Trupeer AI Appoints Raghu Subramanian as President and CBO

Subramanian has more than 25 years of experience in the technology industry. He was part of the founding leadership team at UiPath and later served as President and CEO for India and the Asia-Pacific region, helping the company grow its automation business. Before joining UiPath, he was the Chief Technology Officer at EXL Service.

In his new role, Subramanian will lead Trupeer AI’s business growth strategy, focusing on enterprise customers, SaaS companies, Global Capability Centres (GCCs), and other technology-driven businesses.

Shivali Goyal, CEO and Co-Founder, Trupeer AI, said, “Raghu has spent decades helping organisations adopt and scale transformative technologies and brings deep experience in building enterprises globally. Having seen first-hand the challenges enterprises face in organisational knowledge and agentic AI enablement, Raghu immediately resonated with our vision and the momentum Trupeer has built globally. His expertise will help us strengthen our commercial capabilities, deepen partnerships, and unlock the next phase of growth at Trupeer.”

Subramanian, President and Chief Business Officer, Trupeer AI, said, “Enterprises have long struggled to get real value from AI, and the reason is fragmented context. The knowledge that makes AI useful sits trapped in people's heads and scattered across tools. In the agentic AI era, where agents are only as good as the context they run on, that gap becomes the difference between AI that works and doesn't. This is the gap Trupeer was built to close.

I look forward to partnering with enterprises and organisations across the globe to build the context layer that makes enterprise knowledge structured, accessible, and actionable, and AI genuinely useful."

The appointment comes at a time when more businesses are investing in systems and tools that help manage information and support the growing use of AI.

According to Trupeer AI, Gartner predicts that task-specific AI agents will become a standard part of enterprise software by the end of 2026. However, many companies may still struggle to successfully implement AI because of poor data quality, weak knowledge management, and outdated technology infrastructure.