others, ensuring a strong ecosystem to deliver solutions across industries.

“AI is horizontal; it cuts across all technologies. Whether it is ServiceNow, SAP, or semiconductors, AI plays a key role in optimising outcomes,” he explained.

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Balancing AI and human capital

The AI wave often triggers fears about job losses. Agarwal addressed this directly.

“Yes, some routine tasks like coding or testing are now automated. But new jobs are emerging where humans guide AI systems on what to code and how to write it. AI is not about removing humans; it is about enhancing efficiency.”

Judge India’s strategy has been reskilling and recalibration.

“We don’t let people go because of AI. Instead, we reskill them, train them in AI concepts, and enable them to work with these tools. That is how we balance digital acceleration with human capital.”

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Security and compliance: staying one step ahead

With Cloud and AI come new cyber risks. Agarwal emphasised vigilance.

“For us, it is about continuous monitoring and upgrading. We detect threats early and have systems that disconnect automatically if needed. Of course, no one is 100 percent safe, government servers can be hacked toobut we have all the mechanisms in place to stay ahead.”

On data privacy, he was equally confident.

“We are fully compliant with DPDPA. We have ensured both cybersecurity and data privacy are addressed for our clients.”

Digital transformation and managed services in India

Judge India’s portfolio spans e-learning, e-governance and managed services. Demand, Agarwal noted, is particularly strong in the semiconductor space.

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“Digital transformation continues, now aligned with AI. But the real demand in India is in semiconductors. Virtualisation of hardware is something very unique we are doing.”

This involves virtualising chips and motherboards, enabling clients to test designs before physical manufacturing.

“Instead of building a phone and then remaking it if something fails, we virtualise the motherboard. Companies save both time and money by testing before mass production,” Agarwal explained.

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Partnerships in the semiconductor ecosystem

Judge India has made significant inroads here.

“We are associated with semiconductor chip manufacturers and automotive companies, especially for driverless car technologies. Our partnership with ARM is key; we are a golden partner in their ecosystem,” he said.

The virtualisation of hardware is already supporting global clients in robotics, automotive, and consumer electronics.

New solutions: learning management system with AI

Apart from semiconductors, Judge India has also ventured into proprietary platforms.

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“We have our own AI-enabled Learning Management System (LMS) called BRIHA, named after Guru Brihaspati. It has been implemented across 78 agricultural universities in India. This is a homegrown tool that blends AI with education.”

The next 3–5 years: semiconductors, LMS and scaling globally

Agarwal outlined the roadmap ahead.

“Our focus in the next three to five years is on scaling our semiconductor practice, it is niche and has huge potential. At the same time, we will strengthen BRIHA, our LMS platform. The vision is to combine talent and technology solutions to drive digital transformation globally.”

Conclusion: Judge India’s role in digital acceleration

From virtualising hardware to AI-enabled e-learning, Judge India is carving a distinctive role in the global digital economy. By blending Cloud, AI, IoT and managed services with a strong partner ecosystem, the company is ensuring that clients are not just future-ready but future-proof.

As Agarwal summed up, “Unless we adapt, we cannot survive. AI is here to stay, and the journey has just started. Our role is to help clients embrace it, train people for it, and ensure efficiency across systems.”

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