Vishal Sikka’s Hang Ten raises $32 million for enterprise AI

Hang Ten Systems raised $32 million in seed funding to push enterprise AI into day-to-day corporate operations, with Mayfield leading the round and Aramco Ventures among the backers. Jerry Yang, the Yahoo co-founder, also joined the Palo Alto, California, startup’s board, adding another high-profile name to Vishal Sikka’s latest enterprise software bet.

The company is positioning itself as an AI-native enterprise software services platform built to help large organizations turn AI spending into measurable business outcomes. Its pitch is pointed: cut the cost and time tied to software development, customization, integration and maintenance, while helping enterprises move from pilots and experimentation to deployments that actually scale.

Hang Ten says it is already working with large global enterprises including Fresenius and Siemens Energy. Another report said Siemens Gamesa Renewable Energy is also among its customers, underscoring the company’s focus on industrial and complex multinational users rather than consumer AI products.

The launch extends Sikka’s long run in enterprise technology. He left Infosys in 2017 and founded Vianai Systems in 2019 after 16 years in enterprise leadership at Infosys and SAP. Vianai says Sikka holds a PhD in AI from Stanford University and has also served on the boards of Oracle and BMW.

The funding round is strategically important because it arrives as companies face mounting pressure to make generative AI produce operating gains, not just internal demos. Hang Ten’s model puts it in the middle of that shift, offering a service layer that aims to translate AI investment into delivery, customization and maintenance for large customers.

Aramco Ventures said it invests across the capital stack from early stage to growth and works with founders and co-investors to add value, a fit that reinforces the round’s enterprise orientation. With Mayfield at the front of the financing and Jerry Yang on the board, Sikka is betting that the next phase of AI spending will favor companies that can deliver outcomes more quickly than the labor-heavy outsourcing firms that defined the last generation of IT services.