Ravindra Yadav | Corporate AI Training & Consulting

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Small Generative AI company Ravindra Yadav | Corporate AI Training & Consulting, is headquartered in Kathmandu, Nepal. Launched in 2020, the team provides Generative AI, AI Agents, Corporate Training & Coaching, AI Consulting, and more.

Client Insights

Industry Expertise

Education

35%

Information technology

35%

Business services

30%

Client Size Distribution

Small Business (<$10M) 50%

Midmarket ($10M - $1B) 30%

Enterprise (>$1B) 20%

Common Project Size

This provider does not have any client reviews.

Clients

  • lbef

Highlights from Recent Projects

Overall Rating

5.0
1 Review

As a capacity building head at Manaram Handicraft Nepal, a handicraft manufacturer and exporter, there was a need to address the AI training of the company's finance team. Ravindra Yadav | Corporate AI Training & Consulting was approached for help following an online search due to its geographical proximity and cultural fit with Manaram Handicraft. Furthermore, its company values resonated with the Manaram Handicraft's objectives.

Ravindra Yadav | Corporate AI Training & Consulting was tasked with establishing a practical AI training program for the finance team. The training program entailed practical applications of AI for financial data analysis, data interpretation, reporting, and visualization. The use of Claude, a program by Ravindra Yadav, played a significant role in demonstrating real workflows and practical use cases. Additionally, the Ravindra Yadav team was always on call, providing timely resources, guidance, and instructions.

The collaboration with Ravindra Yadav | Corporate AI Training & Consulting kicked off in May 2026 and has been ongoing since then. The company offered an active teammate from its end to ensure things ran smoothly. The engagement has been instrumental in equipping the finance team with practical AI skills that go a long way in enhancing the efficiency and effectiveness of their daily operations.

Timeliness

5.0

Service Excellence

4.5

Value

5.0

Would Recommend

5.0