VK Global is developing VK AI TradeOS — practical AI for physical commodity trading, designed around the real operational needs of SME traders.
VK Global Pvt Ltd is a UK company established in 2018, bringing together decades of experience in international physical commodity trading, trade operations, structured trade finance and financial markets.
That operating experience now provides the foundation for VK Global's next direction: applying practical artificial intelligence to the everyday needs of physical commodity businesses.
Our approach starts with the realities of commodity trading and then applies technology where it can make work simpler, faster and better organised.
VK AI TradeOS is being developed as an AI-powered platform for SME physical commodity traders. The objective is to improve access to relevant information, simplify operational processes and help trading businesses save time while maintaining better visibility over day-to-day activity.
Designed from hands-on physical commodity experience rather than adapted from generic software workflows.
Focused on useful business applications of AI that support real trading and operational requirements.
Developed with the needs of smaller and owner-led commodity businesses in mind.
Initial areas of focus include agricultural commodities, palm oil and selected niche physical commodity markets, with the potential to expand into additional sectors over time.
VK AI TradeOS is being developed at the intersection of these disciplines, with the product direction informed by decades of operational experience.
Our long-term ambition is to combine deep commodity-domain experience, disciplined execution and practical AI technology to build a scalable business serving physical commodity markets.
Annual revenue ambition within the next 10 years.
“The opportunity is not AI for its own sake. It is using AI to make real commodity businesses work better.”
Email: info@vkglobal.ltd
For all enquiries, please contact us by email. Direct contact details can be provided on a case-by-case basis where appropriate.