Former Infosys CEO Vishal Sikka has launched a new artificial intelligence venture, Hang Ten Systems, which has secured $32 million in seed funding. The round was led by venture capital firm Mayfield, with participation from Aramco Ventures and a group of angel investors.
Based in Palo Alto, California, Hang Ten Systems aims to help large enterprises adopt AI more effectively by building and operating software using an AI-native delivery model. The company seeks to reduce the time, cost, and complexity traditionally associated with enterprise software development and deployment.
In an official statement, Hang Ten explained: “Hang Ten offers a different operating model – software built, changed, and run at a fraction of the cost and time, continuously – with specialized capabilities in enterprise transformations, finance, HR, and new product development, supported by an expert FDE (forward deployed engineer) bench, re-usable skills library, and agentic code generation.”
Hang Ten positions itself as a company offering a fresh perspective on IT services and enterprise software deployment. By leveraging agentic code generation, an AI library, and the right engineering skills, it can build and operate enterprise software more efficiently. Sikka noted that while companies are spending heavily on AI, many still fail to derive value from their investments. Hang Ten bridges that gap by enabling enterprises to design and modify their software quickly and cost-effectively.
This is Sikka’s latest AI venture after founding Vianai Systems following his departure from Infosys in 2017. Before leading Infosys, Sikka served as Chief Technology Officer at SAP, where he was deeply involved in product innovation.
During the announcement, Sikka stated that artificial intelligence is an incredible power for firms, and that Hang Ten’s mission is to enable enterprises to “succeed in the era of AI.” This comes at a time when the enterprise AI industry continues to expand, and companies are seeking measurable returns from their AI investments.