Hang Ten Systems, founded by former Infosys CEO Vishal Sikka, has secured $53 million in a new funding round, bringing its total capital to $85 million. While the startup remains private, its focus on agentic AI for enterprise workflows highlights a significant shift in IT service models. The new capital will support team growth and expansion into Singapore and Southeast Asia.
Hang Ten Systems, the enterprise AI venture founded by former Infosys CEO Vishal Sikka, has raised $53 million in a second seed funding round. This latest injection, led by Xora—a fund backed by Temasek—brings the company's total cumulative funding to $85 million. Other participants in the round included Mayfield and Aramco Ventures. The company, which is privately held, plans to use this capital to bolster its engineering and consulting teams, scale its delivery capacity, and expand its footprint into Singapore and Southeast Asia.
The startup is positioning itself as an alternative to traditional IT services by using agentic AI, which involves autonomous software agents that can generate code and handle enterprise workflows. The firm focuses on areas such as software development, finance, and human resources. By automating parts of these complex tasks, the company aims to reduce costs and shorten implementation timelines for large industrial clients, including Aramco and Siemens Gamesa.
The involvement of industry veterans adds weight to the company’s profile. Yahoo! co-founder Jerry Yang has joined the board of directors, signaling confidence in the firm’s strategic direction. For Indian investors observing the broader technology sector, Hang Ten’s growth is a relevant development. While the company is not listed on public exchanges, its progress acts as a case study for the shift from conventional system integration to AI-native service models.
The central risk for the company remains the high barrier to entry in enterprise technology. Large corporations demand extreme reliability, and any failure in system deployment can carry significant operational consequences. Furthermore, the company must compete against established IT services giants that are also aggressively investing in their own AI capabilities. Success will depend on the firm's ability to turn pilot projects into long-term, high-value contracts while scaling its team without sacrificing service quality. Investors tracking the IT sector will monitor how the company expands its delivery capacity and whether it can successfully scale its platform beyond early pilot engagements.